{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T06:39:48Z","timestamp":1772692788074,"version":"3.50.1"},"reference-count":100,"publisher":"Springer Science and Business Media LLC","issue":"17","license":[{"start":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:00:00Z","timestamp":1699488000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:00:00Z","timestamp":1699488000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-17490-4","type":"journal-article","created":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T08:24:22Z","timestamp":1699518262000},"page":"51159-51209","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Recent advancement of intelligent-systems in edible birds nest: A review from production to processing"],"prefix":"10.1007","volume":"83","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0378-7390","authenticated-orcid":false,"given":"Kam Meng","family":"Goh","sequence":"first","affiliation":[]},{"given":"Li Li","family":"Lim","sequence":"additional","affiliation":[]},{"given":"Santhi","family":"Krishnamoorthy","sequence":"additional","affiliation":[]},{"given":"Weng Kin","family":"Lai","sequence":"additional","affiliation":[]},{"given":"Tomas","family":"Maul","sequence":"additional","affiliation":[]},{"given":"Jun Kit","family":"Chaw","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,11,9]]},"reference":[{"key":"17490_CR1","first-page":"389","volume":"16","author":"MK Norhayati","year":"2010","unstructured":"Norhayati MK, Azman O, Wan Nazaimoon WM (2010) Preliminary study of the nutritional content of Malaysian edible bird\u2019s nest. Malays J Nutr 16:389\u2013396","journal-title":"Malays J Nutr"},{"issue":"7","key":"17490_CR2","doi-asserted-by":"publisher","first-page":"1574","DOI":"10.3390\/foods10071574","volume":"10","author":"RM Ibrahim","year":"2021","unstructured":"Ibrahim RM, Nasir NNM, Bakar MZA et al (2021) The authentication and grading of edible bird\u2019s nest by metabolite, nutritional, and mineral profiling. Foods 10(7):1574. https:\/\/doi.org\/10.3390\/foods10071574","journal-title":"Foods"},{"key":"17490_CR3","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.antiviral.2006.02.005","volume":"70","author":"CT Guo","year":"2006","unstructured":"Guo CT, Takahashi T, Bukawa W et al (2006) Edible bird\u2019s nest extract inhibits influenza virus infection. Antiviral Res 70:140\u2013146. https:\/\/doi.org\/10.1016\/j.antiviral.2006.02.005","journal-title":"Antiviral Res"},{"key":"17490_CR4","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.foodres.2017.07.036","volume":"100","author":"TH Lee","year":"2017","unstructured":"Lee TH, Wani WA, Koay YS et al (2017) Recent advances in the identification and authentication methods of edible bird\u2019s nest. Food Res Int 100:14\u201327. https:\/\/doi.org\/10.1016\/j.foodres.2017.07.036","journal-title":"Food Res Int"},{"key":"17490_CR5","first-page":"32","volume":"2","author":"Q Hao","year":"2016","unstructured":"Hao Q, Rahman A (2016) Swiftlets and edible bird\u2019s nest industry in Asia. Pertanika J Sch Res Rev 2:32\u201348","journal-title":"Pertanika J Sch Res Rev"},{"key":"17490_CR6","doi-asserted-by":"publisher","first-page":"97","DOI":"10.3828\/idpr.26.1.6","volume":"26","author":"D Jordan","year":"2004","unstructured":"Jordan D (2004) Globalisation and bird\u2019s nest soup. Int Dev Plan Rev 26:97\u2013110. https:\/\/doi.org\/10.3828\/idpr.26.1.6","journal-title":"Int Dev Plan Rev"},{"key":"17490_CR7","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.compag.2013.04.015","volume":"96","author":"CH Jong","year":"2013","unstructured":"Jong CH, Tay KM, Lim CP (2013) Application of the fuzzy Failure Mode and Effect Analysis methodology to edible bird nest processing. Comput Electron Agric 96:90\u2013108. https:\/\/doi.org\/10.1016\/j.compag.2013.04.015","journal-title":"Comput Electron Agric"},{"key":"17490_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00138-020-01124-y","volume":"31","author":"CK Yee","year":"2020","unstructured":"Yee CK, Yeo YH, Cheng LH, Yen KS (2020) Impurities detection in edible bird\u2019s nest using optical segmentation and image fusion. Mach Vis Appl 31:1\u20138. https:\/\/doi.org\/10.1007\/s00138-020-01124-y","journal-title":"Mach Vis Appl"},{"key":"17490_CR9","doi-asserted-by":"publisher","first-page":"1072","DOI":"10.1016\/j.procs.2017.08.123","volume":"112","author":"GK Meng","year":"2017","unstructured":"Meng GK, Kin LW, Han TP et al (2017) Size characterisation of edible bird nest impurities: a preliminary study. Procedia Comput Sci 112:1072\u20131081. https:\/\/doi.org\/10.1016\/j.procs.2017.08.123","journal-title":"Procedia Comput Sci"},{"key":"17490_CR10","doi-asserted-by":"publisher","first-page":"38","DOI":"10.37265\/japiv.v10i1.21","volume":"10","author":"TK Hong","year":"2020","unstructured":"Hong TK, Chia Fah C, Ong Han AK (2020) Approach to improve edible bird nest quality & establishing better bird nest cleaning process facility through best value approach. J Adv Perform Inf Value 10:38\u201350. https:\/\/doi.org\/10.37265\/japiv.v10i1.21","journal-title":"J Adv Perform Inf