{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T02:09:48Z","timestamp":1722478188940},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2019,7,31]],"date-time":"2019-07-31T00:00:00Z","timestamp":1564531200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,7,31]],"date-time":"2019-07-31T00:00:00Z","timestamp":1564531200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Vietnam National Foundation for Science and Technology Development","award":["102.05-2018.02."],"award-info":[{"award-number":["102.05-2018.02."]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Earth Sci Inform"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1007\/s12145-019-00396-x","type":"journal-article","created":{"date-parts":[[2019,7,31]],"date-time":"2019-07-31T17:02:52Z","timestamp":1564592572000},"page":"525-540","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Adaptive convolutional neural network using N-gram for spatial object recognition"],"prefix":"10.1007","volume":"12","author":[{"given":"J. Joshua","family":"Bapu","sequence":"first","affiliation":[]},{"given":"D. Jemi","family":"Florinabel","sequence":"additional","affiliation":[]},{"given":"Y. Harold","family":"Robinson","sequence":"additional","affiliation":[]},{"given":"E. Golden","family":"Julie","sequence":"additional","affiliation":[]},{"given":"Raghvendra","family":"Kumar","sequence":"additional","affiliation":[]},{"given":"Vo Truong Nhu","family":"Ngoc","sequence":"additional","affiliation":[]},{"given":"Le Hoang","family":"Son","sequence":"additional","affiliation":[]},{"given":"Tran Manh","family":"Tuan","sequence":"additional","affiliation":[]},{"given":"Cu Nguyen","family":"Giap","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,31]]},"reference":[{"key":"396_CR1","unstructured":"Alex DM (2019) Robust and efficient method to extract roads from satellite images"},{"key":"396_CR2","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1016\/j.eswa.2017.09.027","volume":"91","author":"M Ali","year":"2018","unstructured":"Ali M, Son LH, Khan M, Tung NT (2018a) Segmentation of dental X-ray images in medical imaging using Neutrosophic orthogonal matrices. Expert Syst Appl 91:434\u2013441","journal-title":"Expert Syst Appl"},{"issue":"3","key":"396_CR3","doi-asserted-by":"publisher","first-page":"986","DOI":"10.1007\/s40815-017-0380-4","volume":"20","author":"M Ali","year":"2018","unstructured":"Ali M, Dat LQ, Son LH, Smarandache F (2018b) Interval complex Neutrosophic set: formulation and applications in decision-making. Int J Fuzzy Syst 20(3):986\u2013999","journal-title":"Int J Fuzzy Syst"},{"key":"396_CR4","doi-asserted-by":"crossref","unstructured":"Amrani N, Serra-Sagrist\u2019a J, Hern\u2019andez-Cabronero M and Marcellin M, (2016) Regression wavelet analysis for progressive-Lossy-to-lossless coding of remote-sensing data, IEEE Data Compression Conference","DOI":"10.1109\/DCC.2016.43"},{"issue":"9","key":"396_CR5","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1109\/TPAMI.2009.167","volume":"32","author":"PF Felzenszwalb","year":"2010","unstructured":"Felzenszwalb PF, Girshick RB, McAllester D, Ramanan D (2010) Object detection with discriminatively trained part-based models. IEEE Trans Pattern Anal Mach Intell 32(9):1627\u20131645","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"396_CR6","doi-asserted-by":"crossref","unstructured":"Gall J, and Lempitsky V. (2013) Class-specific Hough forests for object detection. In: Decision forests for computer vision and medical image analysis, Springer London, pp. 143\u2013157","DOI":"10.1007\/978-1-4471-4929-3_11"},{"issue":"11","key":"396_CR7","doi-asserted-by":"publisher","first-page":"21882202","DOI":"10.1109\/TPAMI.2011.70","volume":"33","author":"J Gall","year":"2011","unstructured":"Gall J, Yao A, Razavi N, Van Gool L, Lempitsky V (2011) Hough forests for object detection, tracking, and action recognition. IEEE Trans Pattern Anal Mach Intell 33(11):21882202","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"396_CR8","doi-asserted-by":"publisher","first-page":"2479","DOI":"10.3233\/JIFS-171947","volume":"34","author":"CN Giap","year":"2018","unstructured":"Giap CN, Son LH, Chiclana F (2018) Dynamic structural neural network. J Intell Fuzzy Syst 34:2479\u20132490","journal-title":"J Intell Fuzzy Syst"},{"key":"396_CR9","unstructured":"Gupta S, Mazumdar SG (2013) Sobel edge detection