{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T15:08:56Z","timestamp":1780672136684,"version":"3.54.1"},"reference-count":142,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2019,7,2]],"date-time":"2019-07-02T00:00:00Z","timestamp":1562025600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,7,2]],"date-time":"2019-07-02T00:00:00Z","timestamp":1562025600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s00521-019-04325-3","type":"journal-article","created":{"date-parts":[[2019,7,2]],"date-time":"2019-07-02T20:07:46Z","timestamp":1562098066000},"page":"8315-8366","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":66,"title":["Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology"],"prefix":"10.1007","volume":"32","author":[{"given":"A. A.","family":"Zaidan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B. B.","family":"Zaidan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. A.","family":"Alsalem","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"O. S.","family":"Albahri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A. S.","family":"Albahri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. Y.","family":"Qahtan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,7,2]]},"reference":[{"key":"4325_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-018-9648-9","author":"A Zaidan","year":"2018","unstructured":"Zaidan A, Zaidan B et al (2018) A review on intelligent process for smart home applications based on IoT: coherent taxonomy, motivation, open challenges, and recommendations. Artif Intell Rev. https:\/\/doi.org\/10.1007\/s10462-018-9648-9","journal-title":"Artif Intell Rev"},{"key":"4325_CR2","doi-asserted-by":"crossref","unstructured":"Tan J, Koo SG (2014) A survey of technologies in internet of things. In: 2014 IEEE international conference on distributed computing in sensor systems. IEEE","DOI":"10.1109\/DCOSS.2014.45"},{"key":"4325_CR3","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.micpro.2017.10.014","volume":"56","author":"TN Gia","year":"2018","unstructured":"Gia TN et al (2018) Energy efficient wearable sensor node for IoT-based fall detection systems. Microprocess Microsyst 56:34\u201346","journal-title":"Microprocess Microsyst"},{"key":"4325_CR4","doi-asserted-by":"crossref","first-page":"1332","DOI":"10.1016\/j.procs.2016.08.178","volume":"96","author":"H Ishii","year":"2016","unstructured":"Ishii H et al (2016) An early detection system for dementia using the M2M\/IoT platform. Procedia Comput Sci 96:1332\u20131340","journal-title":"Procedia Comput Sci"},{"key":"4325_CR5","doi-asserted-by":"crossref","unstructured":"Kapoor A et al (2016) Implementation of IoT (Internet of Things) and image processing in smart agriculture. In: 2016 international conference on computation system and information technology for sustainable solutions (CSITSS). IEEE","DOI":"10.1109\/CSITSS.2016.7779434"},{"key":"4325_CR6","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1016\/j.future.2017.03.030","volume":"81","author":"P Hu","year":"2018","unstructured":"Hu P et al (2018) A unified face identification and resolution scheme using cloud computing in Internet of Things. Future Gener Comput Syst 81:582\u2013592","journal-title":"Future Gener Comput Syst"},{"key":"4325_CR7","doi-asserted-by":"crossref","unstructured":"Madeira R, Nunes L (2016) A machine learning approach for indirect human presence detection using IoT devices. In: 2016 eleventh international conference on digital information management (ICDIM). IEEE","DOI":"10.1109\/ICDIM.2016.7829781"},{"issue":"3","key":"4325_CR8","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1007\/s10916-019-1158-z","volume":"43","author":"M Talal","year":"2019","unstructured":"Talal M et al (2019) Smart home-based IoT for real-time and secure remote health monitoring of triage and priority system using body sensors: multi-driven systematic review. J Med Syst 43(3):42","journal-title":"J Med Syst"},{"issue":"5","key":"4325_CR9","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1007\/s10916-018-0943-4","volume":"42","author":"O Albahri","year":"2018","unstructured":"Albahri O et al (2018) Systematic review of real-time remote health monitoring system in triage and priority-based sensor technology: taxonomy, open challenges, motivation and recommendations. J Med Syst 42(5):80","journal-title":"J Med Syst"},{"issue":"1","key":"4325_CR10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11235-018-0430-8","volume":"69","author":"AA Zaidan","year":"2018","unstructured":"Zaidan AA et al (2018) A survey on communication components for IoT-based technologies in smart homes. Telecommun Syst 69(1):1\u201325","journal-title":"Telecommun Syst"},{"key":"4325_CR11","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.jnca.2017.08.017","volume":"97","author":"M Alaa","year":"2017","unstructured":"Alaa M et al (2017) A review of smart home applications based on Internet of Things. J Netw Comput Appl 97:48\u201365","journal-title":"J Netw Comput Appl"},{"key":"4325_CR12","doi-asserted-by":"crossref","unstructured":"Rupani A et al (2017) A robust technique for image processing based on interfacing of Raspberry-Pi and FPGA using IoT. In: 2017 international conference on computer, communications and electronics (Comptelix). IEEE","DOI":"10.1109\/COMPTELIX.2017.8003992"},{"key":"4325_CR13","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.compag.2017.03.003","volume":"136","author":"M-S Liao","year":"2017","unstructured":"Liao M-S et al (2017) On precisely relating the growth of Phalaenopsis leaves to greenhouse environmental factors by using an IoT-based monitoring system. Comput Electron Agric 136:125\u2013139","journal-title":"Comput Electron Agric"},{"issue":"11","key":"4325_CR14","first-page":"91","volume":"116","author":"R Marimuthu","year":"2017","unstructured":"Marimuthu R et al (2017) Driver fatigue detection using image processing and accident prevention. Int J Pure Appl Math 116(11):91\u201399","journal-title":"Int J Pure Appl Math"},{"key":"4325_CR15","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.jmsy.2017.02.007","volume":"43","author":"H Lee","year":"2017","unstructured":"Lee H (2017) Framework and development of fault