Value"},{"key":"17490_CR11","doi-asserted-by":"publisher","first-page":"109875","DOI":"10.1016\/j.foodres.2020.109875","volume":"140","author":"Y Dai","year":"2021","unstructured":"Dai Y, Cao J, Wang Y et al (2021) A comprehensive review of edible bird\u2019s nest. Food Res Int 140:109875. https:\/\/doi.org\/10.1016\/j.foodres.2020.109875","journal-title":"Food Res Int"},{"key":"17490_CR12","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1016\/S2095-4964(16)60282-0","volume":"14","author":"LS Chua","year":"2016","unstructured":"Chua LS, Zukefli SN (2016) A comprehensive review of edible bird nests and swiftlet farming. J Integr Med 14:415\u2013428. https:\/\/doi.org\/10.1016\/S2095-4964(16)60282-0","journal-title":"J Integr Med"},{"key":"17490_CR13","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1145\/3232059.3232075","volume":"2018","author":"MY Koay","year":"2018","unstructured":"Koay MY, Loh SXC, Goh KM, Lai WK (2018) Feature selection for automated grading of edible birds nest with ANFIS. In Proc - 10th Int Conf Bioinfo and Biomed Tech 2018:25\u201332. https:\/\/doi.org\/10.1145\/3232059.3232075","journal-title":"In Proc - 10th Int Conf Bioinfo and Biomed Tech"},{"key":"17490_CR14","doi-asserted-by":"publisher","first-page":"1680","DOI":"10.1080\/10942912.2018.1503303","volume":"21","author":"MC Quek","year":"2018","unstructured":"Quek MC, Chin NL, Yusof YA et al (2018) Pattern recognition analysis on nutritional profile and chemical composition of edible bird\u2019s nest for its origin and authentication. Int J Food Prop 21:1680\u20131696. https:\/\/doi.org\/10.1080\/10942912.2018.1503303","journal-title":"Int J Food Prop"},{"key":"17490_CR15","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.foodcont.2019.04.042","volume":"104","author":"NH Jamalluddin","year":"2019","unstructured":"Jamalluddin NH, Tukiran NA, Ahmad Fadzillah N, Fathi S (2019) Overview of edible bird\u2019s nests and their contemporary issues. Food Control 104:247\u2013255. https:\/\/doi.org\/10.1016\/j.foodcont.2019.04.042","journal-title":"Food Control"},{"key":"17490_CR16","doi-asserted-by":"publisher","unstructured":"Ismail M, Alsalahi A, Aljaberi MA et al (2021) Efficacy of edible bird\u2019s nest on cognitive functions in experimental animal models: a systematic review. Nutrients 13. https:\/\/doi.org\/10.3390\/nu13031028","DOI":"10.3390\/nu13031028"},{"key":"17490_CR17","doi-asserted-by":"publisher","unstructured":"Lee TH, Wani WA, Lee CH et al (2021) Edible bird\u2019s nest: the functional values of the prized animal-based bioproduct from southeast asia\u2013a review. Front Pharmacol 12. https:\/\/doi.org\/10.3389\/fphar.2021.626233","DOI":"10.3389\/fphar.2021.626233"},{"key":"17490_CR18","doi-asserted-by":"publisher","unstructured":"Yeo B-H, Tang T-K, Wong S-F et al (2021) Potential residual contaminants in edible bird\u2019s nest. Front Pharmacol 12. https:\/\/doi.org\/10.3389\/fphar.2021.631136","DOI":"10.3389\/fphar.2021.631136"},{"key":"17490_CR19","doi-asserted-by":"publisher","first-page":"746656","DOI":"10.3389\/fphar.2021.746656","volume":"12","author":"KC Chok","year":"2021","unstructured":"Chok KC, Ng MG, Ng KY et al (2021) Edible bird\u2019s nest: recent updates and industry insights based on laboratory findings. Front Pharmacol 12:746656. https:\/\/doi.org\/10.3389\/fphar.2021.746656","journal-title":"Front Pharmacol"},{"key":"17490_CR20","first-page":"309","volume-title":"SINHA NK, GUPTA MM","author":"D Popovic","year":"2000","unstructured":"Popovic D (2000) CHAPTER 13 - Expert Systems in Process Diagnosis and Control. In: Computing S, Systems I (eds) SINHA NK, GUPTA MM. Academic Press, San Diego, pp 309\u2013335"},{"key":"17490_CR21","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1016\/B0-12-227240-4\/00143-X","volume-title":"Encyclopedia of Information Systems","author":"MS Doucet","year":"2003","unstructured":"Doucet MS, Doucet TA (2003) Public Accounting Firms. In: Bidgoli H (ed) Encyclopedia of Information Systems. Elsevier, New York, pp 601\u2013606"},{"key":"17490_CR22","first-page":"325","volume":"2012","author":"FSA Saad","year":"2012","unstructured":"Saad FSA, Shakaff AYM, Zakaria A et al (2012) Edible bird nest shape quality assessment using machine vision system. In Proc - 3rd Int Conf Intell Syst Model Simul, ISMS 2012:325\u2013329","journal-title":"In Proc - 3rd Int Conf Intell Syst Model Simul, ISMS"},{"key":"17490_CR23","doi-asserted-by":"publisher","first-page":"17","DOI":"10.11113\/jt.v76.5859","volume":"76","author":"FSA Saad","year":"2015","unstructured":"Saad FSA, Ibrahim MF, Shakaff AYM, Zakaria A (2015) Edible bird nest shape inspection using fourier descriptor (FD) and farthest fourier point signature (FFPS) method. J Teknol 76:17\u201324. https:\/\/doi.org\/10.11113\/jt.v76.5859","journal-title":"J Teknol"},{"key":"17490_CR24","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1109\/CyberneticsCom55287.2022.9865498","volume":"2022","author":"A Septiarini","year":"2022","unstructured":"Septiarini A, Maulana F, Hamdani H et al (2022) Classifying the swallow nest quality using support vector machine based on computer vision. In Proc -IEEE Int Conf on Cybernetics and Computational Intelligence, CyberneticsCom 2022:474\u2013478. https:\/\/doi.org\/10.1109\/CyberneticsCom55287.2022.9865498","journal-title":"In Proc -IEEE Int Conf on Cybernetics and Computational Intelligence, CyberneticsCom"},{"key":"17490_CR25","doi-asserted-by":"publisher","unstructured":"Gan JE, Lai WK (2019) Automated grading of edible birds nest using hybrid bat algorithm clustering based on K-Means. In Proc - IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2019:73\u201378. https:\/\/doi.org\/10.1109\/I2CACIS.2019.8825077","DOI":"10.1109\/I2CACIS.2019.8825077"},{"key":"17490_CR26","first-page":"472","volume-title":"Advances in Intelligent Systems and Computing","author":"WK Lai","year":"2020","unstructured":"Lai WK, Gan JE, Koh PM (2020) Artificial Honey Bee Swarm Intelligence for the Autograding of EBN. In: Liu Y, Wang L, Zhao L, Yu Z (eds) Advances in Intelligent Systems and Computing. Springer International Publishing, Cham, pp 472\u2013480"},{"key":"17490_CR27","doi-asserted-by":"publisher","unstructured":"Lee WW, Lai WK (2021) A novel flower pollination algorithm for auto-grading of edible birds nest. In Proc -  IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2021:140\u2013145. https:\/\/doi.org\/10.1109\/I2CACIS52118.2021.9495911","DOI":"10.1109\/I2CACIS52118.2021.9495911"},{"key":"17490_CR28","doi-asserted-by":"publisher","unstructured":"Lai WK, Maul T, Liao IY, Goh KM (2021) Artificial Intelligence and Computer Vision \u2013 a Match Made in Heaven? J Inst Eng Malaysia 82. https:\/\/doi.org\/10.54552\/v82i1.73","DOI":"10.54552\/v82i1.73"},{"key":"17490_CR29","doi-asserted-by":"publisher","unstructured":"Indrajaya D, Setiawan A, Hartanto D, Hariyanto H (2022) Object Detection to Identify Shapes of Swallow Nests Using a Deep Learning Algorithm. Khazanah Inform J Ilmu Komput dan Inform 8(2). https:\/\/doi.org\/10.23917\/khif.v8i2.16489","DOI":"10.23917\/khif.v8i2.16489"},{"key":"17490_CR30","doi-asserted-by":"publisher","first-page":"85","DOI":"10.11113\/jt.v72.3889","volume":"72","author":"Y Subramaniama","year":"2015","unstructured":"Subramaniama Y, Faib YC, Ming ESL (2015) Edible bird nest processing using machine vision and robotic arm. J Teknol 72:85\u201388. https:\/\/doi.org\/10.11113\/jt.v72.3889","journal-title":"J Teknol"},{"key":"17490_CR31","doi-asserted-by":"publisher","first-page":"135","DOI":"10.46604\/IJETI.2021.6891","volume":"11","author":"YH Yeo","year":"2021","unstructured":"Yeo YH, Yen KS (2021) Impurities Detection in Intensity Inhomogeneous Edible Bird\u2019s Nest (EBN) Using a U-Net Deep Learning Model. Int J Eng Technol Innov 11:135\u2013145. https:\/\/doi.org\/10.46604\/IJETI.2021.6891","journal-title":"Int J Eng Technol Innov"},{"key":"17490_CR32","first-page":"16591","volume-title":"IEEE Access","author":"W Weng","year":"2021","unstructured":"Weng W, Zhu X (2021) INet: Convolutional Networks for Biomedical Image Segmentation. In: Navab N, Hornegger J, Wells WM, Frangi AF (eds) IEEE Access. Springer International Publishing, Cham, pp 16591\u201316603"},{"key":"17490_CR33","doi-asserted-by":"publisher","first-page":"51603","DOI":"10.1117\/1.JEI.31.5.051603","volume":"31","author":"YH Yeo","year":"2022","unstructured":"Yeo YH, Yen KS (2022) Development of a hybrid autoencoder model for automated edible bird\u2019s nest impurities inspection. J Electron Imaging 31:51603. https:\/\/doi.org\/10.1117\/1.JEI.31.5.051603","journal-title":"J Electron Imaging"},{"key":"17490_CR34","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1111\/j.1469-7998.1962.tb05700.x","volume":"138","author":"L Medway","year":"1962","unstructured":"Medway L (1962) The relation between the reproductive cycle, moult and changes in the sublingual salivary glands of the swiftlet collocalia maxima kijme. Proc Zool Soc London 138:305\u2013315. https:\/\/doi.org\/10.1111\/j.1469-7998.1962.tb05700.x","journal-title":"Proc Zool Soc London"},{"key":"17490_CR35","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1016\/j.foodres.2012.06.001","volume":"48","author":"F Ma","year":"2012","unstructured":"Ma F, Liu D (2012) Sketch of the edible bird\u2019s nest and its important bioactivities. Food Res Int 48:559\u2013567. https:\/\/doi.org\/10.1016\/j.foodres.2012.06.001","journal-title":"Food Res Int"},{"key":"17490_CR36","doi-asserted-by":"publisher","first-page":"677","DOI":"10.47836\/pjst.29.1.36","volume":"29","author":"NA Azmi","year":"2021","unstructured":"Azmi NA, Lee TH, Lee CH et al (2021) Differentiation unclean and cleaned edible bird\u2019s nest using multivariate analysis of amino acid composition data. Pertanika J Sci Technol 29:677\u2013691. https:\/\/doi.org\/10.47836\/pjst.29.1.36","journal-title":"Pertanika J Sci Technol"},{"key":"17490_CR37","doi-asserted-by":"publisher","first-page":"3057","DOI":"10.1002\/jsfa.8805","volume":"98","author":"L Guo","year":"2018","unstructured":"Guo L, Wu Y, Liu M et al (2018) Rapid authentication of edible bird\u2019s nest by FTIR spectroscopy combined with chemometrics. J Sci Food Agric 98:3057\u20133065. https:\/\/doi.org\/10.1002\/jsfa.8805","journal-title":"J