algorithm. International Journal of Computer Science and Management Research 2(2):1578\u20131583"},{"key":"396_CR10","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.jvcir.2016.11.006","volume":"42","author":"A Hagag","year":"2016","unstructured":"Hagag A, Fan X, Abd El-Samie FE (2016) HyperCast: hyperspectral satellite image broadcasting with band ordering optimization. J Vis Commun Image Represent 42:14\u201327","journal-title":"J Vis Commun Image Represent"},{"key":"396_CR11","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.asoc.2017.01.021","volume":"54","author":"DT Hai","year":"2017","unstructured":"Hai DT, Le HS, Le TV (2017) Novel fuzzy clustering scheme for 3D wireless sensor networks. Appl Soft Comput 54:141\u2013149","journal-title":"Appl Soft Comput"},{"key":"396_CR12","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","volume":"3","author":"RM Haralick","year":"1973","unstructured":"Haralick RM, Shanmugam K, Dinstein I (1973) Textural features for image classification. IEEE Trans Syst Man Cybern 3:610\u2013621","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"1","key":"396_CR13","first-page":"4275","volume":"7","author":"J Hemanth","year":"2018","unstructured":"Hemanth J, Anitha J, Naaji A, Geman O, Popescu D, Le HS (2018) A modified deep convolutional neural network for abnormal brain image classification. IEEE Access 7(1):4275\u20134283","journal-title":"IEEE Access"},{"issue":"9","key":"396_CR14","volume":"40","author":"L Itti","year":"2001","unstructured":"Itti L (2001) Visual attention and target detection in cluttered natural scenes[J]. Opt Eng 40(9):17841793","journal-title":"Opt Eng"},{"key":"396_CR15","doi-asserted-by":"publisher","first-page":"1489","DOI":"10.1016\/S0042-6989(99)00163-7","volume":"40","author":"L Itti","year":"2000","unstructured":"Itti L, Koch C (2000) A saliency-based search mechanism for overt and covert shifts of visual attention [J]. Vis Res 40:1489\u20131506","journal-title":"Vis Res"},{"issue":"12","key":"396_CR16","doi-asserted-by":"publisher","first-page":"768","DOI":"10.3390\/sym10120768","volume":"10","author":"R Jain","year":"2018","unstructured":"Jain R, Jain N, Kapania S, Son LH (2018) Degree approximation-based fuzzy partitioning algorithm and applications in wheat production prediction. Symmetry-Basel 10(12):768\u2013791","journal-title":"Symmetry-Basel"},{"key":"396_CR17","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1016\/j.measurement.2018.11.006","volume":"134","author":"S Jha","year":"2019","unstructured":"Jha S, Son LH, Kumar R, Priyadarshini I, Smarandache F, Long HV (2019) Neutrosophic image segmentation with dice coefficients. Measurement 134:762\u2013772","journal-title":"Measurement"},{"key":"396_CR18","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/s10916-018-1111-6","volume":"42","author":"D Jude Hemanth","year":"2018","unstructured":"Jude Hemanth D, Anitha J, Son LH, Mittal M (2018) Diabetic retinopathy diagnosis from retinal images using modified Hopfield neural network. J Med Syst 42:247\u2013253","journal-title":"J Med Syst"},{"issue":"3","key":"396_CR19","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1007\/s12524-019-00946-2","volume":"47","author":"Sumit Kaur","year":"2019","unstructured":"Kaur S, Bansal RK, Mittal M, Goyal LM, Kaur I, Verma A, Son LH (2019) Mixed pixel decomposition based on extended fuzzy clustering for single spectral value remote sensing images. J Indian Soc Remote Sens. \nhttps:\/\/doi.org\/10.1007\/s12524-019-00946-2","journal-title":"Journal of the Indian Society of Remote Sensing"},{"key":"396_CR20","doi-asserted-by":"publisher","first-page":"314","DOI":"10.3390\/sym10080314","volume":"10","author":"M Khan","year":"2018","unstructured":"Khan M, Son LH, Ali M, Chau HTM, Na NTN, Smarandache F (2018) Systematic review of decision making algorithms in extended Neutrosophic sets. Symmetry-Basel 10:314\u2013342","journal-title":"Symmetry-Basel"},{"key":"396_CR21","doi-asserted-by":"publisher","first-page":"250","DOI":"10.3390\/sym10070250","volume":"10","author":"T Le","year":"2018","unstructured":"Le T, Le HS, Vo MT, Mi YL, Baik SW (2018) A cluster-based boosting algorithm for bankruptcy prediction in a highly imbalanced dataset. Symmetry-Basel 10:250\u2013262","journal-title":"Symmetry-Basel"},{"key":"396_CR22","unstructured":"Li W, Pan C, Liu L-x (2009) Saliency-based automatic target detection in forward looking infrared images [C]. ICIP:957\u2013960"},{"key":"396_CR23","doi-asserted-by":"crossref","unstructured":"Liebelt J, and Schmid C. (2010) Multi-view object class detection with a 3d geometric model. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp.1688\u20131695. IEEE","DOI":"10.1109\/CVPR.2010.5539836"},{"key":"396_CR24","unstructured":"Lienhart R, and Maydt J (2002) An extended set of haar-like features for rapid object detection. In Image processing. 2002. Proceedings. 2002 international conference on, vol. 1, pp. I-900. IEEE"},{"key":"396_CR25","first-page":"297","volume-title":"Lecture Notes in Computer Science","author":"Rainer Lienhart","year":"2003","unstructured":"Lienhart R, Kuranov A, and Pisarevsky V. (2003) In: Empirical analysis of detection cascades of boosted classifiers for rapid object detection. Pattern recognition, Springer Berlin Heidelberg, pp. 297\u2013304"},{"key":"396_CR26","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1016\/j.cie.2018.11.007","volume":"127","author":"Hoang Viet Long","year":"2019","unstructured":"Long HV, Ali M, Le HS, Khan M, Doan Ngoc T (2019) A novel approach for fuzzy clustering based on Neutrosophic association matrix. Comput Ind Eng 127:687\u2013697","journal-title":"Computers & Industrial Engineering"},{"issue":"12","key":"396_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10916-016-0634-y","volume":"40","author":"TT Ngan","year":"2016","unstructured":"Ngan TT, Tuan TM, Son LH, Minh NH, Dey N (2016) Decision making based on fuzzy aggregation operators for medical diagnosis from dental X-ray images. J Med Syst 40(12):1\u20137","journal-title":"J Med Syst"},{"issue":"2","key":"396_CR28","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/s10489-017-0986-0","volume":"48","author":"RT Ngan","year":"2018","unstructured":"Ngan RT, Ali M, Son LH (2018a) Delta-equality of intuitionistic fuzzy sets: a new proximity measure and applications in medical diagnosis. Appl Intell 48(2):499\u2013525","journal-title":"Appl Intell"},{"key":"396_CR29","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1016\/j.asoc.2018.04.036","volume":"69","author":"RT Ngan","year":"2018","unstructured":"Ngan RT, Son LH, Cuong BC, Ali M (2018b) H-max distance measure of intuitionistic fuzzy sets in decision making. Appl Soft Comput 69:393\u2013425","journal-title":"Appl Soft Comput"},{"issue":"4","key":"396_CR30","first-page":"344","volume":"21","author":"TT Ngan","year":"2018","unstructured":"Ngan TT, Lan LTH, Ali M, Tamir D, Le HS, Tuan TM, Rishe N, Kandel A (2018c) Logic connectives of complex fuzzy sets. Romanian Journal of Information Science and Technology 21(4):344\u2013358","journal-title":"Romanian Journal of Information Science and Technology"},{"issue":"1","key":"396_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13042-017-0691-7","volume":"10","author":"GN Nguyen","year":"2019","unstructured":"Nguyen GN, Son LH, Ashour AS, Dey N (2019) A survey of the state-of-the-arts on Neutrosophic sets in biomedical diagnoses. Int J Mach Learn Cybern 10(1):1\u201313","journal-title":"Int J Mach Learn Cybern"},{"issue":"1","key":"396_CR32","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1002\/int.21830","volume":"32","author":"PH Phong","year":"2017","unstructured":"Phong PH, Son LH (2017) Linguistic vector similarity measures and applications to linguistic information classification. Int J Intell Syst 32(1):67\u201381","journal-title":"Int J Intell Syst"},{"key":"396_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11263-008-0127-7","volume":"77","author":"BC Russel","year":"2008","unstructured":"Russel BC, Torralba A, Murphy KP, Freeman WT (2008) LabelMe: a database and web-based tool for image annotation. Int J Comput Vis 77:1\u20133","journal-title":"Int J Comput Vis"},{"key":"396_CR34","unstructured":"Schneiderman H, and Kanade T. (2000) A statistical method for 3D object detection applied to faces and cars. In Computer Vision and Pattern Recognition, 2000.Proceedings. IEEE Conference on, vol. 1, pp. 746\u2013751. IEEE"},{"key":"396_CR35","doi-asserted-by":"crossref","unstructured":"Seo HJ, Milanfar P. (2010) Visual saliency for automatic target detection, boundary detection and image quality assessment. In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 5578\u20135581. IEEE","DOI":"10.1109\/ICASSP.2010.5495239"},{"issue":"1","key":"396_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2016.2603527","volume":"55","author":"H