Cybernetics, Cognition and Machine Learning Applications (eBook, PDF)

Proceedings of ICCCMLA 2020

• Format: PDF

Produktbeschreibung

This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.

Produktdetails

• Verlag: Springer Singapore
• Erscheinungstermin: 30. März 2021
• Englisch
• ISBN-13: 9789813366916
• Artikelnr.: 61380950

Autorenporträt

Vinit Kumar Gunjan is an Associate Professor in the Department of Computer Science & Engineering at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad) and an active researcher; he 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. He is 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 and an active Volunteer of IEEE Hyderabad section – he is presently serving as secretary for IEEE CIS and volunteered in the capacity of Treasurer, Secretary and Chairman of IEEE Young Professionals Affinity Group & IEEE Computer Society. He 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 was awarded with best IEEE Young Professional award in 2017 by IEEE Hyderabad Section.
P N Suganthan is Professor at Nanyang Technological University, Singapore, and Fellow of IEEE. He is a founding Co-Editor-in-Chief of Swarm and Evolutionary Computation (2010–), an SCI Indexed Elsevier Journal. His research interests include swarm and evolutionary algorithms, pattern recognition, forecasting, randomized neural networks, deep learning and applications of swarm, evolutionary & machine learning algorithms. His publications have been well cited (Google Scholar Citations: ~33k). His SCI indexed publications attracted over 1000 SCI citations in a calendar year since 2013. He was selected as one of the highly cited researchers by Thomson Reuters every year from 2015 to 2018 in computer science. He served as the General Chair of the IEEE SSCI 2013. He is an IEEE CIS distinguished lecturer (DLP) in 2018–2020. He has been amember of the IEEE (S'91, M'92, SM'00, Fellow’15) since 1991 and an elected AdCom member of the IEEE Computational Intelligence Society (CIS) in 2014–2016.
Jan Haase is Lecturer at Helmut Schmidt University of the Federal Armed Forces, Hamburg, and temporary professor at the University of Lübeck. He is an active volunteer of IEEE and was IEEE Region 8 conference coordination subcommittee chair in 2013–2014. He was IEEE Austria Section Chair in 2010–2012. His research interests include embedded systems, modelling and simulation, and power estimation.
Amit Kumar, Ph.D., is a passionate Forensic Scientist, Entrepreneur, Engineer, Bioinformatician and an IEEE Volunteer. In 2005, he founded the first Private DNA Testing Company BioAxis 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 justiceby offering analytical services in his laboratory. 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, conference leadership programmes, entrepreneurship development workshops, innovation and internship related events. Currently, he is also a Visiting Professor at SJB Research Foundation and Vice Chairman of IEEE India Council and IEEE Hyderabad Section.

Inhaltsangabe

IOT Smart Locker.- Analysis of Human Activity Recognition.- Lora Based Smart Garbage Alert Monitoring System Using ATMEGA328, 2560,128.- Pre-birth Prognostication of Education and Learning of a Fetus while in the Uterus of the Mother Using Machine Learning.- Performance analysis of Single Stage PV connected Three Phase Grid System under steady state and dynamic conditions.- Delay feedback H-infinity control for neutral stochastic fuzzy systems with time delays.- Modeling Crosstalk of Tau and ROS Implicated in Parkinson's Disease using Biochemical Systems Theory.- IoT enabled Logistics for E-waste Management and Sustainability.- Navigation through proxy measurement of location by surface detection.- Unsupervised learning algorithms for Hydropower’s sensor data.- Feature Construction on moving objects for computer vision in Transfer learning using Neural Networks.- Decoding motor behavior biosignatures of arm movement tasks using electroencephalography.- Type Inference in Java: Characteristics and Limitations.- Detecting COVID-19 using Convolution Neural Networks.- Electroencephalography Measurements and Analysis of Cortical Activations among Musicians and Non-Musicians for Happy and Sad Indian Classical Music.- Signal Processing in Yoga-Related Neural Circuits and Implications of Stretching and Sitting Asana on Brain Function.- Diabetes Mellitus Detection and Diagnosis using AI classifier.- Review on Unit Selection based Concatenation approach in Text to Speech Synthesis System.- Enhancing the Security of Confidential Data using Video Steganography.- Data Mining and Analysis of Reddit User Data.- Analysis of DNA Sequence Pattern Matching: A Brief Survey.- Sensor-Based Analysis of Gait and Assessment of Impacts of Backpack Load on Walking.

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IOT Smart Locker.- Analysis of Human Activity Recognition.- Lora Based Smart Garbage Alert Monitoring System Using ATMEGA328, 2560,128.- Pre-birth Prognostication of Education and Learning of a Fetus while in the Uterus of the Mother Using Machine Learning.- Performance analysis of Single Stage PV connected Three Phase Grid System under steady state and dynamic conditions.- Delay feedback H-infinity control for neutral stochastic fuzzy systems with time delays.- Modeling Crosstalk of Tau and ROS Implicated in Parkinson's Disease using Biochemical Systems Theory.- IoT enabled Logistics for E-waste Management and Sustainability.- Navigation through proxy measurement of location by surface detection.- Unsupervised learning algorithms for Hydropower's sensor data.- Feature Construction on moving objects for computer vision in Transfer learning using Neural Networks.- Decoding motor behavior biosignatures of arm movement tasks using electroencephalography.- Type Inference in Java: Characteristics and Limitations.- Detecting COVID-19 using Convolution Neural Networks.- Electroencephalography Measurements and Analysis of Cortical Activations among Musicians and Non-Musicians for Happy and Sad Indian Classical Music.- Signal Processing in Yoga-Related Neural Circuits and Implications of Stretching and Sitting Asana on Brain Function.- Diabetes Mellitus Detection and Diagnosis using AI classifier.- Review on Unit Selection based Concatenation approach in Text to Speech Synthesis System.- Enhancing the Security of Confidential Data using Video Steganography.- Data Mining and Analysis of Reddit User Data.- Analysis of DNA Sequence Pattern Matching: A Brief Survey.- Sensor-Based Analysis of Gait and Assessment of Impacts of Backpack Load on Walking.