Computational Intelligence and Data Sciences
Paradigms in Biomedical Engineering
- Available for pre-order. Item will ship after February 23, 2022
This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences. Latest evolutionary approaches to solve optimization problems under biomedical engineering field are discussed. It provides conceptual framework with a focus on application of computational intelligence techniques in the domain of biomedical engineering and health informatics including real-time issues.
Table of Contents
1 Performance of Diverse Machine Learning Algorithms for Heart Disease Prognosis 2 Intelligent Ovarian Detection and Classification in Ultrasound Images using Machine Learning Techniques 3 On effective use of Feature Engineering for improving the predictive capability of machine learning models 4 Artificial Intelligence Emergence in Disruptive Technology 5 An Optimal Diabetic Features based Intelligent System to Predict Diabetic Retinal Disease 6 Cross Recurrence Quantification Analysis For Distinguishing Emotions Induced By Indian Classical Music 7 Pattern Recognition and Classification of Remotely Sensed Satellite Imagery 8 Viability of Information and correspondences innovation for the improvement of Communication abilities in the Healthcare Industry 9 Application of 5G/6G Smart Systems to overcome pandemic and disaster situation 10 Risk Perception, Risk Management, and Safety Assessments: A Review of an Explosion in the Fireworks Industry 11 High Utility Itemset Mining: Fundamentals, Properties, Techniques and Research Scope 12 A Corpus based Quantitative Analysis of Gurmukhi Script 13 An analysis of Protein Interaction and its Methods, Metabolite Pathway and Drug Discovery 14 Biosensors for disease diagnosis
Dr. Ayodeji Olalekan Salau is an Assistant Professor in the Department of Electrical/Electronics and Computer Engineering, Afe Babalola University, Ado-Ekiti, Nigeria. He received his B.Eng. in Electrical/Computer Engineering from the Federal University of Technology, Minna, Nigeria. He received the MSc and PhD degrees from the Obafemi Awolowo University, Ile-Ife, Nigeria. His research interests include computer vision, image processing, signal processing, machine learning, power systems engineering, and nuclear engineering. Dr. Salau serves as a Reviewer for several reputable journals. His research has been published in many reputable international conferences, book chapters, and major international journals. He is a registered Engineer with the Council for the Regulation of Engineering in Nigeria (COREN), a member of the International Association of Engineers (IAENG), and a recipient of the Quarterly Franklin Membership with ID number CR32878 given by the Editorial Board of London Journals Press in 2020. Dr. Shruti Jain is Associate Professor in the Department of Electronics and Communication Engineering at Jaypee University of Information Technology, Waknaghat, H.P, India and has received her Doctor of Science (D. Sc.) in Electronics and Communication Engineering. She has a teaching experience of around 15 years. She has filed three patents and published two copyrights. She has published more than 09 book chapters, and 100 research papers in reputed indexed journals and in international conferences. She has also published six books. She has completed two government-sponsored projects. She has guided 06 Ph.D. students and now has 01 registered student. She has also guided 11 M Tech scholars and more than 90 B Tech undergrads. Her research interests are Image and Signal Processing, Soft Computing, Bio-inspired Computing and Computer-Aided Design of FPGA and VLSI circuits. She is a senior member of IEEE, life member and Editor in Chief of Biomedical Engineering Society of India and a member of IAENG. She is a member of the Editorial Board of many reputed journals. She is also a reviewer of many journals and a member of TPC of different conferences. She was awarded by Nation Builder Award in 2018-19. Dr. Meenakshi Sood is currently working as Associate Professor in CDC and Department of ECE, National Institute of Technical Teachers Training & Research (Ministry of Human Resource Development, Govt. of India), Chandigarh, India. She has teaching experience of around 20 years and worked in various institutes of repute. She received her Ph.D. in Biomedical Signal Processing and is Gold Medallist and has been awarded Academic Award for her performance in Master of Engineering (Hons.) from Panjab Univeristy, Chandigarh. She has guided four PhD scholars and around 20 M Tech scholars and more than 100 B Tech undergrads. Her research areas interests are Image and Signal processing, Bio Inspired Computing, Antenna Design, Meta-materials, Soft Computing techniques and Curriculum design and development. She has two government sponsored project currently running under her and has published more than 100 research papers in reputed indexed journals and in International conferences. She has edited three books and authored study material for ICDOEL, H.P University. She is senior member of IEEE, Life member of INTERNATIONAL TECHNICAL SOCIETIES as IE and BMSEI. She is also editor of reputed journals. Member of the Experts Committee for Evaluation of Impact of DST-FIST Scheme. She had been selected as GSE member of Rotary International and visited USA in Exchange Program.