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020 _a9783030384456
024 7 _a10.1007/978-3-030-38445-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
041 0 _aeng
050 4 _aQ325.75
_b2020 EB
245 0 0 _aModern Approaches in Machine Learning and Cognitive Science : A Walkthrough
_bLatest Trends in AI
_cedited by Vinit Kumar Gunjan, Jacek M. Zurada, Balasubramanian Raman, G. R. Gangadharan.
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing :
_bImprint Springer
_c2020
300 _a1 recurso en línea (VI, 245 páginas)
_b129 ilustraciones, 95 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v885
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _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 Verification 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.
520 3 _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.
988 _aPrimersemestre_2020_Robotics
650 7 _2embne
_aAprendizaje automático
_9166090
650 7 _2embne
_aInteligencia artificial
_9413115
700 1 _aGunjan, Vinit Kumar.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aZurada, Jacek M.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRaman, Balasubramanian.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGangadharan, G. R.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030384449
776 0 8 _iPrinted edition:
_z9783030384463
776 0 8 _iPrinted edition:
_z9783030384470
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-38445-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
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998 _b03/2020
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