Cybernetics, Cognition and Machine Learning Applications

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.

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