{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T16:36:52Z","timestamp":1758818212437,"version":"3.37.3"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"19","license":[{"start":{"date-parts":[[2021,6,22]],"date-time":"2021-06-22T00:00:00Z","timestamp":1624320000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,6,22]],"date-time":"2021-06-22T00:00:00Z","timestamp":1624320000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100013275","name":"Instituto Serrapilheira","doi-asserted-by":"publisher","award":["Serra-1812-26426"],"award-info":[{"award-number":["Serra-1812-26426"]}],"id":[{"id":"10.13039\/501100013275","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"crossref","award":["301480\/2016-8"],"award-info":[{"award-number":["301480\/2016-8"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["423292\/2018-8"],"award-info":[{"award-number":["423292\/2018-8"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,8]]},"DOI":"10.1007\/s11042-021-10959-0","type":"journal-article","created":{"date-parts":[[2021,6,22]],"date-time":"2021-06-22T16:02:50Z","timestamp":1624377770000},"page":"29177-29197","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Reorganizing local image features with chaotic maps: an application to texture recognition"],"prefix":"10.1007","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0071-0227","authenticated-orcid":false,"given":"Joao B.","family":"Florindo","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,6,22]]},"reference":[{"issue":"2","key":"10959_CR1","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1109\/TITS.2019.2897990","volume":"21","author":"MS Al-Shemarry","year":"2020","unstructured":"Al-Shemarry MS, Li Y, Abdulla S (2020) An efficient texture descriptor for the detection of license plates from vehicle images in difficult conditions. IEEE Trans Intell Transp Syst 21(2):553\u2013564","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"10959_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-28854-3","volume-title":"Image feature detectors and descriptors; foundations and applications, vol 630","author":"AI Awad","year":"2016","unstructured":"Awad AI, Hassaballah M (2016) Image feature detectors and descriptors; foundations and applications, vol 630. Springer International Publishing, New York"},{"key":"10959_CR3","volume-title":"Pattern recognition and machine learning (information science and statistics)","author":"CM Bishop","year":"2006","unstructured":"Bishop CM (2006) Pattern recognition and machine learning (information science and statistics). Springer, Berlin, Heidelberg"},{"issue":"8","key":"10959_CR4","doi-asserted-by":"publisher","first-page":"1872","DOI":"10.1109\/TPAMI.2012.230","volume":"35","author":"J Bruna","year":"2013","unstructured":"Bruna J, Mallat S (2013) Invariant scattering convolution networks. IEEE Trans Pattern Anal Mach Intell 35(8):1872\u20131886","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"3","key":"10959_CR5","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1002\/ima.20201","volume":"19","author":"D Casanova","year":"2009","unstructured":"Casanova D, de Mesquita S\u00e1 Junior JJ, Bruno OM (2009) Plant leaf identification using gabor wavelets. Int J Imaging Syst Technol 19 (3):236\u2013243","journal-title":"Int J Imaging Syst Technol"},{"issue":"12","key":"10959_CR6","doi-asserted-by":"publisher","first-page":"5017","DOI":"10.1109\/TIP.2015.2475625","volume":"24","author":"T Chan","year":"2015","unstructured":"Chan T, Jia K, Gao S, Lu J, Zeng Z, Ma Y (2015) PCANet: A simple deep learning baseline for image classification? IEEE Trans Image Process 24(12):5017\u20135032","journal-title":"IEEE Trans Image Process"},{"key":"10959_CR7","doi-asserted-by":"crossref","unstructured":"Chandramouli K, Izquierdo E (2006) Image classification using chaotic particle swarm optimization. 