detection classification using IoT device and cloud environment. J Manuf Syst 43:257\u2013270","journal-title":"J Manuf Syst"},{"key":"4325_CR16","doi-asserted-by":"crossref","unstructured":"Dinesh M, Sudhaman K (2016) Real time intelligent image processing system with high speed secured Internet of Things: image processor with IOT. In: 2016 international conference on information communication and embedded systems (ICICES). IEEE","DOI":"10.1109\/ICICES.2016.7518840"},{"key":"4325_CR17","doi-asserted-by":"crossref","unstructured":"Gu J, Huayu Y (2015) Real-time image collection and processing system design. In: 2015 fifth international conference on instrumentation and measurement, computer, communication and control (IMCCC). IEEE","DOI":"10.1109\/IMCCC.2015.350"},{"key":"4325_CR18","doi-asserted-by":"crossref","unstructured":"Kongurgsa N, Chumuang N, Ketcham M (2017) Real-time intrusion\u2014detecting and alert system by image processing techniques. In: 2017 10th international conference on Ubi-media computing and workshops (Ubi-Media). IEEE","DOI":"10.1109\/UMEDIA.2017.8074077"},{"issue":"2","key":"4325_CR19","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1109\/JIOT.2014.2311513","volume":"1","author":"Q Wu","year":"2014","unstructured":"Wu Q et al (2014) Cognitive internet of things: a new paradigm beyond connection. IEEE Internet Things J 1(2):129\u2013143","journal-title":"IEEE Internet Things J"},{"key":"4325_CR20","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1016\/j.future.2017.11.021","volume":"82","author":"N Nesa","year":"2018","unstructured":"Nesa N, Ghosh T, Banerjee I (2018) Non-parametric sequence-based learning approach for outlier detection in IoT. Future Gener Comput Syst 82:412\u2013421","journal-title":"Future Gener Comput Syst"},{"issue":"15\u201316","key":"4325_CR21","doi-asserted-by":"crossref","first-page":"6224","DOI":"10.1016\/j.eswa.2015.02.035","volume":"42","author":"Y Beikkhakhian","year":"2015","unstructured":"Beikkhakhian Y et al (2015) The application of ISM model in evaluating agile suppliers selection criteria and ranking suppliers using fuzzy TOPSIS\u2013AHP methods. Expert Syst Appl 42(15\u201316):6224\u20136236","journal-title":"Expert Syst Appl"},{"issue":"2","key":"4325_CR22","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1109\/MIC.2015.26","volume":"19","author":"S Hasan","year":"2015","unstructured":"Hasan S, Curry E (2015) Thingsonomy: tackling variety in internet of things events. IEEE Internet Comput 19(2):10\u201318","journal-title":"IEEE Internet Comput"},{"key":"4325_CR23","unstructured":"Jones MJ, Rehg JM (1999) Statistical color models with application to skin detection. In: Proceedings. 1999 IEEE computer society conference on computer vision and pattern recognition (Cat. No. PR00149)"},{"key":"4325_CR24","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1109\/TPAMI.2005.17","volume":"1","author":"SL Phung","year":"2005","unstructured":"Phung SL, Bouzerdoum A, Chai D (2005) Skin segmentation using color pixel classification: analysis and comparison. IEEE Trans Pattern Anal Mach Intell 1:148\u2013154","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"4325_CR25","doi-asserted-by":"crossref","unstructured":"Gamage N, Akmeliawati R, Chow KY (2009) Towards robust skin colour detection and tracking. In: 2009 IEEE instrumentation and measurement technology conference. IEEE","DOI":"10.1109\/IMTC.2009.5168576"},{"issue":"17","key":"4325_CR26","first-page":"2480","volume":"5","author":"AY Taqa","year":"2010","unstructured":"Taqa AY, Jalab HA (2010) Increasing the reliability of skin detectors. Sci Res Essays 5(17):2480\u20132490","journal-title":"Sci Res Essays"},{"key":"4325_CR27","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.jvcir.2015.02.004","volume":"29","author":"L Huang","year":"2015","unstructured":"Huang L et al (2015) Robust skin detection in real-world images. J Vis Commun Image Represent 29:147\u2013152","journal-title":"J Vis Commun Image Represent"},{"issue":"1","key":"4325_CR28","first-page":"6","volume":"12","author":"D Jensch","year":"2015","unstructured":"Jensch D, Mohr D, Zachmann G (2015) A comparative evaluation of three skin color detection approaches. J Virtual Real Broadcast 12(1):6","journal-title":"J Virtual Real Broadcast"},{"issue":"16","key":"4325_CR29","doi-asserted-by":"crossref","first-page":"2102","DOI":"10.1016\/j.patrec.2013.07.016","volume":"34","author":"JC Sanmiguel","year":"2013","unstructured":"Sanmiguel JC, Suja S (2013) Skin detection by dual maximization of detectors agreement for video monitoring. Pattern Recognit Lett 34(16):2102\u20132109","journal-title":"Pattern Recognit Lett"},{"issue":"6","key":"4325_CR30","doi-asserted-by":"crossref","first-page":"2082","DOI":"10.1109\/TCYB.2013.2240295","volume":"43","author":"BJT Fernandes","year":"2013","unstructured":"Fernandes BJT, Cavalcanti GD, Ren TI (2013) Lateral inhibition pyramidal neural network for image classification. IEEE Trans Cybern 43(6):2082\u20132092","journal-title":"IEEE Trans Cybern"},{"key":"4325_CR31","doi-asserted-by":"crossref","unstructured":"Kawulok M (2013) Fast propagation-based skin regions segmentation in color images. In: 2013 10th IEEE international conference and workshops on automatic face and gesture recognition (FG). IEEE","DOI":"10.1109\/FG.2013.6553733"},{"key":"4325_CR32","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.measurement.2017.09.027","volume":"114","author":"QM Yas","year":"2018","unstructured":"Yas QM et al (2018) Comprehensive insights into evaluation and benchmarking of real-time skin detectors: review, open issues & challenges, and recommended solutions. Measurement 114:243\u2013260","journal-title":"Measurement"},{"issue":"4","key":"4325_CR33","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s12553-018-0223-9","volume":"8","author":"A Zaidan","year":"2018","unstructured":"Zaidan A et al (2018) A review on smartphone skin cancer diagnosis apps in evaluation and benchmarking: coherent taxonomy, open issues and recommendation pathway solution. Health Technol 8(4):223\u2013238","journal-title":"Health Technol"},{"issue":"05","key":"4325_CR34","doi-asserted-by":"crossref","first-page":"1830003","DOI":"10.1142\/S0218126618300039","volume":"27","author":"QM Yas","year":"2018","unstructured":"Yas QM et al (2018) A systematic review on smartphone skin cancer apps: coherent taxonomy, motivations, open challenges and recommendations, and new research direction. J Circuits Syst Comput 27(05):1830003","journal-title":"J Circuits Syst Comput"},{"key":"4325_CR35","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3808-3","author":"H AlSattar","year":"2018","unstructured":"AlSattar H et al (2018) MOGSABAT: a metaheuristic hybrid algorithm for solving multi-objective optimisation problems. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-018-3808-3","journal-title":"Neural Comput Appl"},{"key":"4325_CR36","doi-asserted-by":"publisher","DOI":"10.1007\/s12553-018-0278-7","author":"O Enaizan","year":"2018","unstructured":"Enaizan O et al (2018) Electronic medical record systems: decision support examination framework for individual, security and privacy concerns using multi-perspective analysis. Health Technol. https:\/\/doi.org\/10.1007\/s12553-018-0278-7","journal-title":"Health Technol"},{"key":"4325_CR37","volume-title":"Multiple attribute decision making: methods and applications a state-of-the-art survey","author":"C-L Hwang","year":"2012","unstructured":"Hwang C-L, Yoon K (2012) Multiple attribute decision making: methods and applications a state-of-the-art survey, vol 186. Springer, Berlin"},{"key":"4325_CR38","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622019300039","author":"M Khatari","year":"2019","unstructured":"Khatari M et al (2019) Multi-criteria evaluation and benchmarking for active queue management methods: open issues, challenges and recommended pathway solutions. Int J Inf Technol Decis Mak. https:\/\/doi.org\/10.1142\/S0219622019300039","journal-title":"Int J Inf Technol Decis Mak"},{"issue":"7","key":"4325_CR39","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1007\/s10916-019-1339-9","volume":"43","author":"EM Almahdi","year":"2019","unstructured":"Almahdi EM et al (2019) Mobile-based patient monitoring systems: a prioritisation framework using multi-criteria decision-making techniques. J Med Syst 43(7):219. https:\/\/doi.org\/10.1007\/s10916-019-1339-9","journal-title":"J Med Syst"},{"issue":"7","key":"4325_CR40","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1007\/s10916-019-1336-z","volume":"43","author":"E Almahdi","year":"2019","unstructured":"Almahdi E et al (2019) Mobile patient monitoring systems from a benchmarking aspect: challenges, open issues and recommended solutions. J Med Syst 43(7):207","journal-title":"J Med Syst"},{"issue":"7","key":"4325_CR41","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1007\/s10916-019-1338-x","volume":"43","author":"M Alsalem","year":"2019","unstructured":"Alsalem M et al (2019) Multiclass benchmarking framework for automated acute leukaemia detection and classification based on BWM and Group-VIKOR. J Med Syst 43(7):212","journal-title":"J Med Syst"},{"issue":"50052","key":"4325_CR42","first-page":"50080","volume":"7","author":"A Albahri","year":"2019","unstructured":"Albahri A et al (2019) Fault-tolerant mHealth framework in the context of IoT based real-time wearable health data sensor. IEEE Access 7(50052):50080","journal-title":"IEEE Access"},{"key":"4325_CR43","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.jbi.2014.11.012","volume":"53","author":"A Zaidan","year":"2015","unstructured":"Zaidan A et al (2015) Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS. J Biomed Inform 53:390\u2013404","journal-title":"J Biomed Inform"},{"key":"4325_CR44","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.dss.2015.07.002","volume":"78","author":"A Zaidan","year":"2015","unstructured":"Zaidan A et al (2015) Multi-criteria analysis for OS-EMR software selection problem: a comparative study. Decis Support Syst 78:15\u201327","journal-title":"Decis Support Syst"},{"issue":"7","key":"4325_CR45","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s10916-019-1362-x","volume":"43","author":"KI Mohammed","year":"2019","unstructured":"Mohammed KI, Zaidan AA, Zaidan BB, Albahri OS, Alsalem MA, Albahri AS, Hadi A, Hashim M (2019) Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution procedure. J Med Syst 43(7):223","journal-title":"J Med Syst"},{"issue":"11","key":"4325_CR46","first-page":"1776","volume":"5","author":"AA Zaidan","year":"2010","unstructured":"Zaidan AA, Zaidan BB, Taqa YA, Sami MK, Alam GM, Jalab AH (2010) Novel multi-cover steganography using remote sensing image and general recursion neural cryptosystem. Int J Phys Sci 5(11):1776\u20131786","journal-title":"Int J Phys Sci"},{"issue":"2","key":"4325_CR47","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1109\/MC.2012.394","volume":"46","author":"S Hodges","year":"2012","unstructured":"Hodges S et al (2012) Prototyping connected devices for the internet of things. Computer 46(2):26\u201334","journal-title":"Computer"},{"issue":"2","key":"4325_CR48","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/MPRV.2015.32","volume":"14","author":"M Satyanarayanan","year":"2015","unstructured":"Satyanarayanan M et al (2015) Edge analytics in the internet of things. IEEE Pervasive Comput 14(2):24\u201331","journal-title":"IEEE Pervasive Comput"},{"key":"4325_CR49","doi-asserted-by":"crossref","unstructured":"Wehner P, Piberger C, G\u00f6hringer D (2014) Using JSON to manage communication between services in the Internet of Things. In: 2014 9th international symposium on reconfigurable and communication-centric systems-on-chip (ReCoSoC). IEEE","DOI":"10.1109\/ReCoSoC.2014.6861361"},{"issue":"15","key":"4325_CR50","doi-asserted-by":"crossref","first-page":"2787","DOI":"10.1016\/j.comnet.2010.05.010","volume":"54","author":"L Atzori","year":"2010","unstructured":"Atzori L, Iera A, Morabito G (2010) The Internet of Things: a survey. Comput Netw 54(15):2787\u20132805","journal-title":"Comput Netw"},{"issue":"2","key":"4325_CR51","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1016\/j.jnca.2011.10.015","volume":"35","author":"MC Domingo","year":"2012","unstructured":"Domingo MC (2012) An overview of the Internet of Things for people with disabilities. J Netw Comput Appl 