Sci Food Agric"},{"key":"17490_CR38","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/j.foodcont.2014.04.006","volume":"44","author":"L Guo","year":"2014","unstructured":"Guo L, Wu Y, Liu M et al (2014) Authentication of Edible Bird\u2019s nests by TaqMan-based real-time PCR. Food Control 44:220\u2013226. https:\/\/doi.org\/10.1016\/j.foodcont.2014.04.006","journal-title":"Food Control"},{"key":"17490_CR39","doi-asserted-by":"publisher","unstructured":"Noor AS, Tukiran NA, M. A. NA et al (2020) Detection of edible bird\u2019s nest using Fourier Transform Infrared Spectroscopy (FTIR) combined with Principle Component Analysis (PCA). J Halal Ind Serv 3. https:\/\/doi.org\/10.36877\/jhis.a0000168","DOI":"10.36877\/jhis.a0000168"},{"key":"17490_CR40","doi-asserted-by":"publisher","first-page":"3602","DOI":"10.1007\/s13197-016-2344-3","volume":"53","author":"EKS Shim","year":"2016","unstructured":"Shim EKS, Chandra GF, Pedireddy S, Lee SY (2016) Characterization of swiftlet edible bird nest, a mucin glycoprotein, and its adulterants by Raman microspectroscopy. J Food Sci Technol 53:3602\u20133608. https:\/\/doi.org\/10.1007\/s13197-016-2344-3","journal-title":"J Food Sci Technol"},{"key":"17490_CR41","doi-asserted-by":"publisher","first-page":"1297","DOI":"10.1039\/c6ay03352k","volume":"9","author":"J Shi","year":"2017","unstructured":"Shi J, Zhang F, Li Z et al (2017) Rapid authentication of Indonesian edible bird\u2019s nests by near-infrared spectroscopy and chemometrics. Anal Methods 9:1297\u20131306. https:\/\/doi.org\/10.1039\/c6ay03352k","journal-title":"Anal Methods"},{"key":"17490_CR42","doi-asserted-by":"publisher","first-page":"100197","DOI":"10.1016\/j.forc.2019.100197","volume":"17","author":"MNH Adenan","year":"2020","unstructured":"Adenan MNH, Moosa S, Muhammad SA et al (2020) Screening Malaysian edible bird\u2019s nests for structural adulterants and geographical origin using Mid-Infrared \u2013 Attenuated Total Reflectance (MIR-ATR) spectroscopy combined with chemometric analysis by Data-Driven \u2013 Soft Independent Modelling of Class Ana. Forensic Chem 17:100197. https:\/\/doi.org\/10.1016\/j.forc.2019.100197","journal-title":"Forensic Chem"},{"key":"17490_CR43","doi-asserted-by":"publisher","first-page":"876","DOI":"10.1016\/j.jfda.2019.06.004","volume":"27","author":"X Huang","year":"2019","unstructured":"Huang X, Li Z, Zou X et al (2019) A low cost smart system to analyze different types of edible Bird\u2019s nest adulteration based on colorimetric sensor array. J Food Drug Anal 27:876\u2013886. https:\/\/doi.org\/10.1016\/j.jfda.2019.06.004","journal-title":"J Food Drug Anal"},{"key":"17490_CR44","doi-asserted-by":"publisher","first-page":"108542","DOI":"10.1016\/j.foodcont.2021.108542","volume":"132","author":"CH Yong","year":"2022","unstructured":"Yong CH, Muhammad SA, Aziz FA et al (2022) Detection of adulteration activities in edible bird\u2019s nest using untargeted 1H-NMR metabolomics with chemometrics. Food Control 132:108542. https:\/\/doi.org\/10.1016\/j.foodcont.2021.108542","journal-title":"Food Control"},{"key":"17490_CR45","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1021\/jf503157n","volume":"63","author":"YG Chua","year":"2015","unstructured":"Chua YG, Chan SH, Bloodworth BC et al (2015) Identification of edible birds nest with amino acid and monosaccharide analysis. J Agric Food Chem 63:279\u2013289. https:\/\/doi.org\/10.1021\/jf503157n","journal-title":"J Agric Food Chem"},{"key":"17490_CR46","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.foodres.2017.02.018","volume":"95","author":"EKS Shim","year":"2017","unstructured":"Shim EKS, Chandra GF, Lee S-Y (2017) Thermal analysis methods for the rapid identification and authentication of swiftlet (Aerodramus fuciphagus) edible bird\u2019s nest - A mucin glycoprotein. Food Res Int 95:9\u201318. https:\/\/doi.org\/10.1016\/j.foodres.2017.02.018","journal-title":"Food Res Int"},{"key":"17490_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.inpa.2014.12.002","volume":"2","author":"MC Quek","year":"2015","unstructured":"Quek MC, Chin NL, Yusof YA et al (2015) Preliminary nitrite, nitrate and colour analysis of Malaysian edible bird\u2019s nest. Inf Process Agric 2:1\u20135. https:\/\/doi.org\/10.1016\/j.inpa.2014.12.002","journal-title":"Inf Process Agric"},{"key":"17490_CR48","doi-asserted-by":"publisher","first-page":"88","DOI":"10.2991\/aer.k.211106.015","volume":"2021","author":"R Hudaya","year":"2021","unstructured":"Hudaya R, Syamsi L, Sutian W et al (2021) Development of spectral sensors for nitrite content in edible bird\u2019s nest. In Proc - 2nd International Seminar of Science and Applied Technology, ISSAT 2021:88\u201392. https:\/\/doi.org\/10.2991\/aer.k.211106.015","journal-title":"In Proc - 2nd International Seminar of Science and Applied Technology, ISSAT"},{"key":"17490_CR49","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1016\/j.foodchem.2017.02.075","volume":"229","author":"J Shi","year":"2017","unstructured":"Shi J, Hu X, Zou X et al (2017) A rapid and nondestructive method to determine the distribution map of protein, carbohydrate