{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T07:10:13Z","timestamp":1777705813254,"version":"3.51.4"},"reference-count":61,"publisher":"SAGE Publications","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2023,6,1]]},"abstract":"<jats:p>This article has been retracted. A retraction notice can be found at https:\/\/doi.org\/10.3233\/JIFS-219433.<\/jats:p>","DOI":"10.3233\/jifs-223218","type":"journal-article","created":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T11:49:23Z","timestamp":1680608963000},"page":"10255-10274","source":"Crossref","is-referenced-by-count":9,"title":["RETRACTED: Detection and classification of cracks and\u00a0potholes in road images using texture descriptors"],"prefix":"10.1177","volume":"44","author":[{"given":"Anita Maria da Rocha","family":"Fernandes","sequence":"first","affiliation":[{"name":"Laboratory of Applied Intelligence, Polytechnic School, University of Vale do Itaja\u00ed, Itaja\u00ed, Brazil"}]},{"given":"Mateus Junior","family":"Cassaniga","sequence":"additional","affiliation":[{"name":"Laboratory of Applied Intelligence, Polytechnic School, University of Vale do Itaja\u00ed, Itaja\u00ed, Brazil"}]},{"given":"Bianka Tallita","family":"Passos","sequence":"additional","affiliation":[{"name":"Laboratory of Applied Intelligence, Polytechnic School, University of Vale do Itaja\u00ed, Itaja\u00ed, Brazil"}]},{"given":"Eros","family":"Comunello","sequence":"additional","affiliation":[{"name":"Laboratory of Applied Intelligence, Polytechnic School, University of Vale do Itaja\u00ed, Itaja\u00ed, Brazil"}]},{"given":"Stefano Frizzo","family":"Stefenon","sequence":"additional","affiliation":[{"name":"Digital Industry Center, Fondazione Bruno Kessler, Via Sommarive 18, Povo, Trento, Italy"},{"name":"Department of Mathematics, Computer Science and Physics, University of Udine, Via delle Scienze 206, Udine, Italy"}]},{"given":"Valderi Reis Quietinho","family":"Leithardt","sequence":"additional","affiliation":[{"name":"COPELABS, Lus\u00f3fona University of Humanities and Technologies, Campo Grande 376, Lisboa, Portugal"},{"name":"VALORIZA, Research Center for Endogenous Resources Valorization, Instituto Polit\u00e9cnico de Portalegre, Portalegre, Portugal"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-223218_ref3","first-page":"327","article-title":"Pavement crack detection based on yolo v3","volume":"2","author":"Nie","year":"2019","journal-title":"In International Conference on Safety Produce Informatization (IICSPI)"},{"key":"10.3233\/JIFS-223218_ref4","unstructured":"BRASIL. Manual de Conservacao Rodoviaria. Departamento Nacional de Infra-Estrutura. Diretoria de Planejamento e Pesquisa. Coordenacao Geral de Estudos e Pesquisa. Instituto de Pesquisas Rodoviarias, 2 edition, 2005."},{"key":"10.3233\/JIFS-223218_ref5","first-page":"1","article-title":"Anintegrated cnn-rnn framework to assess road crack","volume":"22","author":"Ahmed","year":"2019","journal-title":"In International Conference on Computer and Information Technology (ICCIT)"},{"issue":"3","key":"10.3233\/JIFS-223218_ref8","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1016\/j.aei.2011.01.002","article-title":"Pothole detection in asphalt pavement images","volume":"25","author":"Koch","year":"2011","journal-title":"Advanced Engineering Informatics"},{"key":"10.3233\/JIFS-223218_ref15","doi-asserted-by":"crossref","first-page":"114892","DOI":"10.1109\/ACCESS.2020.3003638","article-title":"Automated pavement crack segmentation using U-Net-Based convolutional neural network","volume":"8","author":"Lau","year":"2020","journal-title":"IEEE Access"},{"issue":"14","key":"10.3233\/JIFS-223218_ref20","doi-asserted-by":"crossref","first-page":"3903","DOI":"10.3390\/s20143903","article-title":"An efficient segmentation and classification system in medical images using intuitionist possibilistic fuzzy c-mean clustering and fuzzy SVM algorithm","volume":"20","author":"Chowdhary","year":"2020","journal-title":"Sensors"},{"issue":"4","key":"10.3233\/JIFS-223218_ref21","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1111\/j.1467-8667.2011.00736.x","article-title":"Automatic road defect detection by textural pattern recognition based on adaboost","volume":"27","author":"Cord","year":"2012","journal-title":"Computer-Aided Civil and Infrastructure