35(2):584\u2013596","journal-title":"J Netw Comput Appl"},{"key":"4325_CR52","unstructured":"Posse TAR (2014) A software defined networking architecture for secure routing"},{"key":"4325_CR53","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/MC.2015.12","volume":"1","author":"R Want","year":"2015","unstructured":"Want R, Schilit BN, Jenson S (2015) Enabling the internet of things. Computer 1:28\u201335","journal-title":"Computer"},{"key":"4325_CR54","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.engappai.2014.03.002","volume":"32","author":"A Zaidan","year":"2014","unstructured":"Zaidan A et al (2014) Image skin segmentation based on multi-agent learning Bayesian and neural network. Eng Appl Artif Intell 32:136\u2013150","journal-title":"Eng Appl Artif Intell"},{"issue":"3","key":"4325_CR55","first-page":"24","volume":"57","author":"I-G Mircea","year":"2012","unstructured":"Mircea I-G et al (2012) An evaluation of color spaces used in skin color detection. Stud Univ Babes-Bolyai Inform 57(3):24\u201334","journal-title":"Stud Univ Babes-Bolyai Inform"},{"issue":"03","key":"4325_CR56","doi-asserted-by":"crossref","first-page":"1759002","DOI":"10.1142\/S0218001417590029","volume":"31","author":"QM Yas","year":"2017","unstructured":"Yas QM et al (2017) Towards on develop a framework for the evaluation and benchmarking of skin detectors based on artificial intelligent models using multi-criteria decision-making techniques. Int J Pattern Recognit Artif Intell 31(03):1759002","journal-title":"Int J Pattern Recognit Artif Intell"},{"key":"4325_CR57","unstructured":"Zaidan AA (2013) Anti-pornography algorithm based on multi-agent learning in skin detector and pornography classifier. Multimedia University (Malaysia)"},{"issue":"16","key":"4325_CR58","first-page":"2471","volume":"5","author":"A Zaidan","year":"2010","unstructured":"Zaidan A et al (2010) A novel hybrid module of skin detector using grouping histogram technique for Bayesian method and segment adjacent-nested technique for neural network. Int J Phys Sci 5(16):2471\u20132492","journal-title":"Int J Phys Sci"},{"issue":"19","key":"4325_CR59","first-page":"2931","volume":"5","author":"A Zaidan","year":"2010","unstructured":"Zaidan A et al (2010) Increase reliability for skin detector using backprobgation neural network and heuristic rules based on YCbCr. Sci Res Essays 5(19):2931\u20132946","journal-title":"Sci Res Essays"},{"key":"4325_CR60","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.neucom.2013.10.003","volume":"131","author":"A Zaidan","year":"2014","unstructured":"Zaidan A et al (2014) On the multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: an automated anti-pornography system. Neurocomputing 131:397\u2013418","journal-title":"Neurocomputing"},{"issue":"13","key":"4325_CR61","first-page":"2084","volume":"5","author":"A Zaidan","year":"2010","unstructured":"Zaidan A et al (2010) A new hybrid module for skin detector using fuzzy inference system structure and explicit rules. Int J Phys Sci 5(13):2084\u20132097","journal-title":"Int J Phys Sci"},{"issue":"04","key":"4325_CR62","doi-asserted-by":"crossref","first-page":"1350012","DOI":"10.1142\/S0218001413500122","volume":"27","author":"A Zaidan","year":"2013","unstructured":"Zaidan A et al (2013) An automated anti-pornography system using a skin detector based on artificial intelligence: a review. Int J Pattern Recognit Artif Intell 27(04):1350012","journal-title":"Int J Pattern Recognit Artif Intell"},{"issue":"01","key":"4325_CR63","doi-asserted-by":"crossref","first-page":"1459001","DOI":"10.1142\/S0218001414590010","volume":"28","author":"A Zaidan","year":"2014","unstructured":"Zaidan A et al (2014) A four-phases methodology to propose anti-pornography system based on neural and Bayesian methods of artificial intelligence. Int J Pattern Recognit Artif Intell 28(01):1459001","journal-title":"Int J Pattern Recognit Artif Intell"},{"key":"4325_CR64","doi-asserted-by":"crossref","unstructured":"Powers DM (2013) A computationally and cognitively plausible model of supervised and unsupervised learning. In: International conference on brain inspired cognitive systems. Springer","DOI":"10.1007\/978-3-642-38786-9_17"},{"key":"4325_CR65","doi-asserted-by":"crossref","unstructured":"Rupanagudi SR et al (2015) A novel cloud computing based smart farming system for early detection of borer insects in tomatoes. In: 2015 international conference on communication, information & computing technology (ICCICT). IEEE","DOI":"10.1109\/ICCICT.2015.7045722"},{"key":"4325_CR66","doi-asserted-by":"crossref","unstructured":"Al-Mohair HK, Mohamad-Saleh J, Suandi SA (2014) Color space selection for human skin detection using color-texture features and neural networks. In: 2014 international conference on computer and information sciences (ICCOINS). IEEE","DOI":"10.1109\/ICCOINS.2014.6868362"},{"key":"4325_CR67","doi-asserted-by":"crossref","unstructured":"Yang J, Lu W, Waibel A (1998) Skin-color modeling and adaptation. In: Asian conference on computer vision. Springer","DOI":"10.21236\/ADA327881"},{"issue":"7","key":"4325_CR68","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1002\/spe.920","volume":"39","author":"YH Wang","year":"2009","unstructured":"Wang YH, Wu IC et al (2009) Achieving high and consistent rendering performance of Java AWT\/Swing on multiple platforms. Softw Pract Exp 39(7):701\u2013736","journal-title":"Softw Pract Exp"},{"issue":"2","key":"4325_CR69","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/S0896-6273(00)80553-X","volume":"21","author":"S Zhang","year":"1998","unstructured":"Zhang S et al (1998) Calmodulin mediates calcium-dependent inactivation of N-methyl-d-aspartate receptors. Neuron 21(2):443\u2013453","journal-title":"Neuron"},{"key":"4325_CR70","unstructured":"Chai D, Bouzerdoum A (2000) A Bayesian approach to skin color classification in YCbCr color space. In: 2000 TENCON Proceedings. Intelligent systems and technologies for the New Millennium (Cat. No. 00CH37119). IEEE"},{"key":"4325_CR71","doi-asserted-by":"crossref","unstructured":"Daithankar MV, Karande KJ, Harale AD (2014) Analysis of skin color models for face detection. In: 2014 international conference on communication and signal