and sialic acid on Edible bird\u2019s nest by hyper-spectral imaging and chemometrics. Food Chem 229:235\u2013241. https:\/\/doi.org\/10.1016\/j.foodchem.2017.02.075","journal-title":"Food Chem"},{"key":"17490_CR50","doi-asserted-by":"publisher","first-page":"109111","DOI":"10.1016\/j.foodcont.2022.109111","volume":"140","author":"M Zhang","year":"2022","unstructured":"Zhang M, Hu H, Zeng G et al (2022) Discrimination and quantification of adulterated edible bird\u2019s nest based on their improved cohesion stable isotope ratios. Food Control 140:109111. https:\/\/doi.org\/10.1016\/j.foodcont.2022.109111","journal-title":"Food Control"},{"key":"17490_CR51","doi-asserted-by":"crossref","unstructured":"Ng JS, Muhammad SA, Yong CH et al (2022) Adulteration Detection of Edible Bird's Nests Using Rapid Spectroscopic Techniques Coupled with Multi-Class Discriminant Analysis. Foods 11","DOI":"10.3390\/foods11162401"},{"key":"17490_CR52","doi-asserted-by":"publisher","first-page":"1330","DOI":"10.1080\/07373937.2015.1106552","volume":"34","author":"SH Gan","year":"2016","unstructured":"Gan SH, Ong SP, Chin NL, Law CL (2016) Color changes, nitrite content, and rehydration capacity of edible bird\u2019s nest by advanced drying method. Dry Technol 34:1330\u20131342. https:\/\/doi.org\/10.1080\/07373937.2015.1106552","journal-title":"Dry Technol"},{"key":"17490_CR53","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.1166\/mex.2020.1742","volume":"10","author":"X Ma","year":"2020","unstructured":"Ma X, Zhang J, Liang J, Chen Y (2020) Element analysis of house-and cave-ebn (Edible bird\u2019s nest) traceability by inductively coupled plasma-mass spectrometry (ICP-MS) integrated with chemo-metrics. Mater Express 10:1141\u20131148. https:\/\/doi.org\/10.1166\/mex.2020.1742","journal-title":"Mater Express"},{"key":"17490_CR54","volume-title":"Discrimination between Cave and House-Farmed Edible Bird\u2019s Nest Based on Major Mineral Profiles","author":"JBI Lalung","year":"2016","unstructured":"Lalung JBI, Seow EK et al (2016) Discrimination between Cave and House-Farmed Edible Bird\u2019s Nest Based on Major Mineral Profiles. Pertanika J. Trop. Agric, Sci"},{"key":"17490_CR55","doi-asserted-by":"publisher","first-page":"104399","DOI":"10.1016\/j.jfca.2022.104399","volume":"107","author":"TH Lee","year":"2022","unstructured":"Lee TH, Lee CH, Azmi NA et al (2022) Amino acid determination by HPLC combined with multivariate approach for geographical classification of Malaysian Edible Bird\u2019s Nest. J Food Compos Anal 107:104399. https:\/\/doi.org\/10.1016\/j.jfca.2022.104399","journal-title":"J Food Compos Anal"},{"key":"17490_CR56","doi-asserted-by":"publisher","first-page":"108921","DOI":"10.1016\/j.foodcont.2022.108921","volume":"137","author":"KM Ang","year":"2022","unstructured":"Ang KM, Seow EK, Fam PS, Cheng LH (2022) Classification of edible bird\u2019s nest samples using a logistic regression model through the mineral ratio approach. Food Control 137:108921. https:\/\/doi.org\/10.1016\/j.foodcont.2022.108921","journal-title":"Food Control"},{"key":"17490_CR57","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1093\/fqsafe\/fyx002","volume":"1","author":"CF Wong","year":"2017","unstructured":"Wong CF, Chan GKL, Zhang ML et al (2017) Characterization of edible bird\u2019s nest by peptide fingerprinting with principal component analysis. Food Qual Saf 1:83\u201392. https:\/\/doi.org\/10.1093\/fqsafe\/fyx002","journal-title":"Food Qual Saf"},{"key":"17490_CR58","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1016\/j.lwt.2015.08.047","volume":"65","author":"EK Seow","year":"2016","unstructured":"Seow EK, Ibrahim B, Muhammad SA et al (2016) Differentiation between house and cave edible bird\u2019s nests by chemometric analysis of amino acid composition data. Lwt 65:428\u2013435. https:\/\/doi.org\/10.1016\/j.lwt.2015.08.047","journal-title":"Lwt"},{"key":"17490_CR59","doi-asserted-by":"publisher","unstructured":"Tong SR, Lee TH, Cheong SK, Lim YM (2021) Geographical Factor Influences the Metabolite Distribution of House Edible Bird\u2019s Nests in Malaysia. Front Nutr 8. https:\/\/doi.org\/10.3389\/fnut.2021.658634","DOI":"10.3389\/fnut.2021.658634"},{"key":"17490_CR60","doi-asserted-by":"publisher","first-page":"1387","DOI":"10.1002\/rcm.6914","volume":"28","author":"YG Chua","year":"2014","unstructured":"Chua YG, Bloodworth BC, Leong LP, Li SFY (2014) Metabolite profiling of edible bird\u2019s nest using gas chromatography\/mass spectrometry and liquid chromatography\/mass spectrometry. Rapid Commun Mass Spectrom 28:1387\u20131400. https:\/\/doi.org\/10.1002\/rcm.6914","journal-title":"Rapid Commun Mass Spectrom"},{"key":"17490_CR61","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1007\/s11694-019-00251-z","volume":"14","author":"X Huang","year":"2020","unstructured":"Huang X, Li Z, Xiaobo Z et al (2020) Geographical origin discrimination of edible bird\u2019s nests using smart handheld device based on colorimetric sensor array. J Food Meas Charact 14:514\u2013526. https:\/\/doi.org\/10.1007\/s11694-019-00251-z","journal-title":"J Food Meas