Engineering"},{"issue":"3","key":"10.3233\/JIFS-223218_ref22","doi-asserted-by":"crossref","first-page":"608","DOI":"10.1109\/TITS.2015.2482222","article-title":"A simplified computer vision system for road surface inspection and maintenance","volume":"17","author":"Quintana","year":"2016","journal-title":"IEEETransactions on Intelligent Transportation Systems"},{"issue":"7","key":"10.3233\/JIFS-223218_ref23","doi-asserted-by":"crossref","first-page":"2076","DOI":"10.1109\/TITS.2017.2728680","article-title":"Automatic pavement objectdetection using superpixel segmentation combined with conditional random field","volume":"19","author":"Sultani","year":"2018","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"issue":"10","key":"10.3233\/JIFS-223218_ref24","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1049\/iet-smt.2020.0083","article-title":"Fault detection in insulators basedon ultrasonic signal processing using a hybrid deep learning technique","volume":"14","author":"Stefenon","year":"2020","journal-title":"IET Science, Measurement & Technology"},{"issue":"2022","key":"10.3233\/JIFS-223218_ref25","first-page":"4557","article-title":"Classification of distribution power grid structures using inceptionv3 deep neural network","volume":"104","author":"Stefenon","journal-title":"Electrical Engineering"},{"issue":"19","key":"10.3233\/JIFS-223218_ref26","doi-asserted-by":"crossref","first-page":"6419","DOI":"10.3390\/s21196419","article-title":"Static attitude determination using convolutional neural networks","volume":"21","author":"Henrique dos Santos","year":"2021","journal-title":"Sensors"},{"key":"10.3233\/JIFS-223218_ref27","doi-asserted-by":"crossref","first-page":"25190","DOI":"10.1109\/ACCESS.2022.3155123","article-title":"Low-cost cnn for automatic violence recognition on embedded system","volume":"10","author":"Vieira","year":"2022","journal-title":"IEEE Access"},{"issue":"13","key":"10.3233\/JIFS-223218_ref28","doi-asserted-by":"crossref","first-page":"4859","DOI":"10.3390\/s22134859","article-title":"Semiprotopnet deep neural network for the classification of defective power grid distribution structures","volume":"22","author":"Stefenon","year":"2022","journal-title":"Sensors"},{"issue":"6","key":"10.3233\/JIFS-223218_ref29","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1049\/hve.2019.0294","article-title":"Transformer winding type recognition based on fra dataand a support vector machine model","volume":"5","author":"Mao","year":"2020","journal-title":"High Voltage"},{"issue":"2","key":"10.3233\/JIFS-223218_ref30","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1049\/hve2.12019","article-title":"Contamination degree prediction of insulator surface based on exploratory factor analysis-least square support vector machine combined model","volume":"6","author":"Sun","year":"2021","journal-title":"High Voltage"},{"issue":"3","key":"10.3233\/JIFS-223218_ref31","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1049\/hve2.12071","article-title":"Method ofgil partial discharge localization based onnatural neighbour interpolation and ecoc-mlp-svm using optical simulation technology","volume":"6","author":"Zang","year":"2021","journal-title":"High Voltage"},{"key":"10.3233\/JIFS-223218_ref32","doi-asserted-by":"crossref","first-page":"102983","DOI":"10.1016\/j.jnca.2021.102983","article-title":"A comprehensive surveyand taxonomy of the SVM based intrusion detection systems","volume":"178","author":"Mohammadi","year":"2021","journal-title":"Journal of Network and Computer Applications"},{"issue":"6","key":"10.3233\/JIFS-223218_ref33","doi-asserted-by":"crossref","first-page":"1096","DOI":"10.1049\/gtd2.12353","article-title":"Classification of insulators using neural network based on computer vision. IET Generation","volume":"16","author":"Stefenon","year":"2021","journal-title":"Transmission & Distribution"},{"issue":"5","key":"10.3233\/JIFS-223218_ref35","doi-asserted-by":"crossref","first-page":"398","DOI":"10.4103\/0256-4602.62225","article-title":"Automatic pavement crack detectionusing texture and shape descriptors","volume":"27","author":"Hu","year":"2010","journal-title":"IETE Technical Review"},{"issue":"12","key":"10.3233\/JIFS-223218_ref37","doi-asserted-by":"crossref","first-page":"3434","DOI":"10.1109\/TITS.2016.2552248","article-title":"Automatic road crack detection using random structured forests","volume":"17","author":"Shi","year":"2016","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"10.3233\/JIFS-223218_ref40","first-page":"181","article-title":"Road crack image segmentation using global context u-net","volume":"3","author":"Chen","year":"2019","journal-title":"In International Conference on Computer Science and Artificial Intelligence"},{"key":"10.3233\/JIFS-223218_ref41","first-page":"1","article-title":"Amodern pothole detection technique using deep learning,","volume":"2","author":"Kumar","year":"2020","journal-title":"In International Conference on Data, Engineering and Applications (IDEA)"},{"issue":"5","key":"10.3233\/JIFS-223218_ref44","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.3390\/en14051318","article-title":"Experimental comparison of preferential vs. commondelta connections for the star-delta starting of induction motors","volume":"14","author":"Augusto Itajiba","year":"2021","journal-title":"Energies"},{"issue":"04","key":"10.3233\/JIFS-223218_ref45","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1109\/TLA.2019.8891883","article-title":"Fem applied to evaluation of theinfluence of electric field on design of the stator slots in pmsm","volume":"17","author":"Stefenon","year":"2019","journal-title":"IEEE Latin America Transactions"},{"issue":"11","key":"10.3233\/JIFS-223218_ref46","doi-asserted-by":"crossref","first-page":"1975","DOI":"10.3390\/electronics9111975","article-title":"Electric field evaluation using the finite element method and proxymodels for the design of stator slots in a permanent magnet synchronous motor","volume":"9","author":"Stefenon","year":"2020","journal-title":"Electronics"},{"issue":"42","key":"10.3233\/JIFS-223218_ref47","doi-asserted-by":"crossref","first-page":"6221","DOI":"10.3233\/JIFS-212788","article-title":"Long short-term memory stacking model to predict the number of cases and deaths caused by COVID-19","volume":"6","author":"Fernandes","year":"2022","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"issue":"1","key":"10.3233\/JIFS-223218_ref48","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.3233\/JIFS-201279","article-title":"Photovoltaic power forecasting using wavelet neuro-fuzzy for active solar trackers","volume":"40","author":"Stefenon","year":"2021","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"key":"10.3233\/JIFS-223218_ref49","doi-asserted-by":"crossref","first-page":"107584","DOI":"10.1016\/j.epsr.2021.107584","article-title":"Time series forecasting using ensemble learning methods for emergency preventionin hydroelectric power plants with dam","volume":"202","author":"Stefenon","year":"2022","journal-title":"Electric Power Systems Research"},{"issue":"9","key":"10.3233\/JIFS-223218_ref50","doi-asserted-by":"crossref","first-page":"2366","DOI":"10.3390\/en13092366","article-title":"Tools for measuring energy sustainability: A comparative review","volume":"13","author":"Muniz","year":"2020","journal-title":"Energies"},{"issue":"9","key":"10.3233\/JIFS-223218_ref51","doi-asserted-by":"crossref","first-page":"1865","DOI":"10.1049\/gtd2.12425","article-title":"Optimal design of electrical power distribution gridspacers using finite element method","volume":"16","author":"Stefenon","year":"2022","journal-title":"IET Generation, Transmission & Distribution"},{"issue":"3","key":"10.3233\/JIFS-223218_ref52","doi-asserted-by":"crossref","first-page":"1498","DOI":"10.1109\/TIP.2018.2878966","article-title":"Deep crack: Learning hierarchical convolutional features for crack detection","volume":"28","author":"Zou","year":"2019","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.3233\/JIFS-223218_ref53","doi-asserted-by":"crossref","first-page":"206548","DOI":"10.1109\/ACCESS.2020.3037667","article-title":"Convolutional neural network-based pavement cracksegmentation using pyramid attention network","volume":"8","author":"Wang","year":"2020","journal-title":"IEEE Access"},{"issue":"2","key":"10.3233\/JIFS-223218_ref56","doi-asserted-by":"crossref","first-page":"023016","DOI":"10.1117\/1.JEI.21.2.023016","article-title":"Evaluation of feature descriptors for texture classification","volume":"21","author":"Schwartz","year":"2012","journal-title":"Journal of Electronic Imaging"},{"issue":"6","key":"10.3233\/JIFS-223218_ref57","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","article-title":"Textural