This book includes peer-reviewed articles from the 1st International Conference on Intelligent Healthcare and Computational Neural Modelling (ICIHCNN2022), held on November 30, 2022, at Dehradun, India. It covers the latest research trends and developments in areas of Data Science, Artificial Intelligence, Neural Networks, Cognitive Neuroscience and Machine Learning Applications, Cyber-Physical Systems, and Cybernetics.
A Comparative study on Melanoma detection using machine learning
paradigm.- Crop Recommendation System Using Machine Learning Algorithms.-
Movie Recommendation System Using Deep Learning.- A New Switched Capacitor
based Five-Level Inverter for PV Applications.- Multilingual Text
Identification using NLP and Machine Learning.- A Single Source based
Switched capacitor Nine-Level Boost Inverter with a Low Switch Count and
SelfBalanced Capacitors.- IoT based Automatic Forest Fire Extinguisher.-
Modeling of Voltage Droop Control in DC Microgrid for Voltage Profile
Improvement.- Compact Transformer Neural Network for Pulmonary Disease
Classification from Radiological Imaging.- Performance Investigation of Five
Level Cascaded Multilevel Inverter based Solar PV System with Charge Balance
Control.- Power System Stability Constrained Contingency Ranking using Game
Theory.- Artificial Neural Network Based Contingency Ranking Using Line
Voltage Stability Index.- Techniques of Applied Linguistics for Language
Teaching Learning.- Methodology for Sustainable Equity of Livelihood and
Right-of-Way to Technology.- Automatic Brain Tumor Classification using
Transfer Learning.- Early Disease Prediction Detection of Blast in Oryza
Sativa.- Octave and Level Sampling based Medical Image Registration using
Maximum Dominance.- Deep Learning for Kidney MRI Image Analysis.- Parkinsons
Disease Detection and Classification Through Gait Analysis.- Analysis of the
Performance of a PMDC-Based EV during Regenerative Breaking.- Reduced Switch
Count Multilevel inverters.- Design and Analysis of Six Phase Induction Motor
using Wind Driven Optimization.- Intelligent Shopping Carts for Mall
Automation.- Block chain-Embellished Cloud Data Security.- Implementation of
Pectoral removal with Hybridization of MSER Pectoral and Hough Pectoral
methods.- Attention-based Gated Recurrent Networks for Parkinsons Disease
Detection through Voice Patterns.- Classification of Brain Tumors from MRI
Images Utilizing a Convolutional Neural Network.- Non-Gaussian Noise
Detection by Machine learning Algorithm for Multispectral Satellite Images.-
FPGA-based IC design for ECG monitoring signals generation.- Novel
synchronous counters using flip flops for low power applications.-
Intelligent Seasonal Palm Agriculture Systems for Better Health.- Privacy
Preserving and Detection of EEG signals using Machine Learning methods.-
Secure Communication Protocol for Maintaining Health care Data in Modern IoT
Applications.- Convolutional neural network for Classification of Image-based
malware: A Deep Learning.- Prophesising of Cardiovascular Disease Using
Decision Tree Classification Algorithm.- Analysing Tweets Based On Emotions.-
A Comparative Study of Deep Learning Models with Transfer Learning for Liver
Tumor Classification.- The Prevalence of Emotional Stress among
Undergraduates during Online Sessions at Government Colleges, Telangana-
Analytical Study.- The Impact of Self-Concept among the Secondary School
Students with Intellectual Disabilities.- Breast Cancer Detection using
Ensemble Learning Model.- Design and Simulation of Glass Shaped Patch Antenna
Array with Circular Slots for Wireless Applications.
Dr. Ninni Singh obtained her Ph.D. in Computer Science and Engineering from the University of Petroleum and Energy Studies, Dehradun, Uttarakhand. She is currently working as Associate Professor in the Computer Science and Engineering Department at CMR Institute of Technology (Autonomous), Hyderabad. Dr. Singh has published many technical articles in refereed journals and international conferences. Her areas of interest are artificial intelligence, expert system, artificial neural network, cryptography and network security, distributed system, and wireless sensor and mesh network.
Dr. Ali Kashif Bashir is Reader of Networks and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, UK. He is also serving as Program Leader for B.Sc. Cyber Forensics and Security and B.Sc. Cyber Security. He also enjoys adjunct and honorary affiliations of the University of Electronics Science and Technology of China (UESTC), China; University of Science and Technology, Islamabad (NUST), Pakistan; and the University of Guelph, Canada. He received his Ph.D. in Computer Science and Engineering from Korea University, South Korea, and his M.S. from Ajou University, South Korea. His research includes the Internet of Things, network communication, cyber security, distributed systems, machine learning, and smart infrastructures.
Professor Seifedine Kadry obtained his Ph.D. in 2007 from Blaise Pascal University (France). At present, his research focuses on data science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is ABET Program Evaluator for computing and ABET Program Evaluator for Engineering Tech. He is Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is Distinguished Speaker of IEEE Computer Society.
Dr. Yu-Chen Hu received his Ph.D. in Information Engineering from National ChungCheng University. He is currently Researcher at the Department of Computer Science and Information Management, Providence University, Taiwan. His research interests are in the areas of Information Engineering, Information Hiding, Image Processing, and Image Compression.