2006 International Conference on Image Processing, pp 3001\u20133004","DOI":"10.1109\/ICIP.2006.312968"},{"issue":"3","key":"10959_CR8","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1016\/j.chaos.2003.12.022","volume":"21","author":"G Chen","year":"2004","unstructured":"Chen G, Mao Y, Chui CK (2004) A symmetric image encryption scheme based on 3D chaotic cat maps. Chaos, Solitons & Fractals 21(3):749\u2013761","journal-title":"Chaos, Solitons & Fractals"},{"key":"10959_CR9","doi-asserted-by":"crossref","unstructured":"Cimpoi M, Maji S, Kokkinos I, Mohamed S, Vedaldi A (2014) Describing textures in the wild. In: Proceedings of the 2014 IEEE conference on computer vision and pattern recognition, IEEE Computer Society, Washington, DC, USA, CVPR \u201914, pp 3606\u20133613","DOI":"10.1109\/CVPR.2014.461"},{"issue":"1","key":"10959_CR10","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/s11263-015-0872-3","volume":"118","author":"M Cimpoi","year":"2016","unstructured":"Cimpoi M, Maji S, Kokkinos I, Vedaldi A (2016) Deep filter banks for texture recognition, description, and segmentation. Int J Comput Vis 118 (1):65\u201394","journal-title":"Int J Comput Vis"},{"issue":"3","key":"10959_CR11","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273\u2013297","journal-title":"Mach Learn"},{"key":"10959_CR12","doi-asserted-by":"publisher","unstructured":"Dai X, Ng JY, Davis LS (2017) Fason: First and second order information fusion network for texture recognition. In: 2017 IEEE conference on computer vision and pattern recognition (CVPR), pp 6100\u20136108. https:\/\/doi.org\/10.1109\/CVPR.2017.646","DOI":"10.1109\/CVPR.2017.646"},{"key":"10959_CR13","unstructured":"Donahue J, Jia Y, Vinyals O, Hoffman J, Zhang N, Tzeng E, Darrell T (2014) Decaf: A deep convolutional activation feature for generic visual recognition. In: Proceedings of the 31st international conference on international conference on machine learning. JMLR.org, ICML\u201914, vol 32, pp I\u2013647\u2013I\u2013655"},{"key":"10959_CR14","doi-asserted-by":"crossref","unstructured":"Florindo JB, Bruno OM (2011) Fractal descriptors in the Fourier domain applied to color texture analysis. Chaos 21(4)","DOI":"10.1063\/1.3650233"},{"key":"10959_CR15","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.ins.2017.06.022","volume":"415","author":"JB Florindo","year":"2017","unstructured":"Florindo JB, Bruno OM (2017) Discrete schroedinger transform for texture recognition. Inform Sci 415:142\u2013155","journal-title":"Inform Sci"},{"key":"10959_CR16","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.ins.2018.05.037","volume":"459","author":"JB Florindo","year":"2018","unstructured":"Florindo JB, Casanova D, Bruno OM (2018) A Gaussian pyramid approach to Bouligand\u2013Minkowski fractal descriptors. Inform Sci 459:36\u201352","journal-title":"Inform Sci"},{"key":"10959_CR17","volume-title":"Chaos: Making a New Science","author":"J Gleick","year":"1987","unstructured":"Gleick J (1987) Chaos: Making a New Science. Penguin Books, USA"},{"issue":"C","key":"10959_CR18","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.ins.2016.04.052","volume":"364","author":"WN Gon\u00e7alves","year":"2016","unstructured":"Gon\u00e7alves WN, da Silva NR, da Fontoura Costa L, Bruno OM (2016) Texture recognition based on diffusion in networks. Inform Sci 364(C):51\u201371","journal-title":"Inform Sci"},{"key":"10959_CR19","volume-title":"Deep Learning","author":"I Goodfellow","year":"2016","unstructured":"Goodfellow I, Bengio Y, Courville A (2016) Deep Learning. MIT Press, Cambridge. http:\/\/www.deeplearningbook.org"},{"key":"10959_CR20","doi-asserted-by":"publisher","first-page":"1408","DOI":"10.1016\/j.mcm.2009.10.023","volume":"51","author":"Y Guo","year":"2010","unstructured":"Guo Y, Wu Y, Ju Z, Wang J, Zhao L (2010a) Remote sensing image classification by the chaos genetic algorithm in monitoring land use changes. Math Comput Model 51:1408\u20131416","journal-title":"Math Comput Model"},{"issue":"6","key":"10959_CR21","doi-asserted-by":"publisher","first-page":"1657","DOI":"10.1109\/TIP.2010.2044957","volume":"19","author":"Z Guo","year":"2010","unstructured":"Guo Z, Zhang L, Zhang D (2010b) A completed modeling of local binary pattern operator for texture classification. Trans Img Proc 19(6):1657\u20131663","journal-title":"Trans