features for image classification","volume":"3","author":"Haralick","year":"1973","journal-title":"IEEE Transactions on systems, man, and cybernetics, SMC-"},{"issue":"1","key":"10.3233\/JIFS-223218_ref58","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/0031-3203(95)00067-4","article-title":"A comparative study of texture measures with classification based on featured distributions","volume":"29","author":"Ojala","year":"1996","journal-title":"Pattern Recognition"},{"issue":"26","key":"10.3233\/JIFS-223218_ref59","first-page":"429","article-title":"Theory of communication. part 1: The analysis ofinformation","volume":"93","author":"Gabor","year":"1946","journal-title":"Journal of the Institution of ElectricalEngineers-Part III: Radio and Communication Engineering"},{"issue":"12","key":"10.3233\/JIFS-223218_ref60","doi-asserted-by":"crossref","first-page":"3325","DOI":"10.1016\/j.patcog.2007.04.023","article-title":"Evaluation of the effects of gabor filter parameters on texture classification","volume":"40","author":"Bianconi","year":"2007","journal-title":"Pattern Recognition"},{"issue":"3","key":"10.3233\/JIFS-223218_ref63","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Machine Learning"},{"key":"10.3233\/JIFS-223218_ref65","doi-asserted-by":"crossref","first-page":"116563","DOI":"10.1016\/j.fuel.2019.116563","article-title":"Assisted history matching in shale gas well using multiple-proxy-based markov chain monte carlo algorithm: The comparison of k-nearest neighbors and neural networks as proxymodel","volume":"262","author":"Tripoppoom","year":"2020","journal-title":"Fuel"},{"key":"10.3233\/JIFS-223218_ref66","doi-asserted-by":"crossref","first-page":"108982","DOI":"10.1016\/j.ijepes.2023.108982","article-title":"Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV","volume":"148","author":"Souza","year":"2023","journal-title":"International Journal of Electrical Power & Energy Systems"},{"key":"10.3233\/JIFS-223218_ref67","doi-asserted-by":"crossref","first-page":"33980","DOI":"10.1109\/ACCESS.2022.3161506","article-title":"Analysis of the ultrasonic signal in polymeric contaminated insulators through ensemble learning methods","volume":"10","author":"Stefenon","year":"2022","journal-title":"IEEE Access"},{"issue":"9","key":"10.3233\/JIFS-223218_ref68","doi-asserted-by":"crossref","first-page":"112","DOI":"10.3390\/computers10090112","article-title":"Classification of contaminated insulators usingk-nearest neighbors based on computer vision","volume":"10","author":"Corso","year":"2021","journal-title":"Computers"},{"issue":"5","key":"10.3233\/JIFS-223218_ref69","doi-asserted-by":"crossref","first-page":"1774","DOI":"10.1109\/TNNLS.2017.2673241","article-title":"Efficient k-NN classification with different numbers of nearest neighbors","volume":"29","author":"Zhang","year":"2018","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.3233\/JIFS-223218_ref70","doi-asserted-by":"crossref","first-page":"107541","DOI":"10.1016\/j.asoc.2021.107541","article-title":"Railway dangerous goods transportation system risk identification: comparisons among SVM, PSO-SVM, GASVM and GS-SVM","volume":"109","author":"Huang","year":"2021","journal-title":"Applied Soft Computing"},{"issue":"2021","key":"10.3233\/JIFS-223218_ref71","first-page":"108182","article-title":"Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models","volume":"200","author":"Otchere","journal-title":"Journal of Petroleum Science and Engineering"},{"issue":"5","key":"10.3233\/JIFS-223218_ref73","doi-asserted-by":"crossref","first-page":"6655","DOI":"10.3233\/JIFS-190013","article-title":"Fault diagnosis of insulators from ultrasound detection using neural networks","volume":"37","author":"Stefenon","year":"2019","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"issue":"4","key":"10.3233\/JIFS-223218_ref74","doi-asserted-by":"crossref","first-page":"3285","DOI":"10.3233\/JIFS-211126","article-title":"Comparison of artificial intelligence techniques to failure prediction in contaminated insulators based on leakage current","volume":"42","author":"Medeiros","year":"2022","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"issue":"4","key":"10.3233\/JIFS-223218_ref75","doi-asserted-by":"crossref","first-page":"1592","DOI":"10.3390\/app11041592","article-title":"A study of multilayer