Charact"},{"key":"17490_CR62","doi-asserted-by":"publisher","first-page":"106885","DOI":"10.1016\/j.ress.2020.106885","volume":"199","author":"J Huang","year":"2020","unstructured":"Huang J, You JX, Liu HC, Song MS (2020) Failure mode and effect analysis improvement: A systematic literature review and future research agenda. Reliab Eng Syst Saf 199:106885. https:\/\/doi.org\/10.1016\/j.ress.2020.106885","journal-title":"Reliab Eng Syst Saf"},{"key":"17490_CR63","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/978-3-319-00930-8_15","volume":"223","author":"CH Jong","year":"2014","unstructured":"Jong CH, Tay KM, Lim CP (2014) A single input rule modules connected fuzzy FMEA methodology for edible bird nest processing. Advances in Intelligent Systems and Computing 223:165\u2013176. https:\/\/doi.org\/10.1007\/978-3-319-00930-8_15","journal-title":"Advances in Intelligent Systems and Computing"},{"key":"17490_CR64","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1007\/s00521-014-1647-4","volume":"26","author":"KM Tay","year":"2015","unstructured":"Tay KM, Jong CH, Lim CP (2015) A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry. Neural Comput Appl 26:551\u2013560. https:\/\/doi.org\/10.1007\/s00521-014-1647-4","journal-title":"Neural Comput Appl"},{"key":"17490_CR65","doi-asserted-by":"publisher","first-page":"7235","DOI":"10.1016\/j.eswa.2015.04.036","volume":"42","author":"WL Chang","year":"2015","unstructured":"Chang WL, Tay KM, Lim CP (2015) Clustering and visualization of failure modes using an evolving tree. Expert Syst Appl 42:7235\u20137244. https:\/\/doi.org\/10.1016\/j.eswa.2015.04.036","journal-title":"Expert Syst Appl"},{"key":"17490_CR66","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1016\/j.asoc.2016.08.043","volume":"49","author":"KC Chai","year":"2016","unstructured":"Chai KC, Jong CH, Tay KM, Lim CP (2016) A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming. Appl Soft Comput J 49:734\u2013747. https:\/\/doi.org\/10.1016\/j.asoc.2016.08.043","journal-title":"Appl Soft Comput J"},{"key":"17490_CR67","doi-asserted-by":"publisher","first-page":"12058","DOI":"10.1088\/1755-1315\/1083\/1\/012058","volume":"1083","author":"E Indra","year":"2022","unstructured":"Indra E, Angelin AS et al (2022) Implementation of Greedy Algorithm for Profit and Cost Analysis of Swallow\u2019s Nest Processing Dirty to Finished Products. IOP Conf Ser Earth Environ Sci 1083:12058. https:\/\/doi.org\/10.1088\/1755-1315\/1083\/1\/012058","journal-title":"IOP Conf Ser Earth Environ Sci"},{"key":"17490_CR68","doi-asserted-by":"publisher","unstructured":"Alpandi RM, Kamarudin F, Wanke P et al (2022) Energy efficiency in production of swiftlet edible bird\u2019s nest. Sustainability 14. https:\/\/doi.org\/10.3390\/su14105870","DOI":"10.3390\/su14105870"},{"key":"17490_CR69","doi-asserted-by":"publisher","unstructured":"Farazh F, Isamail MZ, Ramli M et al (2022) The Production Efficiency on Edible Birds\u2019 Nest: The Case Study in Gua Musang and Johor Bahru, Malaysia. Int J Acad Res Bus Soc Sci 12. https:\/\/doi.org\/10.6007\/IJARBSS\/v12-i1\/11643","DOI":"10.6007\/IJARBSS\/v12-i1\/11643"},{"key":"17490_CR70","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1080\/07373937.2016.1155053","volume":"35","author":"SH Gan","year":"2017","unstructured":"Gan SH, Ong SP, Chin NL, Law CL (2017) A comparative quality study and energy saving on intermittent heat pump drying of Malaysian edible bird\u2019s nest. Dry Technol 35:4\u201314. https:\/\/doi.org\/10.1080\/07373937.2016.1155053","journal-title":"Dry Technol"},{"key":"17490_CR71","doi-asserted-by":"publisher","first-page":"1960200","DOI":"10.1080\/20964129.2021.1960200","volume":"7","author":"Y Ito","year":"2021","unstructured":"Ito Y, Matsumoto K, Usup A, Yamamoto Y (2021) A sustainable way of agricultural livelihood: edible bird\u2019s nests in Indonesia. Ecosyst Heal Sustain 7:1960200. https:\/\/doi.org\/10.1080\/20964129.2021.1960200","journal-title":"Ecosyst Heal Sustain"},{"key":"17490_CR72","doi-asserted-by":"publisher","first-page":"2487","DOI":"10.1002\/asia.202000520","volume":"15","author":"EK-S Shim","year":"2020","unstructured":"Shim EK-S, Lee S-Y (2020) Calcite Deposits Differentiate Cave from House-Farmed Edible Bird\u2019s Nest as shown by SEM-EDX ATR-FTIR and Raman Microspectroscopy. Chem - An Asian J 15:2487\u20132492. https:\/\/doi.org\/10.1002\/asia.202000520","journal-title":"Chem - An Asian J"},{"key":"17490_CR73","doi-asserted-by":"publisher","first-page":"289","DOI":"10.5038\/1827-806X.45.3.1988","volume":"45","author":"MO Idrees","year":"2016","unstructured":"Idrees MO, Pradhan B (2016) Hybrid Taguchi-Objective Function optimization approach for automatic cave bird detection from terrestrial laser scanning intensity image. Int J Speleol 45:289. https:\/\/doi.org\/10.5038\/1827-806X.45.3.1988","journal-title":"Int J Speleol"},{"key":"17490_CR74","doi-asserted-by":"publisher","first-page":"191","DOI":"10.5038\/1827-806X.44.2.8","volume":"44","author":"D Mcfarlane","year":"2015","unstructured":"Mcfarlane D, Roberts W, Buchroithner M et al (2015) Terrestrial LiDAR-based