processing. IEEE","DOI":"10.1109\/ICCSP.2014.6949899"},{"issue":"3","key":"4325_CR72","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1016\/j.dsp.2009.10.008","volume":"20","author":"JM Chaves-Gonz\u00e1lez","year":"2010","unstructured":"Chaves-Gonz\u00e1lez JM et al (2010) Detecting skin in face recognition systems: a colour spaces study. Digit Signal Proc 20(3):806\u2013823","journal-title":"Digit Signal Proc"},{"key":"4325_CR73","unstructured":"Zhengzhen Z, Yuexiang S (2009) Skin color detecting unite YCgCb color space with YCgCr color space. In: 2009 international conference on image analysis and signal processing. IEEE"},{"issue":"3","key":"4325_CR74","first-page":"21","volume":"1","author":"A Abadpour","year":"2005","unstructured":"Abadpour A, Kasaei S (2005) Pixel-based skin detection for pornography filtering. Iran J Electr Electron Eng 1(3):21\u201341","journal-title":"Iran J Electr Electron Eng"},{"key":"4325_CR75","unstructured":"Yang J et al (2004) Adaptive skin detection using multiple cues. In: 2004 international conference on image processing, 2004. ICIP\u201904. IEEE"},{"key":"4325_CR76","unstructured":"Ma Z, Leijon A (2010) Human skin color detection in RGB space with Bayesian estimation of beta mixture models. In: 2010 18th European signal processing conference. IEEE"},{"issue":"2","key":"4325_CR77","first-page":"100","volume":"13","author":"V Tolieng","year":"2017","unstructured":"Tolieng V et al (2017) Identification and lactic acid production of bacteria isolated from soils and tree barks. Malays J Microbiol 13(2):100\u2013108","journal-title":"Malays J Microbiol"},{"issue":"2","key":"4325_CR78","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.patrec.2011.09.032","volume":"33","author":"R Khan","year":"2012","unstructured":"Khan R et al (2012) Color based skin classification. Pattern Recognit Lett 33(2):157\u2013163","journal-title":"Pattern Recognit Lett"},{"key":"4325_CR79","unstructured":"Shin MC, Chang KI, Tsap LV (2002) Does colorspace transformation make any difference on skin detection? In: Proceedings of sixth IEEE workshop on applications of computer vision, 2002 (WACV 2002). IEEE"},{"issue":"6","key":"4325_CR80","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.jvcir.2007.04.008","volume":"18","author":"SJ Schmugge","year":"2007","unstructured":"Schmugge SJ et al (2007) Task-based evaluation of skin detection for communication and perceptual interfaces. J Vis Commun Image Represent 18(6):487\u2013495","journal-title":"J Vis Commun Image Represent"},{"issue":"4","key":"4325_CR81","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1145\/146443.146479","volume":"11","author":"JM Kasson","year":"1992","unstructured":"Kasson JM, Plouffe W (1992) An analysis of selected computer interchange color spaces. ACM Trans Gr (TOG) 11(4):373\u2013405","journal-title":"ACM Trans Gr (TOG)"},{"key":"4325_CR82","doi-asserted-by":"crossref","unstructured":"Xiong W, Li Q (2012) Chinese skin detection in different color spaces. In: 2012 international conference on wireless communications and signal processing (WCSP). IEEE","DOI":"10.1109\/WCSP.2012.6542853"},{"key":"4325_CR83","doi-asserted-by":"crossref","unstructured":"Araban S, Farokhi F, Kangarloo K (2011) Determining effective colour components for skin detection using a clustered neural network. In: 2011 IEEE international conference on signal and image processing applications (ICSIPA). IEEE","DOI":"10.1109\/ICSIPA.2011.6144144"},{"key":"4325_CR84","first-page":"77","volume":"2","author":"MH Beale","year":"2010","unstructured":"Beale MH, Hagan MT, Demuth HB (2010) Neural network toolbox. User\u2019s Guide MathWorks 2:77\u201381","journal-title":"User\u2019s Guide MathWorks"},{"issue":"10","key":"4325_CR85","first-page":"67","volume":"9","author":"H Zolfaghari","year":"2011","unstructured":"Zolfaghari H, Nekonam AS, Haddadnia J (2011) Color-base skin detection using hybrid neural network & genetic algorithm for real times. Int J Comput Sci Inf Secur 9(10):67\u201371","journal-title":"Int J Comput Sci Inf Secur"},{"key":"4325_CR86","doi-asserted-by":"crossref","unstructured":"Bhoyar K, Kakde O (2010) Skin color detection model using neural networks and its performance evaluation. J Comput Sci. Citeseer","DOI":"10.3844\/jcssp.2010.963.968"},{"key":"4325_CR87","unstructured":"Doukim CA et al (2011) Combining neural networks for skin detection. arXiv preprint arXiv:1101.0384"},{"issue":"3","key":"4325_CR88","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1023\/B:MACH.0000039778.69032.ab","volume":"57","author":"PA Flach","year":"2004","unstructured":"Flach PA, Lachiche N (2004) Naive Bayesian classification of structured data. Mach Learn 57(3):233\u2013269","journal-title":"Mach Learn"},{"key":"4325_CR89","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1007\/978-3-642-36249-1_9","volume-title":"Assurances for self-adaptive systems","author":"A Metzger","year":"2013","unstructured":"Metzger A, Sammodi O, Pohl K (2013) Accurate proactive adaptation of service-oriented systems. In: C\u00e1mara J, de Lemos R, Ghezzi C, Lopes C (eds) Assurances for self-adaptive systems. Springer, Berlin, pp 240\u2013265"},{"issue":"1","key":"4325_CR90","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1109\/SURV.2013.103013.00206","volume":"16","author":"C-W Tsai","year":"2013","unstructured":"Tsai C-W et al (2013) Data mining for internet of things: a survey. IEEE Commun Surv Tutor 16(1):77\u201397","journal-title":"IEEE Commun Surv Tutor"},{"issue":"1","key":"4325_CR91","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1007\/s13198-015-0365-3","volume":"7","author":"S Kant","year":"2016","unstructured":"Kant S, Ansari IA (2016) An improved K means clustering with Atkinson index to classify liver patient dataset. Int J Syst Assur Eng Manag 7(1):222\u2013228","journal-title":"Int J Syst Assur Eng Manag"},{"key":"4325_CR92","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.patcog.2016.03.028","volume":"58","author":"SM Erfani","year":"2016","unstructured":"Erfani SM et al (2016) High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning. Pattern Recognit 58:121\u2013134","journal-title":"Pattern