MARC Record from marc_columbia

LEADER: 08121cam a2200709 i 4500
001 15672165
005 20220604235027.0
006 m o d
007 cr cnu---unuuu
008 210413t20222022flua ob 001 0 eng
010 $a 2021017099
035 $a(OCoLC)on1248599771
035 $a(NNC)15672165
040 $aDLC$beng$erda$cDLC$dOCLCO$dOCLCF$dTYFRS$dUKAHL$dUKMGB$dYDX$dN$T$dOCLCO
015 $aGBC1D3020$2bnb
016 7 $a020291354$2Uk
020 $a9781003138020$qelectronic book
020 $a1003138020$qelectronic book
020 $a1000455688$qelectronic book
020 $a9781000455670$qelectronic book
020 $a100045567X$qelectronic book
020 $a9781000455687$q(electronic bk.)
020 $z9780367685423$qhardcover
020 $z9780367685454$qpaperback
024 7 $a10.1201/9781003138020$2doi
035 $a(OCoLC)1248599771
037 $a9781003138020$bTaylor & Francis
042 $apcc
050 04 $aQ325.5$b.H295 2022
072 7 $aTEC$x029000$2bisacsh
072 7 $aUY$2bicssc
082 00 $a006.3/1$223
049 $aZCUA
245 00 $aHandbook of machine learning for computational optimization :$bapplications and case studies /$cedited by Vishal Jain, Sapna Juneja, Abhinav Juneja, and Ramani Kannan.
264 1 $aBoca Raton, FL :$bCRC Press,$c2022.
264 4 $c©2022
300 $a1 online resource (xiv, 280 pages) :$billustrations (some color).
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 0 $aDemystifying technologies for computational excellence : moving towards society 5.0
504 $aIncludes bibliographical references and index.
505 2 $aRandom variables in machine learning / Dr. Piratla Srihari -- Analysis of EMG signals using extreme learning machine with nature inspired feature selection techniques / A. Anitha and Bakiya Ambikapathy -- Detection of breast cancer by using various machine learning and deep learning algorithms / Yogesh Jadhav, Harsh Mathur -- Assessing the radial efficiency performance of bus transport sector using data envelopment analysis / Swati Goyal, Shivi Agarwal, Trilok Mathur and Nirbhay Mathur.
520 $a"Technology is moving at an exponential pace in this era of computational intelligence. Machine Learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques. This handbook focuses on new Machine Learning developments that can lead to newly developed applications. It uses a predictive and futuristic approach which makes Machine Learning a promising tool for processes and sustainable solutions. It also promotes newer algorithms which are more efficient and reliable for new dimensions in discovering other applications and then goes on to discuss the potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making. Individuals looking for Machine Learning based knowledge will find interest in this handbook. The readership ranges from undergraduate students of engineering and allied courses to researchers, professionals, and application designers"--$cProvided by publisher.
545 0 $aVishal Jain is an Associate Professor in Deptt. of CSE at Sharda University, Greater Noida, India. He has earlier worked with Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi, India (affiliated with Guru Gobind Singh Indraprastha University, and accredited by the All India Council for Technical Education). He first joined BVICAM as Assistant Professor. Before that, he has worked for several years at the Guru Presmsukh Memorial College of Engineering, Delhi, India. He has more than 350 research citation indices with Google scholar (h-index score 9 and i-10 index 9). He has authored more than 70 research papers in reputed conferences and journals including Web of Science and Scopus. He has authored and edited more than 10 books with various reputed publishers including Springer, Apple Academic Press, Scrivener, Emerald and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, adhoc networks, and sensor networks. He has recipient a Young Active Member Award for the year 2012-13 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi. Sapna Juneja is Professor in IMS, Ghaziabad, India. Earlier she has worked as Professor in Deptt. of CSE at IITM Group of Institutions and BMIET, Sonepat. She has more than 16 years of teaching experience. She completed her doctorate and masters in Computer Science and Engineering from M.D.University, Rohtak in 2018 and 2010 respectively. Her broad area of research is Software Reliability of Embedded System. Her areas of interest include Software Engineering, Computer Networks, Operating System, Database Management Systems, and Artificial Intelligence etc. She has guided several research thesis of UG and PG students in Computer Science and Engineering. She is editing book on recent technological developments. Abhinav Juneja is currently working as Professor in Deptt. of IT at KIET Group of Institutions, Delhi-NCR, Ghaziabad, India. Earlier, he has worked as Associate Director & Professor in Deptt of CSE at BMIET, Sonepat. He has more than 19 years of teaching experience for post graduate and under graduate engineering students. He completed his Doctorate in Computer Science and Engineering from M.D.University, Rohtak in 2018 and has done masters in Information Technology from GGSIPU, Delhi. He has research interests in the field of Software Reliability, IoT, Machine Learning and soft computing. He has published several papers in reputed national and international journals. He has been reviewer of several journals of repute and has been in various committees of international conferences. Ramani Kannan is currently working as Senior Lecturer, Center for Smart Grid Energy Research, Institute of Autonomous system. University Teknologi PETRONAS (UTP), Malaysia. Dr. Kanan completed Ph.D. (Power Electronics and Drives) from Anna University, India in 2012, M.E. (Power Electronics and Drives) from Anna University, India in 2006, B.E (Electronics and Communication) from Bharathiyar University, India in 2004. He has more than 15 years of experience in prestigious educational institutes. Dr. Kanan has published more than 130 papers in various reputed nation and international journals and conferences. He is the editor, co-editor, guest editor and reviewer of various books including Springer Nature, Elsevier etc. He has received award for best presenter in CENCON 2019, IEEE Conference on Energy Conversion (CENCON 2019) Indonesia.
588 $aDescription based on online resource; title from digital title page (viewed on December 14, 2021).
650 0 $aMachine learning$xIndustrial applications.
650 0 $aMathematical optimization$xData processing.
650 0 $aArtificial intelligence.
650 6 $aApprentissage automatique$xApplications industrielles.
650 6 $aOptimisation mathématique$xInformatique.
650 6 $aIntelligence artificielle.
650 7 $aartificial intelligence.$2aat
650 7 $aTECHNOLOGY / Operations Research$2bisacsh
650 7 $aArtificial intelligence.$2fast$0(OCoLC)fst00817247
650 7 $aMachine learning$xIndustrial applications.$2fast$0(OCoLC)fst01004799
650 7 $aMathematical optimization$xData processing.$2fast$0(OCoLC)fst01012101
655 4 $aElectronic books.
700 1 $aJain, Vishal,$d1983-$eeditor.
776 08 $iPrint version:$tHandbook of machine learning for computational optimization$dBoca Raton : CRC Press, 2021$z9780367685423$w(DLC) 2021017098
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15672165$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS