Advances in AI for Biomedical Instrumentation, Electronics and Computing: Proceedings of the 5th International Conference on Advances in AI for Biomedical Instrumentation, Electronics and Computing (ICABEC - 2023), 22–23 D

This book contains the proceedings of 5th International Conference on Advances in AI for Biomedical Instrumentation, Electronics and Computing (ICABEC - 2023), which provided an international forum for the exchange of ideas among researchers, students, academicians, and practitioners. It presents original research papers on subjects of AI, Biomedical, Communications & Computing Systems. Some interesting topics it covers are enhancing air quality prediction using machine learning, optimization of leakage power consumption using hybrid techniques, multi-robot path planning in complex industrial dynamic environment, enhancing prediction accuracy of earthquake using machine learning algorithms and advanced machine learning models for accurate cancer diagnostics. Containing work presented by a diverse range of researchers, this book will be of interest to students and researchers in the fields of Electronics and Communication Engineering, Computer Science Engineering, Information Technology, Electrical Engineering, Electronics and Instrumentation Engineering, Computer applications and all interdisciplinary streams of Engineering Sciences.

Table of Contents:
Category 1 AI Based Biomedical Instrumentation 1 Signal Processing and Image Analysis for Biomedical Instrumentation Topics related to processing and analyzing medical signals and images using AI, such as ECG, EEG, MRI, and CT scans 2 Wearable and Implantable Medical Devices and Systems Focus on the design, development, and application of AI in wearable and implantable medical devices, such as smart sensors, pacemakers, and artificial limbs 3 Intelligent Medical Robotics and Automation This track explore the use of AI and machine learning in medical robotics and automation, including robotic surgery, drug delivery, and patient monitoring 4 Human Machine Interfaces and Brain Computer Interfaces This track cover the development and application of AI based human machine and brain computer interfaces in healthcare Category 2 Applications of AI and ML for Electronics and Signal Processing 6 Machine Learning and Data Analytics for Biomedical Applications This track cover the application of AI and machine learning in biomedical data analysis and decision making, such as disease diagnosis, prognosis, and treatment planning 7 Big Data and Cloud Computing for Biomedical Applications This track could focus on the use of AI and cloud computing in handling and analyzing large scale biomedical data, such as genomics, proteomics, and electronic health records 8 Healthcare Information Systems and Electronic Health Records explore the use of AI and machine learning in managing and analyzing electronic health records and healthcare information systems, including clinical decision support systems and disease registries Category 3 Generalized Tracks for Space Technologies, Electronics Engineering, and Image Processing 9 Space based Medical Technologies and Satellite Program This track cover the use of AI and machine learning in designing and developing medical technologies for space applications, such as remote diagnosis and Health Monitoring, Space based Medical Technologies 10 Electronic Circuits and devices for Biomedical Applications This track explore the application of electronic engineering principles, circuits and techniques in biomedical research and healthcare 11 Image Processing for Biomedical Applications This track focus on the use of image processing techniques in biomedical research and healthcare, including medical image analysis and computer aided diagnosis 12 Drug Discovery and Development This track includes the development of various drug discoveries for medical applications