Recognit"},{"issue":"6","key":"4325_CR93","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1111\/j.1467-8667.2009.00599.x","volume":"24","author":"N Caterino","year":"2009","unstructured":"Caterino N et al (2009) Comparative analysis of multi-criteria decision-making methods for seismic structural retrofitting. Comput Aided Civ Infrastruct Eng 24(6):432\u2013445","journal-title":"Comput Aided Civ Infrastruct Eng"},{"key":"4325_CR94","first-page":"9","volume":"2","author":"V Gayatri","year":"2013","unstructured":"Gayatri V, Chetan M (2013) Comparative study of different multicriteria decision-making methods. Int J Adv Comput Theory Eng (IJACTE) 2:9\u201312","journal-title":"Int J Adv Comput Theory Eng (IJACTE)"},{"issue":"1","key":"4325_CR95","first-page":"31","volume":"1","author":"M Aruldoss","year":"2013","unstructured":"Aruldoss M, Lakshmi TM, Venkatesan VP (2013) A survey on multi criteria decision making methods and its applications. Am J Inf Syst 1(1):31\u201343","journal-title":"Am J Inf Syst"},{"key":"4325_CR96","first-page":"6428","volume":"4","author":"CH Liu","year":"2016","unstructured":"Liu CH, Lin C-WR (2016) The comparative of the AHP TOPSIS analysis was applied for the commercialization military aircraft logistic maintenance establishment. Int Bus Manag Spec 4:6428\u20136432","journal-title":"Int Bus Manag Spec"},{"key":"4325_CR97","doi-asserted-by":"crossref","first-page":"1313","DOI":"10.1109\/ACCESS.2016.2545741","volume":"4","author":"QM Ashraf","year":"2016","unstructured":"Ashraf QM, Habaebi MH, Islam MR (2016) TOPSIS-based service arbitration for autonomic internet of things. IEEE Access 4:1313\u20131320","journal-title":"IEEE Access"},{"key":"4325_CR98","first-page":"63","volume-title":"Cognitive computing for big data systems over IoT","author":"C Singla","year":"2018","unstructured":"Singla C (2018) Modelling and analysis of multi-objective service selection scheme in IoT-cloud environment. In: Sangaiah AK, Thangavelu A, Sundaram VM (eds) Cognitive computing for big data systems over IoT. Springer, Berlin, pp 63\u201377"},{"issue":"10","key":"4325_CR99","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.1002\/spe.2469","volume":"47","author":"LH Nunes","year":"2017","unstructured":"Nunes LH et al (2017) Multi-criteria IoT resource discovery: a comparative analysis. Softw Pract Exp 47(10):1325\u20131341","journal-title":"Softw Pract Exp"},{"key":"4325_CR100","first-page":"21","volume":"52","author":"H Alsattar","year":"2019","unstructured":"Alsattar H et al. (2019) Novel meta-heuristic bald eagle search optimisation algorithm. Artif Intell Rev 52:21","journal-title":"Artif Intell Rev"},{"issue":"6","key":"4325_CR101","doi-asserted-by":"crossref","first-page":"1823","DOI":"10.1007\/s00521-017-3159-5","volume":"31","author":"AA Zaidan","year":"2019","unstructured":"Zaidan AA et al (2019) A new hybrid algorithm of simulated annealing and simplex downhill for solving multiple-objective aggregate production planning on fuzzy environment. Neural Comput Appl 31(6):1823\u20131834","journal-title":"Neural Comput Appl"},{"issue":"2","key":"4325_CR102","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1007\/s00521-017-3018-4","volume":"31","author":"FO Sameer","year":"2019","unstructured":"Sameer FO et al (2019) A new algorithm of modified binary particle swarm optimization based on the Gustafson\u2013Kessel for credit risk assessment. Neural Comput Appl 31(2):337\u2013346","journal-title":"Neural Comput Appl"},{"issue":"1","key":"4325_CR103","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1186\/s40064-016-1828-y","volume":"5","author":"BN Abdullateef","year":"2016","unstructured":"Abdullateef BN et al (2016) An evaluation and selection problems of OSS-LMS packages. SpringerPlus 5(1):248","journal-title":"SpringerPlus"},{"key":"4325_CR104","volume-title":"Technical briefing: making multiple-objective decisions","author":"M Mansooreh","year":"1997","unstructured":"Mansooreh M, Pet-Edwards J (1997) Technical briefing: making multiple-objective decisions. Institute of Electrical and Electronics Engineers Inc., IEEE Computer Society Press, Los Alamitos"},{"key":"4325_CR105","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/978-1-4757-3157-6_2","volume-title":"Multi-criteria decision making methods, in Multi-criteria decision making methods: a comparative study","author":"E Triantaphyllou","year":"2000","unstructured":"Triantaphyllou E (2000) Multi-criteria decision making methods, in Multi-criteria decision making methods: a comparative study. Springer, Berlin, pp 5\u201321"},{"issue":"15","key":"4325_CR106","first-page":"175","volume":"1998","author":"E Triantaphyllou","year":"1998","unstructured":"Triantaphyllou E et al (1998) Multi-criteria decision making: an operations research approach. Encycl Electr Electron Eng 1998(15):175\u2013186","journal-title":"Encycl Electr Electron Eng"},{"key":"4325_CR107","doi-asserted-by":"publisher","DOI":"10.1007\/s11235-017-0401-5","author":"F Jumaah","year":"2018","unstructured":"Jumaah F et al (2018) Technique for order performance by similarity to ideal solution for solving complex situations in multi-criteria optimization of the tracking channels of GPS baseband telecommunication receivers. Telecommun Syst. https:\/\/doi.org\/10.1007\/s11235-017-0401-5","journal-title":"Telecommun Syst"},{"issue":"2","key":"4325_CR108","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.cmpb.2014.07.002","volume":"117","author":"MLM Kiah","year":"2014","unstructured":"Kiah MLM et al (2014) Open source EMR software: profiling, insights and hands-on analysis. Comput Methods Progr Biomed 117(2):360\u2013382","journal-title":"Comput Methods Progr Biomed"},{"key":"4325_CR109","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.measurement.2017.07.024","volume":"111","author":"M Qader","year":"2017","unstructured":"Qader M et al (2017) A methodology for football players selection problem based on multi-measurements criteria analysis. Measurement 111:38\u201350","journal-title":"Measurement"},{"issue":"05","key":"4325_CR110","doi-asserted-by":"crossref","first-page":"1211","DOI":"10.1142\/S0219622017500225","volume":"16","author":"OH Salman","year":"2017","unstructured":"Salman OH et al (2017) Novel methodology for triage