International Conference on Artificial Intelligence and Sustainable Engineering: Select Proceedings of AISE 2020, Volume 2: Lecture Notes in Electrical Engineering, cartea 837
Editat de Goutam Sanyal, Carlos M. Travieso-González, Shashank Awasthi, Carla M.A. Pinto, B. R. Purushothamaen Limba Engleză Hardback – 8 apr 2022
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Specificații
ISBN-13: 9789811685453
ISBN-10: 9811685452
Pagini: 500
Ilustrații: XII, 500 p. 290 illus., 204 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.89 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering
Locul publicării:Singapore, Singapore
ISBN-10: 9811685452
Pagini: 500
Ilustrații: XII, 500 p. 290 illus., 204 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.89 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering
Locul publicării:Singapore, Singapore
Cuprins
Drowsiness Detection System using Open CV and Raspberry Pi: An IoT Application.- Deep Multi-Agent Reinforcement Learning for Tag Game.- A Proposed Framework to Achieve CIA in IoT Networks.- Localization in Underground Area Using Wireless Sensor Networks with Machine Learning.- Master-Slave Robots Using Swarm Intelligence.- An IoT Based Approach in Automatic Garbage Segregation to Develop an Intelligent Garbage Segregator.- Multi-View Deep Learning for Weather Recognition.- Optimizing Gender Detection Using Deep Learning Technique for Android Devices.- A Critical Analysis of VQA Models and Datasets.- Impact on Steady-State Security of Power System using TCSC.
Notă biografică
Dr. Goutam Sanyal has served as the Head of the Department of Computer Science & Engineering at the National Institute of Technology (NIT) Durgapur, India. He received B. Tech. and M.Tech. from NIT, Durgapur, and Ph.D. (Engg.) from Jadavpur University, Kolkata, in robot manipulator path planning. He holds over 35 years of experience in the field of teaching, research, and administration. He has published nearly 200 papers in reputed international journals and conferences. He has guided 22 Ph.D. scholars in steganography, wireless sensor networks, computer vision, natural language processing. He has supervised more than 40 PG and 300 UG theses. He is a co-author of a book in Computer Graphics and Multimedia and 8 Book chapters. He is a regular Member of IEEE, a Life Member of CSI, and a Fellow of IEI. His biography has been selected for inclusion in Marquis Who's Who in the World 2016, 2017, 2018, 2019, and 2020 Edition.
Carlos M. Travieso-González is aFull Professor of signal processing and pattern recognition and head of the signals and communications department at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain, and a Ph.D. degree in 2002 at ULPGC. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched 51 international and Spanish research projects. He has 04 authored books, 24 edited books, 440 journal papers, and 07 patents in Spanish Patent and Trademark Office published to his credit. He has been a supervisor on 8 Ph.D. Thesis (12 more are under supervision), and 130 Master Thesis.
Dr. Shashank Awasthi is a professor in the computer science and engineering department of GL Bajaj Institute of Technology & Management, India. He holds a Ph.D. degree in Computer Science & Engineering and M.Tech. in Computer Science & Engineering from Dr. APJ Kalam Technical University, Lucknow, and MCA from Dr. BR Ambedkar University Agra. His area of interest is wireless sensor networks. He is having more than 18 years of experience in teaching and research. He has published over 30 research papers in international journals/conferences of repute. He is a member of IEEE and the International Association of Engineers, Hong Kong. He is a member of the Editorial Board of various reputed International Journals.
Carla M.A. Pinto is an adjunct professor at the school of engineering at Polytechnic of Porto. She completed her Doctorate in Mathematics in 2004 from Universidade do Porto Faculdade de Ciências, Portugal. Prof. Pinto published over 46 articles in high-impact peer-review journals and more than 50 in international peer-reviewed conferences. She works in the area of applied mathematics with a focus on epidemiology and robotics.
B.R. Purushothama obtained his Ph.D. in computer science and engineering from the National Institute of Technology (NIT) Warangal, India, and his M.Tech. in computer science and engineering from the NIT Surathkal, India. He is currently working as an assistant professor of computer science and engineering at NIT Goa, India. He has academic experience of over 16 years. His areas of interest are cryptography & information security, security analytics, cloud security, machine learning applications to Security. He has published several works in peer-reviewed journals and proceedings.
Carlos M. Travieso-González is aFull Professor of signal processing and pattern recognition and head of the signals and communications department at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain, and a Ph.D. degree in 2002 at ULPGC. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched 51 international and Spanish research projects. He has 04 authored books, 24 edited books, 440 journal papers, and 07 patents in Spanish Patent and Trademark Office published to his credit. He has been a supervisor on 8 Ph.D. Thesis (12 more are under supervision), and 130 Master Thesis.
Dr. Shashank Awasthi is a professor in the computer science and engineering department of GL Bajaj Institute of Technology & Management, India. He holds a Ph.D. degree in Computer Science & Engineering and M.Tech. in Computer Science & Engineering from Dr. APJ Kalam Technical University, Lucknow, and MCA from Dr. BR Ambedkar University Agra. His area of interest is wireless sensor networks. He is having more than 18 years of experience in teaching and research. He has published over 30 research papers in international journals/conferences of repute. He is a member of IEEE and the International Association of Engineers, Hong Kong. He is a member of the Editorial Board of various reputed International Journals.
Carla M.A. Pinto is an adjunct professor at the school of engineering at Polytechnic of Porto. She completed her Doctorate in Mathematics in 2004 from Universidade do Porto Faculdade de Ciências, Portugal. Prof. Pinto published over 46 articles in high-impact peer-review journals and more than 50 in international peer-reviewed conferences. She works in the area of applied mathematics with a focus on epidemiology and robotics.
B.R. Purushothama obtained his Ph.D. in computer science and engineering from the National Institute of Technology (NIT) Warangal, India, and his M.Tech. in computer science and engineering from the NIT Surathkal, India. He is currently working as an assistant professor of computer science and engineering at NIT Goa, India. He has academic experience of over 16 years. His areas of interest are cryptography & information security, security analytics, cloud security, machine learning applications to Security. He has published several works in peer-reviewed journals and proceedings.
Textul de pe ultima copertă
This book comprises select papers from the International Conference on Artificial Intelligence and Sustainable Engineering (AISE 2020). The volume focuses on the recent advancements in artificial intelligence and addresses how it is useful in achieving truly sustainable solutions. The key strands of this book include artificial intelligence in healthcare, IoT for modern life, security and surveillance, big data analytics, machine learning and computing, communication technologies, gesture technology, virtual intelligence, and audio & speech processing. The book addresses sustainability challenges in various computing techniques and opportunities for sustainable engineering based on AI and supporting tools such as engineering design for sustainable development using IoT/AI, smart cities: waste minimization, remanufacturing, reuse and recycling technologies using IoT/AI, industry 4.0, intelligent and smart grid systems, energy conservation using technology, green engineering/technology, robotic process automation (RPA) and water and air quality management. This book can be a valuable resource for academicians, researchers, and professionals working in AI and its applications.
Caracteristici
Comprises select papers of the International Conference on Artificial Intelligence and Sustainable Engineering Focuses on the recent advancements in artificial intelligence A valuable resource for academicians, researchers, and professionals working in AI