automated counting of swiftlet nests in the caves of Gomantong, Sabah, Borneo. Int J Speleol 44:191\u2013195. https:\/\/doi.org\/10.5038\/1827-806X.44.2.8","journal-title":"Int J Speleol"},{"key":"17490_CR75","first-page":"127","volume":"13","author":"MA Rahman","year":"2018","unstructured":"Rahman MA, Ghazali PL, Chong JL (2018) Environmental parameters in successful edible bird nest swiftlet houses in Terengganu. J Sustain Sci Manag 13:127\u2013131","journal-title":"J Sustain Sci Manag"},{"key":"17490_CR76","unstructured":"Noverta R, Wahab NHA, Ahsan MA (2022) Hybrid system on temperature and humidity for shallow nest farm via mobile application in Internet of Things. In Proc -  9th International Graduate Conference on Engineering, Science, and Humanities, IGCESH 2022:93\u201397"},{"key":"17490_CR77","first-page":"331","volume":"30","author":"SM Mamduh","year":"2012","unstructured":"Mamduh SM, Shakaff AY, Saad SM et al (2012) Odour and hazardous gas monitoring system for swiftlet farming using wireless sensor network (WSN). Chem Eng Trans 30:331\u2013336","journal-title":"Chem Eng Trans"},{"key":"17490_CR78","first-page":"89","volume":"9","author":"MA Nematollahi","year":"2017","unstructured":"Nematollahi MA, Al-Haddad SAR, Ramli AR et al (2017) Frequency domain processing for artificial synthesis of swiftlet\u2019s sound Waves. J Telecommun Electron Comput Eng 9:89\u201393","journal-title":"J Telecommun Electron Comput Eng"},{"key":"17490_CR79","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1260\/1708-5284.12.4.407","volume":"12","author":"AS Mahfurdz","year":"2015","unstructured":"Mahfurdz AS (2015) Piezoelectric power harvesting from chirps and mating swiftlets attraction sound. World J Eng 12:407\u2013412. https:\/\/doi.org\/10.1260\/1708-5284.12.4.407","journal-title":"World J Eng"},{"key":"17490_CR80","first-page":"1","volume":"2011","author":"D Tristanto","year":"2011","unstructured":"Tristanto D, Uranus HP (2011) Microcontroller based environmental control for swiftlet nesting with SMS notification. Proc 2011 Int Conf Elect Eng Inform, ICEEI 2011:1\u20135","journal-title":"Proc 2011 Int Conf Elect Eng Inform, ICEEI"},{"issue":"2","key":"17490_CR81","first-page":"54","volume":"2799\u20131156","author":"B Usmanto","year":"2022","unstructured":"Usmanto B, Dewi NAK (2022) Prototype of Monitoring System and Automation Regulator Sound, Temperature, Humidity, Lighting, Window at the Swiftlet House (RBW Smart System) Based on Webserver. J Electron Comput Netw Appl Math ISSN 2799\u20131156(2):54\u201371","journal-title":"J Electron Comput Netw Appl Math ISSN"},{"key":"17490_CR82","doi-asserted-by":"crossref","unstructured":"Ibrahim AR, Ibrahim NHN, Harun AN et al (2018) Bird Counting and Climate Monitoring using LoRaWAN in Swiftlet Farming for IR4.0 Applications. In: 2018 2nd International Conference on Smart Sensors and Application, ICSSA 2018. 33\u201337","DOI":"10.1109\/ICSSA.2018.8535955"},{"key":"17490_CR83","first-page":"1","volume":"2018","author":"AR Ibrahim","year":"2018","unstructured":"Ibrahim AR, Nik Ibrahim NH, Harun AN et al (2018) Automated Monitoring and LoRaWAN Control Mechanism for Swiftlet Bird House. Int Conf Intel Adv Syst, ICIAS 2018:1\u20135","journal-title":"Int Conf Intel Adv Syst, ICIAS"},{"key":"17490_CR84","first-page":"396","volume":"2","author":"G Barry","year":"2021","unstructured":"Barry G, Bakar L (2021) Swiftlet House Cooling System Powered by Solar Panel. Prog Eng Appl Technol 2:396\u2013404","journal-title":"Prog Eng Appl Technol"},{"key":"17490_CR85","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1080\/10454446.2014.946169","volume":"20","author":"J Sharifuddin","year":"2014","unstructured":"Sharifuddin J, Ramalingam L, Mohamed Z, Rezai G (2014) Factors Affecting Intention to Purchase Edible Bird\u2019s Nest Products: The Case of Malaysian Consumers. J Food Prod Mark 20:75\u201384. https:\/\/doi.org\/10.1080\/10454446.2014.946169","journal-title":"J Food Prod Mark"},{"key":"17490_CR86","first-page":"S165","volume":"25","author":"NNHM Shukri","year":"2018","unstructured":"Shukri NNHM, Mohd Nawi N, Abdullah AM, Man N (2018) Modeling purchase intention towards edible bird\u2019s nest products among Malaysians. Int Food Res J 25:S165\u2013S171","journal-title":"Int Food Res J"},{"key":"17490_CR87","first-page":"56","volume":"7","author":"N Rahman","year":"2018","unstructured":"Rahman N, Zandi GR, Yuan L (2018) The Repurchase Intention Development: the Case of Birds Nest Market Consumers in China. Int J Eng Technol 7:56\u201359","journal-title":"Int J Eng Technol"},{"key":"17490_CR88","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1080\/10454446.2019.1691105","volume":"25","author":"NNH Mohamad Shukri","year":"2019","unstructured":"Mohamad Shukri NNH, Mohd Nawi N, Abdullah AM, Man N (2019) Actual Purchase Behavior of Edible Bird\u2019s Nest Products in Malaysia Using Cluster Analysis. J Food Prod Mark 25:849\u2013860. https:\/\/doi.org\/10.1080\/10454446.2019.1691105","journal-title":"J Food Prod Mark"},{"key":"17490_CR89","first-page":"554","volume":"8","author":"NNHM Shukri","year":"2019","unstructured":"Shukri