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ICDSMLA 2021: Proceedings of the 3rd International Conference on Data Science, Machine Learning and Applications: Lecture Notes in Electrical Engineering, cartea 947

Editat de Amit Kumar, Sabrina Senatore, Vinit Kumar Gunjan
en Limba Engleză Hardback – 7 feb 2023
This book gathers selected high-impact articles from the 3rd International Conference on Data Science, Machine Learning & Applications 2021. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
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Specificații

ISBN-13: 9789811959356
ISBN-10: 9811959358
Pagini: 901
Ilustrații: XIV, 901 p. 560 illus., 395 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.66 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

Cuprins

Road accident detection and indication system.- Attendance System based on Face Recognition using Haar Cascade and LBPH Algorithm.- Different Thresholding Techniques in Image processing : A Review.- Dynamic Weighting Selection for Predictive Torque and Flux Control of Industrial Drives.- Population Index and Analysis based on different geographies; Using distance measurement, Social Distancing, and Deep Learning.- On the discriminability of samples using binarized ReLU activations.- A Detailed Review of Supervised and Unsupervised Machine Learning Approaches.- Skin Cancer Classification using Deep Learning.- Crop Yield Prediction using Deep Learning.- Real Time Tweets Streaming and Comparison Using Naïve Bayes Classifier.- Smart Shopping Trolley for Billing System.- A Survey on IoT Protocol in Real Time Applications and its Architectures.- Safe Characteristic Signature Systems with Different Jurisdiction using Block Chain in E-Health Records.- Web based trash segregation using deep learning algorithm.- Home Automation Using Face Recognition for Wireless Security.- Hybrid-network intrusion detection (H-NID) model using machine learning techniques (MLTs).- Impact of Using Partial Gait Energy Images for Human Recognition by Gait Analysis.- Several Routing Protocols, Features and Limitations for WMN (Wireless Mesh Network) : A Review.- A deep meta-model for environmental sound recognition.- Spatial Computing: Next Big Thing of Physical and Digital World.

Notă biografică

Amit Kumar is a DNA Forensics Professional, Entrepreneur, Engineer, Bioinformatician and an IEEE Volunteer. In 2005 he founded first Private DNA Testing Company Bio Axis DNA Research Centre (P) Ltd in Hyderabad, India with an US Collaborator. He has vast experience of training 1000+ Crime investigation officers and helped 750+ Criminal and non-criminal cases to reach justice by offering analytical services in his laboratory. His group also works extensively on Genetic Predisposition risk studies of cancers and has been helping many cancer patients from 2012 to fight and win the battle against cancer. Amit was member of IEEE Strategy Development and Environmental Assessment committee (SDEA) of IEEE MGA. He is senior member of IEEE and has been a very active IEEE Volunteer at Section, Council, Region, Technical Societies of Computational Intelligence and Engineering in Medicine and Biology and at IEEE MGA levels in several capacities. He has driven number of IEEE Conferences, Conferenceleadership programs, Entrepreneurship development workshops, Innovation and Internship related events. Amit was Chairman of IEEE Hyderabad section in 2020 and He was visiting Professor at SJB Research Foundation till 2020. He was awarded the prestigious IEEE MGA Achievement award in 2020 for the outstanding contributions at Section, Council and Region levels. Currently He is member of IEEE MGA Nominations and Appointments committee and Chairman of IEEE Region 10 Section Chapter committee. He was winner of IEEE MGA Achievement award and IEEE India council outstanding volunteer award in 2020.

Sabrina Senatore (Member, IEEE) received the M.S. and Ph.D. degrees in computer science from the University of Salerno, Fisciano, Italy, in 1999 and 2004, respectively. Since 2005, she has been a Faculty Member with the University of Salerno, where she is currently a Full Professor of Computer Science. Her current research interests include the development and application of intelligent systems based on the combination of techniques from soft computing, computational intelligence, text mining, information retrieval, semantic Web, and intelligent agents, areas in which she has published extensively. Prof. Senatore is an Associate Editor of Information Science (Elsevier) and IEEE Transactions on Cybernetics. She is the Chair of IEEE CIS Task Force on Intelligent Agents and a member of the IEEE CIS Intelligence Society Task Force: Fuzzy Systems for Web Intelligence. She is also an Editorial Board Member of the Applied Intelligence Journal and International Journal of Computational Intelligence Theory and Practice. She has been a TPC member of several international conferences and has served as a reviewer for many peer-reviewed scientific journals.

Vinit Kumar Gunjan is Associate Professor in Department of Computer Science & Engineering and Dean of Academic affairs at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad). An active researcher; published research papers in IEEE, Elsevier & Springer Conferences, authored several books and edited volumes of Springer series, most of which are indexed in SCOPUS database. Awarded with the prestigious Early Career Research Award in the year 2016 by Science Engineering Research Board, Department of Science & Technology Government of India. Senior Member of IEEE, An active Volunteer of IEEE Hyderabad section; 2021 additional secretary; 2021 Vice Chairman - IEEE Computational Intelligence Society; volunteered in the capacity of Treasurer, Secretary & Chairman of IEEE Young Professionals Affinity Group & IEEE Computer Society. Was involved as organizer in many technical & non-technical workshops, seminars & conferences of IEEE & Springer. During the tenure he had an honour of working with top leaders of IEEE and awarded with outstanding IEEE Young Professional award in 2017 by IEEE Hyderabad Section. 

Textul de pe ultima copertă

This book gathers selected high-impact articles from the 3rd International Conference on Data Science, Machine Learning & Applications 2021. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.

Caracteristici

Highlights recent advances in artificial intelligence, machine learning, soft computing Discusses the applications of new emerging technologies for professionals and researchers alike Includes selected articles from the 3rd International Conference on Data Science & Machine Learning 2021