and prioritizing using \u201cbig data\u201d patients with chronic heart diseases through telemedicine environmental. Int J Inf Technol Decis Mak 16(05):1211\u20131245","journal-title":"Int J Inf Technol Decis Mak"},{"key":"4325_CR111","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622017500183","author":"B Zaidan","year":"2017","unstructured":"Zaidan B et al (2017) A new approach based on multi-dimensional evaluation and benchmarking for data hiding techniques. Int J Inf Technol Decis Mak. https:\/\/doi.org\/10.1142\/S0219622017500183","journal-title":"Int J Inf Technol Decis Mak"},{"issue":"10","key":"4325_CR112","doi-asserted-by":"crossref","first-page":"1365","DOI":"10.1002\/spe.2465","volume":"47","author":"B Zaidan","year":"2017","unstructured":"Zaidan B et al (2017) A new digital watermarking evaluation and benchmarking methodology using an external group of evaluators and multi-criteria analysis based on \u2018large-scale data\u2019. Softw Pract Exp 47(10):1365\u20131392","journal-title":"Softw Pract Exp"},{"issue":"07","key":"4325_CR113","doi-asserted-by":"crossref","first-page":"1750116","DOI":"10.1142\/S021812661750116X","volume":"26","author":"B Zaidan","year":"2017","unstructured":"Zaidan B, Zaidan A (2017) Software and hardware FPGA-based digital watermarking and steganography approaches: toward new methodology for evaluation and benchmarking using multi-criteria decision-making techniques. J Circuits Syst Comput 26(07):1750116","journal-title":"J Circuits Syst Comput"},{"key":"4325_CR114","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.measurement.2017.12.019","volume":"117","author":"B Zaidan","year":"2018","unstructured":"Zaidan B, Zaidan A (2018) Comparative study on the evaluation and benchmarking information hiding approaches based multi-measurement analysis using TOPSIS method with different normalisation, separation and context techniques. Measurement 117:277\u2013294","journal-title":"Measurement"},{"key":"4325_CR115","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.measurement.2018.01.011","volume":"118","author":"F Jumaah","year":"2018","unstructured":"Jumaah F et al (2018) Decision-making solution based multi-measurement design parameter for optimization of GPS receiver tracking channels in static and dynamic real-time positioning multipath environment. Measurement 118:83\u201395","journal-title":"Measurement"},{"issue":"7\u20138","key":"4325_CR116","doi-asserted-by":"crossref","first-page":"801","DOI":"10.1016\/j.mcm.2006.03.023","volume":"45","author":"H-S Shih","year":"2007","unstructured":"Shih H-S, Shyur H-J, Lee ES (2007) An extension of TOPSIS for group decision making. Math Comput Model 45(7\u20138):801\u2013813","journal-title":"Math Comput Model"},{"issue":"3\u20134","key":"4325_CR117","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/S0895-7177(03)90083-5","volume":"38","author":"TL Saaty","year":"2003","unstructured":"Saaty TL, Ozdemir MS (2003) Why the magic number seven plus or minus two. Math Comput Model 38(3\u20134):233\u2013244","journal-title":"Math Comput Model"},{"key":"4325_CR118","unstructured":"Lesmes D, Castillo M, Zarama R (2009) Application of the analytic network process (ANP) to establish weights in order to re-accredit a program of a university. In: Proceedings of the international symposium on the analytic hierarchy process"},{"issue":"1","key":"4325_CR119","first-page":"83","volume":"1","author":"TL Saaty","year":"2008","unstructured":"Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1(1):83\u201398","journal-title":"Int J Serv Sci"},{"key":"4325_CR120","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/459375","author":"M Whaiduzzaman","year":"2014","unstructured":"Whaiduzzaman M et al (2014) Cloud service selection using multicriteria decision analysis. Sci World J. https:\/\/doi.org\/10.1155\/2014\/459375","journal-title":"Sci World J"},{"key":"4325_CR121","doi-asserted-by":"crossref","first-page":"742","DOI":"10.1016\/j.matdes.2013.03.059","volume":"50","author":"H \u00c7al\u0131\u015fkan","year":"2013","unstructured":"\u00c7al\u0131\u015fkan H (2013) Selection of boron based tribological hard coatings using multi-criteria decision making methods. Mater Des 50:742\u2013749","journal-title":"Mater Des"},{"key":"4325_CR122","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.knosys.2014.02.010","volume":"70","author":"B Oztaysi","year":"2014","unstructured":"Oztaysi B (2014) A decision model for information technology selection using AHP integrated TOPSIS-Grey: the case of content management systems. Knowl Based Syst 70:44\u201354","journal-title":"Knowl Based Syst"},{"issue":"9","key":"4325_CR123","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1007\/s10916-018-1006-6","volume":"42","author":"O Albahri","year":"2018","unstructured":"Albahri O et al (2018) Real-time remote health-monitoring systems in a medical centre: a review of the provision of healthcare services-based body sensor information, open challenges and methodological aspects. J Med Syst 42(9):164","journal-title":"J Med Syst"},{"issue":"8","key":"4325_CR124","doi-asserted-by":"crossref","first-page":"2433","DOI":"10.1080\/00207543.2012.741330","volume":"51","author":"A Samvedi","year":"2013","unstructured":"Samvedi A, Jain V, Chan FT (2013) Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS. Int J Prod Res 51(8):2433\u20132442","journal-title":"Int J Prod Res"},{"issue":"5","key":"4325_CR125","doi-asserted-by":"crossref","first-page":"100","DOI":"10.3390\/f7050100","volume":"7","author":"H Nilsson","year":"2016","unstructured":"Nilsson H, Nordstr\u00f6m E-M, \u00d6hman K (2016) Decision support for participatory forest planning using AHP and TOPSIS. Forests 7(5):100","journal-title":"Forests"},{"issue":"4","key":"4325_CR126","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s10916-018-0916-7","volume":"42","author":"N Kalid","year":"2018","unstructured":"Kalid N et al (2018) Based on real time remote health monitoring systems: a new approach for prioritization \u201clarge scales data\u201d patients with chronic heart diseases using body sensors and communication technology. J Med Syst 42(4):69","journal-title":"J Med