Soft Computing and Signal Processing
Description
This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Eighth International Conference on Soft Computing and Signal Processing (ICSCSP 2025), organized by Malla Reddy College of Engineering & Technology, Hyderabad, India. The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms, and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation, and application issues.
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Persons
Dr. Hushairi Zen was awarded his Doctoral degree from Edith Cowan University, Australia in the area of Wireless Communication Networking and Protocol. He has pursued his Masters in Telecommunications from Universiti Malaysia Sarawak (UNIMAS). He has pursued his degree bachelor's degree in Electronics and Telecommunication at Universiti Malaysia Sarawak (UNIMAS). His areas of expertise are Wireless Communication, Internet of Things, Renewable Energy. He has over 70 publications in several National and International Journals, Conferences and book Chapters. He has won the gold medal Award at INTEX 2022.
Dr. Naga M Dasari was awarded Doctorate in Computational Neuroscience by the University of South Australia in 2016. He has pursued Master of Technology (Digital Systems and Computer Electronics) at Jawaharlal Nehru Technological University (JNTU), India, 1997. He has pursued his Bachelor of Technology in Electronics and Communication Engineering from Jawaharlal Nehru Technological University (JNTU), India. He is presently working as a Professor at Federation University, Ballarat VIC 3353. He is a highly qualified and experienced academic professional known for a combination of holistic teaching & research skills, academic leadership capabilities, and interpersonal strengths. He has extensive experience in Curriculum Development and Implementation, Course Coordination and Delivery, Teaching, Education Administration and research gained from over 25 years of employment history in the academics.
Dr. Madhavee Latha Yaratha was awarded Doctorate in Electronics & Communication Engineering by JNT University, Hyderabad, India, January 2009. She has pursued her master's in digital systems & computer Electronics" from JNT University College of Engineering, Hyderabad, India,2002-2004.She has pursued her Bachelor of Technology in Electronics& Communication Engineering" from JNT University College of Engineering, Hyderabad, India. Her Research Interests lies in the areas of. She has a vast experience of 22 years at various levels of Academic and Administrative Positions. She is presently working as Professor of ECE & Principal at Malla Reddy Engineering College for Women since July2010.She served as "Professor & Head", Department of ECE, Hyderabad at Malla Reddy College of Engineering & Technology. She has worked at G Narayanamma Institute of Technology & Science, Department of ECE, Hyderabad for a period of 10 Years. She has many Awards to her credit.
Dr. S Srinivasa Rao was awarded Doctorate in Electronics & Communication Engineering by JNT University, Hyderabad, India, January 2013. He has pursued his master's in digital systems & computer Electronics" from JNT University College of Engineering, Hyderabad, India,2002-2004. He has pursued his Bachelor of Technology in Electronics & Communication Engineering" from Madras Institute of Technology, Anna University. He is a Research Guide for PhD Scholars at Lincoln University, Kualalumpur, Malaysia, PhD Examiner for Anna University, Chennai and is a Reviewer for Springer, Elsevier International Journals. He has over 24 years of Teaching Experience.
Content
Development of AI/ML Based Solution for Detection of Face-Swap Based Deep Fake Videos.- HybridHeartGAN A GAN Framework for Cross Domain Whole Heart Segmentation in MRI and CT.- Development of an Audio to Sign Language Converter Tool to Enhance Communication for Hearing Impaired Individuals.- Automated Risk Prediction and Medical Document Analysis for Health Insurance Underwriting Using Machine Learning and NLP.- Enhancing Image Classification with Deep Learning through Data Augmentation Techniques.