Shen","year":"2017","unstructured":"Shen H, Pan WD, Wu D (2017) Predictive lossless compression of regions of interest in hyperspectral images with no-data regions. IEEE Trans Geosci Remote Sens 55(1):1\u201310","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"396_CR37","doi-asserted-by":"crossref","unstructured":"Shi Q, Hou X and Qian X, (2015) Hyperspectral image compression based on DLWT and PCA, ACM 15th international conference on internet multimedia computing and service.","DOI":"10.1145\/2808492.2808525"},{"key":"396_CR38","doi-asserted-by":"crossref","unstructured":"S\u0131rma\u00e7ek B, \u00dcnsalan C (2011) A Probabilistic Satellite Images. IEEE Trans Geosci Remote Sens 49(1)","DOI":"10.1109\/TGRS.2010.2053713"},{"key":"396_CR39","unstructured":"Sivaraman V (2004) Rural road feature extraction from aerial images using anisotropic diffusion and dynamic snakes, University of Florida"},{"issue":"1","key":"396_CR40","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.eswa.2014.07.026","volume":"42","author":"LH Son","year":"2015","unstructured":"Son LH (2015) DPFCM: a novel distributed picture fuzzy clustering method on picture fuzzy sets. Expert Syst Appl 42(1):51\u201366","journal-title":"Expert Syst Appl"},{"key":"396_CR41","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1016\/j.asoc.2016.05.009","volume":"46","author":"LH Son","year":"2016","unstructured":"Son LH (2016) Generalized picture distance measure and applications to picture fuzzy clustering. Appl Soft Comput 46:284\u2013295","journal-title":"Appl Soft Comput"},{"issue":"3","key":"396_CR42","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1007\/s10700-016-9249-5","volume":"16","author":"LH Son","year":"2017","unstructured":"Son LH (2017) Measuring analogousness in picture fuzzy sets: from picture distance measures to picture association measures. Fuzzy Optim Decis Making 16(3):359\u2013378","journal-title":"Fuzzy Optim Decis Making"},{"issue":"1","key":"396_CR43","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1007\/s10489-018-1262-7","volume":"49","author":"LH Son","year":"2019","unstructured":"Son LH, Fujita H (2019) Neural-fuzzy with representative sets for prediction of student performance. Appl Intell 49(1):172\u2013187","journal-title":"Appl Intell"},{"key":"396_CR44","doi-asserted-by":"publisher","first-page":"1597","DOI":"10.3233\/JIFS-151654","volume":"31","author":"LH Son","year":"2016","unstructured":"Son LH, Phong PH (2016) On the performance evaluation of intuitionistic vector similarity measures for medical diagnosis. J Intell Fuzzy Syst 31:1597\u20131608","journal-title":"J Intell Fuzzy Syst"},{"issue":"1","key":"396_CR45","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10489-016-0811-1","volume":"46","author":"LH Son","year":"2017","unstructured":"Son LH, Thong PH (2017) Some novel hybrid forecast methods based on picture fuzzy clustering for weather Nowcasting from satellite image sequences. Appl Intell 46(1):1\u201315","journal-title":"Appl Intell"},{"issue":"5","key":"396_CR46","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.1007\/s40815-016-0260-3","volume":"19","author":"LH Son","year":"2017","unstructured":"Son LH, Tien ND (2017) Tune up fuzzy C-means for big data: some novel hybrid clustering algorithms based on initial selection and incremental clustering. Int J Fuzzy Syst 19(5):1585\u20131602","journal-title":"Int J Fuzzy Syst"},{"key":"396_CR47","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1016\/j.eswa.2015.11.001","volume":"46","author":"LH Son","year":"2016","unstructured":"Son LH, Tuan TM (2016) A cooperative semi-supervised fuzzy clustering framework for dental X-ray image segmentation. Expert Syst Appl 46:380\u2013393","journal-title":"Expert Syst Appl"},{"key":"396_CR48","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1016\/j.engappai.2017.01.003","volume":"59","author":"LH Son","year":"2017","unstructured":"Son LH, Tuan TM (2017) Dental segmentation from X-ray images using semi-supervised fuzzy clustering with spatial constraints. Eng Appl Artif Intell 59:186\u2013195","journal-title":"Eng Appl Artif Intell"},{"issue":"5","key":"396_CR49","doi-asserted-by":"publisher","first-page":"894","DOI":"10.1007\/s40815-015-0117-1","volume":"18","author":"LH Son","year":"2016","unstructured":"Son LH, Van