LEADER 04545nam 22005775 450 001 9910483560403321 005 20200702140031.0 010 $a3-030-38445-4 024 7 $a10.1007/978-3-030-38445-6 035 $a(CKB)4100000010480287 035 $a(MiAaPQ)EBC6111644 035 $a(DE-He213)978-3-030-38445-6 035 $a(PPN)243769660 035 $a(EXLCZ)994100000010480287 100 $a20200204d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModern Approaches in Machine Learning and Cognitive Science: A Walkthrough $eLatest Trends in AI /$fedited by Vinit Kumar Gunjan, Jacek M. Zurada, Balasubramanian Raman, G. R. Gangadharan 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (vi, 245 pages) $cillustrations 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v885 311 $a3-030-38444-6 320 $aIncludes bibliographical references. 327 $aFace Recognition using Raspberry PI -- Features Extraction for Network Intrusion Detection using Genetic Algorithm(GA) -- Chemical Sensing through Cogno-Monitoring System for Air Quality Evaluation -- 3 DOF Autonomous Control Analysis of an Quadcopter Using Artificial Neural Network -- Cognitive Demand Forecasting with Novel Features using Word2Vec and Session of the Day -- A Curvelet Transformer Based Computationally Efficient Speech Enhancement for Kalman Filter -- Dexterous Trashbot -- Automated Question Generation and Answer Veri?cation using Visual Data -- Comprehensive Survey on Deep Learning Approaches in Predictive Business Process Monitoring -- Machine Learning Based Risk-Adaptive Access Control System to Identify Genuineness of the Requester -- An Approach to End to End Anonymity -- PHT and KELM Based Face Recognition -- Link Failure Detection in MANET: A Survey -- Review of Low Power Techniques for Neural Recording Applications -- Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review -- Heuristic Approach to Evaluate the Performance of Optimization Algorithms in VLSI Floor Planning for ASIC design -- Enhancement in Teaching Quality Methodology by Predicting Attendance using Machine Learning Technique -- Improvement in Extended Object tracking with the Vision-Based Algorithm. 330 $aThis book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v885 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.31 676 $a006.31 702 $aGunjan$b Vinit Kumar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZurada$b Jacek M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRaman$b Balasubramanian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGangadharan$b G. R$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483560403321 996 $aModern approaches in machine learning and cognitive science$92494850 997 $aUNINA