Img Proc"},{"issue":"3","key":"10959_CR22","doi-asserted-by":"publisher","first-page":"706","DOI":"10.1016\/j.patcog.2009.08.017","volume":"43","author":"Z Guo","year":"2010","unstructured":"Guo Z, Zhang L, Zhang D (2010c) Rotation invariant texture classification using lbp variance (lbpv) with global matching. Pattern Recogn 43(3):706\u2013719","journal-title":"Pattern Recogn"},{"key":"10959_CR23","doi-asserted-by":"crossref","unstructured":"Haralick R, Shanmugam K, Dinstein I (1973) Texture features for image classification. IEEE Trans Systems Man Cybern 3(6)","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"10959_CR24","first-page":"1","volume":"630","author":"M Hassaballah","year":"2016","unstructured":"Hassaballah M, Awad AI (2016) Detection and description of image features. An Introduct 630:1\u20138","journal-title":"An Introduct"},{"key":"10959_CR25","doi-asserted-by":"crossref","unstructured":"Hayman E, Caputo B, Fritz M, Eklundh JO (2004) On the significance of real-world conditions for material classification. In: Pajdla T, Matas J (eds) Computer Vision - ECCV 2004. Springer, Berlin, pp 253\u2013266","DOI":"10.1007\/978-3-540-24673-2_21"},{"key":"10959_CR26","unstructured":"Ho TK (1995) Random decision forests. In: Proceedings of the third international conference on document analysis and recognition (Volume 1). ICDAR \u201995, vol 1. IEEE Computer Society, Washington, p 278"},{"issue":"2","key":"10959_CR27","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1109\/81.904880","volume":"48","author":"G Jakimoski","year":"2001","unstructured":"Jakimoski G, Kocarev L (2001) Chaos and cryptography: Block encryption ciphers based on chaotic maps. IEEE Trans Circ Syst I-Regul Papers 48 (2):163\u2013169","journal-title":"IEEE Trans Circ Syst I-Regul Papers"},{"issue":"5802","key":"10959_CR28","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1038\/290091a0","volume":"290","author":"B Julesz","year":"1981","unstructured":"Julesz B (1981) Textons, the elements of texture perception, and their interactions. Nature 290(5802):91\u201397","journal-title":"Nature"},{"key":"10959_CR29","unstructured":"Kannala J, Rahtu E (2012) Bsif: Binarized statistical image features. In: ICPR IEEE Computer Society, pp 1363\u20131366"},{"key":"10959_CR30","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/j.neucom.2012.10.039","volume":"125","author":"Q Ke","year":"2014","unstructured":"Ke Q, Oommen BJ (2014) Logistic neural networks: Their chaotic and pattern recognition properties. Neurocomputing 125:184\u2013194","journal-title":"Neurocomputing"},{"issue":"9","key":"10959_CR31","doi-asserted-by":"publisher","first-page":"10853","DOI":"10.1007\/s11042-017-5341-2","volume":"77","author":"R Lan","year":"2018","unstructured":"Lan R, Zhong S, Liu Z, Shi Z, Luo X (2018) A simple texture feature for retrieval of medical images. Multimed Tools Appl 77(9):10853\u201310866. https:\/\/doi.org\/10.1007\/s11042-017-5341-2","journal-title":"Multimed Tools Appl"},{"issue":"8","key":"10959_CR32","doi-asserted-by":"publisher","first-page":"1265","DOI":"10.1109\/TPAMI.2005.151","volume":"27","author":"S Lazebnik","year":"2005","unstructured":"Lazebnik S, Schmid C, Ponce J (2005) A sparse texture representation using local affine regions. IEEE Trans Pattern Anal Mach Intell 27(8):1265\u20131278","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10959_CR33","doi-asserted-by":"crossref","unstructured":"Leguizam\u00f3n S, Esp\u00ednola M, Ayala R, Iribarne L, Menenti M, Ordonez de Pablos P, Ziderman A, Roulstone A, Maurer H, Imber JB (2010) Characterization of texture in images by using a cellular automata approach. In: Lytras MD (ed) Organizational, business, and technological aspects of the knowledge society. Springer, Berlin, pp 522\u2013533","DOI":"10.1007\/978-3-642-16324-1_61"},{"key":"10959_CR34","doi-asserted-by":"crossref","unstructured":"Liu L, Fieguth P, Kuang G (2011) Compressed sensing for robust texture classification. In: Kimmel R, Klette R, Sugimoto A (eds) Computer Vision \u2013 ACCV 2010. Springer, Berlin, pp 