perceptron networks applied to classification of ceramic insulators using ultrasound","volume":"11","author":"Sopelsa Neto","year":"2021","journal-title":"Applied Sciences"},{"issue":"07","key":"10.3233\/JIFS-223218_ref76","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1109\/TLA.2020.9099759","article-title":"A solution for dynamic management of user profiles in iot environments","volume":"18","author":"Leithardt","year":"2020","journal-title":"IEEE Latin America Transactions"},{"key":"10.3233\/JIFS-223218_ref77","first-page":"909","article-title":"Internet of things: Concepts, architectures and technologies","volume":"13","author":"Viel","year":"2018","journal-title":"In IEEE International Conference on Industry Applications (INDUSCON)"},{"issue":"5","key":"10.3233\/JIFS-223218_ref78","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.3390\/electronics12051083","article-title":"Ocr applied for identification of vehicles with irregular documentation using IOT","volume":"12","author":"Glasenapp","year":"2023","journal-title":"Electronics"},{"issue":"1","key":"10.3233\/JIFS-223218_ref79","first-page":"989","article-title":"Classifying garments from fashion-mnist dataset through cnns. Advances in Science","volume":"6","author":"Leithardt","year":"2021","journal-title":"Technology and Engineering Systems Journal"},{"issue":"1","key":"10.3233\/JIFS-223218_ref80","first-page":"2022","article-title":"Application of machine learning techniques to predict a patient\u2019s no-show in the healthcare sector","volume":"14","author":"Salazar","journal-title":"Future Internet"},{"key":"10.3233\/JIFS-223218_ref81","first-page":"1","article-title":"Prediction of attendance at medical appointments based on machine learning","volume":"15","author":"Salazar","year":"2020","journal-title":"In Iberian Conferenceon Information Systems and Technologies (CISTI)"},{"issue":"21","key":"10.3233\/JIFS-223218_ref82","doi-asserted-by":"crossref","first-page":"8292","DOI":"10.3390\/s22218292","article-title":"Anarchitecture for managing data privacy in healthcare with blockchain","volume":"22","author":"de Moraes Rossetto","year":"2022","journal-title":"Sensors"},{"key":"10.3233\/JIFS-223218_ref83","doi-asserted-by":"crossref","first-page":"107336","DOI":"10.1016\/j.ijepes.2021.107336","article-title":"Echo state network applied for classification of medium voltage insulators","volume":"134","author":"Stefenon","year":"2022","journal-title":"International Journal of Electrical Power & Energy Systems"},{"key":"10.3233\/JIFS-223218_ref84","first-page":"66387","article-title":"Hybrid wavelet stacking ensemble model for insulators contamination forecasting","volume":"9","author":"Stefenon","year":"2021","journal-title":"IEEEAccess"},{"issue":"16","key":"10.3233\/JIFS-223218_ref85","doi-asserted-by":"crossref","first-page":"6121","DOI":"10.3390\/s22166121","article-title":"Fault prediction based on leakage current in contaminated insulators using enhanced time series forecasting models","volume":"22","author":"Sopelsa Neto","year":"2022","journal-title":"Sensors"},{"issue":"23","key":"10.3233\/JIFS-223218_ref86","doi-asserted-by":"crossref","first-page":"5667","DOI":"10.1049\/iet-gtd.2020.0814","article-title":"Hybrid deep learning for power generation forecasting in active solar trackers","volume":"14","author":"Stefenon","year":"2020","journal-title":"IET Generation, Transmission & Distribution"},{"issue":"21","key":"10.3233\/JIFS-223218_ref87","doi-asserted-by":"crossref","first-page":"8323","DOI":"10.3390\/s22218323","article-title":"Wavelet LSTM for fault forecasting in electrical power grids","volume":"22","author":"Branco","year":"2022","journal-title":"Sensors"}],"updated-by":[{"DOI":"10.3233\/jifs-219433","type":"retraction","label":"Retraction","source":"retraction-watch","updated":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T00:00:00Z","timestamp":1724371200000},"record-id":"63059"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-223218","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:45:18Z","timestamp":1777455918000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-223218"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,1]]},"references-count":61,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.3233\/jifs-223218","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,1]]}}}