NNHM, Nawi NM, Abdullah AM, Man N (2019) Segmenting consumers purchase intention towards Edible bird\u2019s nest products using the decision tree techniques. Int J Supply Chain Manag 8:554\u2013559","journal-title":"Int J Supply Chain Manag"},{"key":"17490_CR90","doi-asserted-by":"publisher","first-page":"00016","DOI":"10.1051\/e3sconf\/202233500016","volume":"335","author":"O Sjofjan","year":"2022","unstructured":"Sjofjan O, Adli DN (2022) Using fuzzy time series with and without markov chain: to forecast of edible bird nest exported from Indonesia. E3S Web Conf 335:00016. https:\/\/doi.org\/10.1051\/e3sconf\/202233500016","journal-title":"E3S Web Conf"},{"key":"17490_CR91","doi-asserted-by":"publisher","unstructured":"Maulana H, Mulyantika U (2020) The prediction of export product prices with holt\u2019s double exponential smoothing method. In Proc -  International Conference on Computer and Informatics Engineering,  IC2IE 2020:372\u2013375. https:\/\/doi.org\/10.1109\/IC2IE50715.2020.9274679","DOI":"10.1109\/IC2IE50715.2020.9274679"},{"key":"17490_CR92","first-page":"154","volume":"2","author":"NAM Nazri","year":"2022","unstructured":"Nazri NAM, Adi Maimun NH, Ibrahim NL et al (2022) A Spatial Hedonic Analysis of The Effects of Swiftlet Farm on House Prices. J Adv Geospatial Sci Technol 2:154\u2013162","journal-title":"J Adv Geospatial Sci Technol"},{"key":"17490_CR93","doi-asserted-by":"publisher","unstructured":"Chok KC, Ng MG, Ng KY, et al (2021) Edible bird\u2019s nest: recent updates and industry insights based on laboratory findings. Front Pharmacol 12:. https:\/\/doi.org\/10.3389\/fphar.2021.746656","DOI":"10.3389\/fphar.2021.746656"},{"key":"17490_CR94","doi-asserted-by":"publisher","DOI":"10.7176\/ejbm\/11-13-08","author":"J Tangjitmanngamkul","year":"2019","unstructured":"Tangjitmanngamkul J (2019) A Comparative Analysis of Thai Bird\u2019s Nest Export to Chinese Market. Eur J Bus Manag. https:\/\/doi.org\/10.7176\/ejbm\/11-13-08","journal-title":"Eur J Bus Manag"},{"key":"17490_CR95","doi-asserted-by":"publisher","first-page":"6230","DOI":"10.1109\/CVPR.2017.660","volume":"2017","author":"H Zhao","year":"2017","unstructured":"Zhao H, Shi J, Qi X et al (2017) Pyramid scene parsing network. In Proc -IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017:6230\u20136239. https:\/\/doi.org\/10.1109\/CVPR.2017.660","journal-title":"In Proc -IEEE Conference on Computer Vision and Pattern Recognition, CVPR"},{"key":"17490_CR96","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1109\/tpami.2017.2699184","volume":"40","author":"L-C Chen","year":"2017","unstructured":"Chen L-C, Papandreou G, Kokkinos I et al (2017) Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE Trans Pattern Anal Mach Intell 40:834\u2013848. https:\/\/doi.org\/10.1109\/tpami.2017.2699184","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"17490_CR97","doi-asserted-by":"publisher","unstructured":"Zhang S, Ma Z, Zhang G, et al (2020) Semantic Image Segmentation with Deep Convolutional Neural Networks and Quick Shift. Symmetry (Basel) 12:. https:\/\/doi.org\/10.3390\/sym12030427","DOI":"10.3390\/sym12030427"},{"key":"17490_CR98","first-page":"956","volume":"2015","author":"E van der Spoel","year":"2015","unstructured":"van der Spoel E, Rozing MP, Houwing-Duistermaat JJ et al (2015) Siamese neural networks for one-shot image recognition. In Proc -International Conference on MachineLearning - Deep Learning Workshop, ICML 2015:956\u2013963","journal-title":"In Proc -International Conference on MachineLearning - Deep Learning Workshop, ICML"},{"key":"17490_CR99","unstructured":"Snell J, Swersky K, Zemel R (2017) Prototypical networks for few-shot learning. In Proc - 31st Conference on Neural Information Processing Systems, NIPS 2017: 4080-4090"},{"key":"17490_CR100","doi-asserted-by":"publisher","first-page":"121193","DOI":"10.1016\/j.techfore.2021.121193","volume":"174","author":"AS Yalcin","year":"2022","unstructured":"Yalcin AS, Kilic HS, Delen D (2022) The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review. Technol Forecast Soc Change 174:121193. https:\/\/doi.org\/10.1016\/j.techfore.2021.121193","journal-title":"Technol Forecast Soc Change"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-17490-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-17490-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-17490-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,15]],"date-time":"2024-05-15T07:28:29Z","timestamp":1715758109000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-17490-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,9]]},"references-count":100,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2024,5]]}},"alternative-id":["17490"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-17490-4","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,9]]},"assertion":[{"value":"4 May 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 October 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 November 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The author declares that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}