383\u2013396","DOI":"10.1007\/978-3-642-19315-6_30"},{"issue":"2","key":"10959_CR35","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91\u2013110","journal-title":"Int J Comput Vis"},{"issue":"3","key":"10959_CR36","doi-asserted-by":"publisher","first-page":"033136","DOI":"10.1063\/1.5125097","volume":"30","author":"MF Maritz","year":"2020","unstructured":"Maritz MF (2020) A note on exact solutions of the logistic map. Chaos: Interdiscipl J Nonlinear Sci 30(3):033136","journal-title":"Chaos: Interdiscipl J Nonlinear Sci"},{"key":"10959_CR37","volume-title":"Discriminant analysis and statistical pattern recognition","author":"GJ McLachlan","year":"2004","unstructured":"McLachlan GJ (2004) Discriminant analysis and statistical pattern recognition. N.J, Wiley-Interscience Hoboken"},{"key":"10959_CR38","doi-asserted-by":"crossref","unstructured":"Nathan D, Aitken A, Holden EJ, Wong J (2020) Imaging sedimentary basins from high-resolution aeromagnetics and texture analysis. Comput Geosci 136","DOI":"10.1016\/j.cageo.2019.104396"},{"issue":"7","key":"10959_CR39","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala T, Pietik\u00e4inen M, M\u00e4enp\u00e4\u00e4 T (2002) Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell 24(7):971\u2013987","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10959_CR40","doi-asserted-by":"crossref","unstructured":"Perronnin F, S\u00e1nchez J, Mensink T (2010) Improving the fisher kernel for large-scale image classification. In: Proceedings of the 11th european conference on computer vision: Part IV. ECCV\u201910. Springer, Berlin, pp 143\u2013156","DOI":"10.1007\/978-3-642-15561-1_11"},{"key":"10959_CR41","doi-asserted-by":"crossref","unstructured":"Quan Y, Xu Y, Sun Y, Luo Y (2014) Lacunarity analysis on image patterns for texture classification. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp 160\u2013167","DOI":"10.1109\/CVPR.2014.28"},{"key":"10959_CR42","doi-asserted-by":"publisher","first-page":"1560","DOI":"10.1016\/j.neucom.2014.08.036","volume":"149","author":"NR da Silva","year":"2015","unstructured":"da Silva NR, der Wee\u00ebn PV, Baets BD, Bruno OM (2015) Improved texture image classification through the use of a corrosion-inspired cellular automaton. Neurocomputing 149:1560\u20131572","journal-title":"Neurocomputing"},{"issue":"7","key":"10959_CR43","doi-asserted-by":"publisher","first-page":"1565","DOI":"10.1109\/TCSVT.2017.2671899","volume":"28","author":"T Song","year":"2018","unstructured":"Song T, Li H, Meng F, Wu Q, Cai J (2018) LETRIST: Locally Encoded Transform Feature Histogram for Rotation-Invariant Texture Classification. IEEE Trans Circ Syst Video Technol 28(7):1565\u20131579","journal-title":"IEEE Trans Circ Syst Video Technol"},{"key":"10959_CR44","doi-asserted-by":"publisher","unstructured":"Song Y, Zhang F, Li Q, Huang H, O\u2019Donnell LJ, Cai W (2017) Locally-transferred fisher vectors for texture classification. In: 2017 IEEE international conference on computer vision (ICCV), pp 4922\u20134930. https:\/\/doi.org\/10.1109\/ICCV.2017.526","DOI":"10.1109\/ICCV.2017.526"},{"key":"10959_CR45","doi-asserted-by":"publisher","first-page":"123651","DOI":"10.1016\/j.physa.2019.123651","volume":"545","author":"G Taraschi","year":"2020","unstructured":"Taraschi G, Florindo JB (2020) Computing fractal descriptors of texture images using sliding boxes: An application to the identification of brazilian plant species. Physica A: Stat Mechan Appl 545:123651","journal-title":"Physica A: Stat Mechan Appl"},{"key":"10959_CR46","doi-asserted-by":"crossref","unstructured":"Timofte R, Gool LV (2012) A training-free classification framework for textures, writers, and materials. BMVC","DOI":"10.5244\/C.26.93"},{"issue":"1","key":"10959_CR47","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s11263-005-4635-4","volume":"62","author":"M Varma","year":"2005","unstructured":"Varma M, Zisserman A (2005) A statistical approach to texture classification from single images. Int J Comput Vis 62(1):61\u201381","journal-title":"Int J Comput