001476354 000__ 04590cam\\22006857i\4500 001476354 001__ 1476354 001476354 003__ OCoLC 001476354 005__ 20231003174644.0 001476354 006__ m\\\\\o\\d\\\\\\\\ 001476354 007__ cr\cn\nnnunnun 001476354 008__ 230829s2023\\\\si\a\\\\o\\\\\100\0\eng\d 001476354 019__ $$a1395536682 001476354 020__ $$a9789819937349$$q(electronic bk.) 001476354 020__ $$a9819937345$$q(electronic bk.) 001476354 020__ $$z9819937337 001476354 020__ $$z9789819937332 001476354 0247_ $$a10.1007/978-981-99-3734-9$$2doi 001476354 035__ $$aSP(OCoLC)1395507361 001476354 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCO 001476354 049__ $$aISEA 001476354 050_4 $$aTK7882.P3 001476354 08204 $$a006.4$$223/eng/20230829 001476354 1112_ $$aInternational Conference on Computational Intelligence in Pattern Recognition$$n(5th :$$d2023 :$$cKolkata, India) 001476354 24510 $$aComputational intelligence in pattern recognition :$$bproceedings of CIPR 2023 /$$cAsit Kumar Das, Janmenjoy Nayak, Bighnaraj, S. Vimal, Danilo Pelusi, editors. 001476354 264_1 $$aSingapore :$$bSpringer,$$c[2023] 001476354 300__ $$a1 online resource (750 pages) :$$billustrations (black and white, and colour). 001476354 336__ $$atext$$btxt$$2rdacontent 001476354 337__ $$acomputer$$bc$$2rdamedia 001476354 338__ $$aonline resource$$bcr$$2rdacarrier 001476354 4901_ $$aLecture notes in networks and systems ;$$vvolume 725 001476354 5050_ $$aA New Technique of Cipher Type Identification using Convolutional Neural Networks -- Monthly Rainfall forecasting Using Sequential Models -- Detection and Classification of Dental Caries Using Deep and Transfer Learning -- Method Level Code Smells Detection Using Machine Learning Models -- Performance Investgaton of Svm and Modfed Svm Algorthms for Acute Health Dagnoss -- An Efficient Multifactor Authentication System -- A CNN based approach for Face Recognition under dif-ferent orientations -- A Deep Learning Approach for Detection of Disease in Plant Leaves -- Label Consistency based Modified Sequential Dictionary Learning based Approach for PIR Sensor based Detection of Human Movement Direction -- Machine Learning Based Phishing Detection in Heterogeneous Information Network. 001476354 506__ $$aAccess limited to authorized users. 001476354 520__ $$aThis book features high-quality research papers presented at the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2023), held at Department of Computer Science and Engineering, Techno Main Salt Lake, West Bengal, India, during May 2728, 2023. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics, and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments. 001476354 588__ $$aDescription based on print version record. 001476354 650_0 $$aPattern recognition systems$$vCongresses. 001476354 650_0 $$aArtificial intelligence$$vCongresses. 001476354 650_6 $$aReconnaissance des formes (Informatique)$$vCongrès. 001476354 650_6 $$aIntelligence artificielle$$vCongrès. 001476354 655_0 $$aElectronic books. 001476354 7001_ $$aDas, Asit Kumar$$c(Computer scientist),$$eeditor. 001476354 7001_ $$aNayak, Janmenjoy.$$eeditor. 001476354 7001_ $$aNaik, Bighnaraj.$$eeditor. 001476354 7001_ $$aVimal, S.,$$d1984-$$eeditor. 001476354 7001_ $$aPelusi, Danilo.$$eeditor. 001476354 77608 $$iPrint version:$$tCOMPUTATIONAL INTELLIGENCE IN PATTERN RECOGNITION.$$d[Place of publication not identified] : SPRINGER, 2023$$z9819937337$$w(OCoLC)1380392463 001476354 830_0 $$aLecture notes in networks and systems ;$$vv. 725. 001476354 852__ $$bebk 001476354 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-3734-9$$zOnline Access$$91397441.1 001476354 909CO $$ooai:library.usi.edu:1476354$$pGLOBAL_SET 001476354 980__ $$aBIB 001476354 980__ $$aEBOOK 001476354 982__ $$aEbook 001476354 983__ $$aOnline 001476354 994__ $$a92$$bISE