Hai P (2016) A novel multiple fuzzy clustering method based on internal clustering validation measures with gradient descent. Int J Fuzzy Syst 18(5):894\u2013903","journal-title":"Int J Fuzzy Syst"},{"key":"396_CR50","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.bspc.2017.07.005","volume":"39C","author":"LH Son","year":"2018","unstructured":"Son LH, Tuan TM, Fujita H, Dey N, Ashour AS, Ngoc VTN, Anh LQ, Chu D-T (2018) Dental diagnosis from X-ray images: an expert system based on fuzzy computing. Biomed Signal Process Control 39C:64\u201373","journal-title":"Biomed Signal Process Control"},{"key":"396_CR51","first-page":"137","volume":"08","author":"TM Talal","year":"2008","unstructured":"Talal TM, Dessouky MI, ElSayed A, Hebaishy M, El-Samie FA (2008) Road Extraction from High Resolution Satellite Images by Morphological Direction Filtering and Length Filtering. Proc ICCTA 08:137\u2013141","journal-title":"Proc ICCTA"},{"issue":"4","key":"396_CR52","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1007\/s12559-017-9462-8","volume":"9","author":"ND Thanh","year":"2017","unstructured":"Thanh ND, Ali M, Son LH (2017) A novel clustering algorithm in a Neutrosophic recommender system for medical diagnosis. Cogn Comput 9(4):526\u2013544","journal-title":"Cogn Comput"},{"issue":"9","key":"396_CR53","doi-asserted-by":"publisher","first-page":"3549","DOI":"10.1007\/s00500-015-1712-7","volume":"20","author":"PH Thong","year":"2016","unstructured":"Thong PH, Son LH (2016a) Picture fuzzy clustering: a new computational intelligence method. Soft Comput 20(9):3549\u20133562","journal-title":"Soft Comput"},{"key":"396_CR54","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.knosys.2016.06.023","volume":"109","author":"PH Thong","year":"2016","unstructured":"Thong PH, Son LH (2016b) A novel automatic picture fuzzy clustering method based on particle swarm optimization and picture composite cardinality. Knowl-Based Syst 109:48\u201360","journal-title":"Knowl-Based Syst"},{"key":"396_CR55","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.engappai.2016.08.009","volume":"56","author":"PH Thong","year":"2016","unstructured":"Thong PH, Son LH (2016c) Picture fuzzy clustering for complex data. Eng Appl Artif Intell 56:121\u2013130","journal-title":"Eng Appl Artif Intell"},{"issue":"2","key":"396_CR56","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1007\/s10489-016-0763-5","volume":"45","author":"TM Tuan","year":"2016","unstructured":"Tuan TM, Ngan TT, Son LH (2016) A novel semi-supervised fuzzy clustering method based on interactive fuzzy satisficing for dental X-ray image segmentation. Appl Intell 45(2):402\u2013428","journal-title":"Appl Intell"},{"key":"396_CR57","doi-asserted-by":"crossref","unstructured":"Uddin MP, Mamun MA and Hossain MA, (2017) \u201cFeature extraction for hyperspectral image classification,\u201d in Proc. IEEE 5th region 10 humanitarian tech. Conf. (R10HTC)","DOI":"10.1109\/R10-HTC.2017.8288979"},{"issue":"2","key":"396_CR58","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/s10489-015-0705-7","volume":"44","author":"AW Wijayanto","year":"2016","unstructured":"Wijayanto AW, Purwarianti A, Son LH (2016) Fuzzy geographically weighted clustering using artificial bee colony: an efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population. Appl Intell 44(2):377\u2013398","journal-title":"Appl Intell"}],"container-title":["Earth Science Informatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-019-00396-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12145-019-00396-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-019-00396-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,29]],"date-time":"2020-07-29T23:28:46Z","timestamp":1596065326000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12145-019-00396-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,31]]},"references-count":58,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["396"],"URL":"https:\/\/doi.org\/10.1007\/s12145-019-00396-x","relation":{},"ISSN":["1865-0473","1865-0481"],"issn-type":[{"value":"1865-0473","type":"print"},{"value":"1865-0481","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,31]]},"assertion":[{"value":"9 May 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 July 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 July 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}