Vis"},{"issue":"11","key":"10959_CR48","doi-asserted-by":"publisher","first-page":"2032","DOI":"10.1109\/TPAMI.2008.182","volume":"31","author":"M Varma","year":"2009","unstructured":"Varma M, Zisserman A (2009) A statistical approach to material classification using image patch exemplars. IEEE Trans Pattern Anal Mach Intell 31 (11):2032\u20132047","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10959_CR49","doi-asserted-by":"crossref","unstructured":"Xu Y, Huang SB, Ji H, Ferm\u00fcller C (2009a) Combining powerful local and global statistics for texture description. In: IEEE Conference on Computer Vision and Pattern Recognition, 2009. CVPR 2009, IEEE. IEEE, pp 573\u2013580","DOI":"10.1109\/CVPR.2009.5206741"},{"issue":"1","key":"10959_CR50","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/s11263-009-0220-6","volume":"83","author":"Y Xu","year":"2009","unstructured":"Xu Y, Ji H, Ferm\u00fcller C (2009b) Viewpoint invariant texture description using fractal analysis. Int J Comput Vis 83(1):85\u2013100","journal-title":"Int J Comput Vis"},{"key":"10959_CR51","doi-asserted-by":"crossref","unstructured":"Xue J, Zhang H, Dana K (2018) Deep texture manifold for ground terrain recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","DOI":"10.1109\/CVPR.2018.00065"},{"key":"10959_CR52","doi-asserted-by":"publisher","first-page":"101728","DOI":"10.1016\/j.bspc.2019.101728","volume":"56","author":"B Yin","year":"2020","unstructured":"Yin B, Wang C, Abza F (2020) New brain tumor classification method based on an improved version of whale optimization algorithm. Biomed Signal Process Control 56:101728","journal-title":"Biomed Signal Process Control"},{"key":"10959_CR53","first-page":"2264","volume":"27","author":"W Yu","year":"2015","unstructured":"Yu W, Wang D (2015) Image chaotic characteristics and application in face recognition. J Comput-Aided Design Comput Graph 27:2264\u20132271","journal-title":"J Comput-Aided Design Comput Graph"},{"key":"10959_CR54","doi-asserted-by":"crossref","unstructured":"Yu WB (2017) Application of chaos in image processing and recognition. In: 2017 international conference on computer systems electronics and control (ICCSEC), pp 1108\u20131113","DOI":"10.1109\/ICCSEC.2017.8446823"},{"key":"10959_CR55","doi-asserted-by":"crossref","unstructured":"Zhai W, Cao Y, Zhang J, Zha ZJ (2019) Deep multiple-attribute-perceived network for real-world texture recognition. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)","DOI":"10.1109\/ICCV.2019.00371"},{"key":"10959_CR56","doi-asserted-by":"publisher","unstructured":"Zhang H, Xue J, Dana K (2017) Deep ten: Texture encoding network. In: 2017 IEEE conference on computer vision and pattern recognition (CVPR), pp 2896\u20132905. https:\/\/doi.org\/10.1109\/CVPR.2017.309","DOI":"10.1109\/CVPR.2017.309"},{"issue":"6","key":"10959_CR57","doi-asserted-by":"publisher","first-page":"1375","DOI":"10.1109\/72.963774","volume":"12","author":"L Zhao","year":"2001","unstructured":"Zhao L, Macau EEN (2001) A network of dynamically coupled chaotic maps for scene segmentation. IEEE Trans Neural Netw 12(6):1375\u20131385","journal-title":"IEEE Trans Neural Netw"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-10959-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-021-10959-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-10959-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T18:08:36Z","timestamp":1629396516000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-021-10959-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,22]]},"references-count":57,"journal-issue":{"issue":"19","published-print":{"date-parts":[[2021,8]]}},"alternative-id":["10959"],"URL":"https:\/\/doi.org\/10.1007\/s11042-021-10959-0","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2021,6,22]]},"assertion":[{"value":"12 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 January 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 April 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 June 2021","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 authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of interests"}}]}}