Syst"},{"issue":"02","key":"4325_CR127","doi-asserted-by":"crossref","first-page":"1550023","DOI":"10.1142\/S0218126615500231","volume":"24","author":"A Zaidan","year":"2015","unstructured":"Zaidan A et al (2015) Robust pornography classification solving the image size variation problem based on multi-agent learning. J Circuits Syst Comput 24(02):1550023","journal-title":"J Circuits Syst Comput"},{"key":"4325_CR128","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1016\/j.enconman.2016.03.048","volume":"117","author":"O Taylan","year":"2016","unstructured":"Taylan O, Kaya D, Demirbas A (2016) An integrated multi attribute decision model for energy efficiency processes in petrochemical industry applying fuzzy set theory. Energy Convers Manag 117:501\u2013512","journal-title":"Energy Convers Manag"},{"issue":"04","key":"4325_CR129","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1142\/S021962201640006X","volume":"15","author":"MAO Barrios","year":"2016","unstructured":"Barrios MAO et al (2016) An AHP-topsis integrated model for selecting the most appropriate tomography equipment. Int J Inf Technol Decis Mak 15(04):861\u2013885","journal-title":"Int J Inf Technol Decis Mak"},{"key":"4325_CR130","doi-asserted-by":"crossref","first-page":"37269","DOI":"10.1109\/ACCESS.2019.2898214","volume":"7","author":"O Albahri","year":"2019","unstructured":"Albahri O et al (2019) Based multiple heterogeneous wearable sensors: a smart real-time health-monitoring structured for hospitals distributor. IEEE Access 7:37269\u201337323","journal-title":"IEEE Access"},{"issue":"8","key":"4325_CR131","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s10916-018-0983-9","volume":"42","author":"A Albahri","year":"2018","unstructured":"Albahri A et al (2018) Real-time fault-tolerant mhealth system: comprehensive review of healthcare services, opens issues, challenges and methodological aspects. J Med Syst 42(8):137","journal-title":"J Med Syst"},{"issue":"1","key":"4325_CR132","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/0377-2217(90)90057-I","volume":"48","author":"TL Saaty","year":"1990","unstructured":"Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48(1):9\u201326","journal-title":"Eur J Oper Res"},{"issue":"3","key":"4325_CR133","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/0022-2496(77)90033-5","volume":"15","author":"TL Saaty","year":"1977","unstructured":"Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15(3):234\u2013281","journal-title":"J Math Psychol"},{"issue":"2","key":"4325_CR134","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/0022-2496(84)90027-0","volume":"28","author":"TL Saaty","year":"1984","unstructured":"Saaty TL, Vargas LG (1984) Inconsistency and rank preservation. J Math Psychol 28(2):205\u2013214","journal-title":"J Math Psychol"},{"key":"4325_CR135","unstructured":"Al-Azab FGM, Ayu MA (2010) Web based multi criteria decision making using AHP method. In: Proceeding of the 3rd international conference on information and communication technology for the Moslem world (ICT4M) 2010. IEEE"},{"key":"4325_CR136","doi-asserted-by":"crossref","unstructured":"Rahmatullah B et al (2017) Multi-complex attributes analysis for optimum GPS baseband receiver tracking channels selection. In: 2017 4th international conference on control, decision and information technologies (CoDIT). IEEE","DOI":"10.1109\/CoDIT.2017.8102743"},{"key":"4325_CR137","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.cor.2018.12.019","volume":"104","author":"MM Salih","year":"2018","unstructured":"Salih MM et al (2018) Survey on fuzzy TOPSIS state-of-the-art between 2007\u20132017. Comput Oper Res 104:207\u2013227","journal-title":"Comput Oper Res"},{"issue":"11","key":"4325_CR138","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1007\/s10916-018-1064-9","volume":"42","author":"M Alsalem","year":"2018","unstructured":"Alsalem M et al (2018) Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges, issues and methodological aspects. J Med Syst 42(11):204","journal-title":"J Med Syst"},{"issue":"2","key":"4325_CR139","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1007\/s10916-017-0883-4","volume":"42","author":"N Kalid","year":"2018","unstructured":"Kalid N et al (2018) Based real time remote health monitoring systems: a review on patients prioritization and related\u201d big data\u201d using body sensors information and communication technology. J Med Syst 42(2):30","journal-title":"J Med Syst"},{"issue":"1","key":"4325_CR140","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0165-0114(97)00377-1","volume":"114","author":"C-T Chen","year":"2000","unstructured":"Chen C-T (2000) Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst 114(1):1\u20139","journal-title":"Fuzzy Sets Syst"},{"issue":"2","key":"4325_CR141","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1016\/j.ejor.2013.02.043","volume":"229","author":"Y-S Huang","year":"2013","unstructured":"Huang Y-S et al (2013) Aggregation of utility-based individual preferences for group decision-making. Eur J Oper Res 229(2):462\u2013469","journal-title":"Eur J Oper Res"},{"issue":"3","key":"4325_CR142","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1016\/j.ejor.2014.07.035","volume":"240","author":"M Xia","year":"2015","unstructured":"Xia M, Chen J (2015) Multi-criteria group decision making based on bilateral agreements. Eur J Oper Res 240(3):756\u2013764","journal-title":"Eur J Oper Res"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04325-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-019-04325-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04325-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,20]],"date-time":"2024-07-20T15:00:12Z","timestamp":1721487612000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-019-04325-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,2]]},"references-count":142,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["4325"],"URL":"https:\/\/doi.org\/10.1007\/s00521-019-04325-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,2]]},"assertion":[{"value":"1 June 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 June 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 July 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}