Soft Computing and Signal Processing

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Geliefert zwischen Fr., 26.12.2025 und Mo., 29.12.2025

Details

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Seventh International Conference on Soft Computing and Signal Processing (ICSCSP 2024), 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.


Gathers the outcomes of the ICSCSP 2024, held in Hyderabad, India, in June 2024 Offers a reference guide for researchers and practitioners in academia and industry Presents research works in the field of soft computing and signal processing

Autorentext

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 undertaken several consultancy works in Nanga Sengaih Micro Hydro Project, KKLW, RM 1,700,000.00, 2011,Semulung Ulu Micro Hydro Project, KKLW, RM 1,600,000.00, 2011,Assum Micro Hydro Project, RM 3,500,000.00, 2013,Bario Micro Hydro Project, RM4,000,000.00, 2013,Study of Illegal Parabola Dish within Community in Sarawak, MCMC, RM345,000.00, 2015,Development of Sago Palm Detection and Quantification using Drone and Deep Learning, CRAUN Research, RM85,000 2019,Development of Reverse Osmosis Performance Monitoring based on IoT and Artificial Intelligence, Biomedix Solutions Sdn Bhd, RM180,000. 2020,A holistic Approach to Accelerate Sarawak in Embracing Digital Technology Advancement, SDEC, 2020, RM80,000,Study on Transformation of Unit Pendaftaran Kontraktor dan Juruperunding (UPKJ) Towards World Class Service Delivery, State Goverment, RM921,000.00, 2021.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. Real-time Landslide Monitoring and Alert System based on IoT and Big Data, Silver Medal Award at INTEX 16 for Wrist Module as an Applied Health Monitoring System in Wireless Today Area Network, Bronze Medal Award at INTEX 17 for Wearable Body Posture Monitoring System and Bronze Medal Award 16. Pump as Turbine with Rounded Leading Edge Impeller for Microhydro System.


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 Bachelors 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. He is an accomplished, visionary leader recognized for delivering safe, inclusive, and student-focused learning environment whilst ensuring a school culture that encourages continuous improvement for teachers and students. He won a prize in GovHack, Australia's largest open government and open data hackathon, 2019.His core competencies include Superior aptitude to strategies, execute and deliver tangible, measurable results that support and enable the organization to achieve its academic goals and objectives, experienced in supervising higher degree research projects made possible by exceptional project management skills, extensive experience in providing academic leadership to staff members and leading and facilitating research and scholarly activities in line with the established vision, mission, values and objectives of the Institution. He has a robust record of team leadership, subject matter expertise, and relationship management and committed to delivering high quality education consistently.


Dr. Madhavee Latha Yaratha was awarded Doctorate in Electronics & Communication Engineering by JNT University, Hyderabad, India, January 2009. She has pursued her Masters in Digital syst


Inhalt

5G MIMO Antenna Design for Bandwidth Enhancement using Split Ring Resonator.- Real-Time Violence Detection and Alert System using MobileNetV2 and Telegram Bot.- An analysis on the capacity of the convolutional neural network and the current neural network to identify vocal problems.- Recent Advances in Diabetic Monitoring Devices: Present to Future Directions.- Navigating the Digital Realm: E-Visual Online Examination for the Visually Challenged.- The evaluation of data aggregation and compression in WSN routing networks using the best clustering methods.- Improved AODV Routing Protocol Development and Analysis for Enhanced Network Performance In MANETs Based On Machine Learning Model.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09789819799251
    • Genre Technology Encyclopedias
    • Editor Hushairi Zen, S. Srinivasa Rao, Y. Madhavee Latha, Naga M. Dasari
    • Lesemotiv Verstehen
    • Anzahl Seiten 740
    • Herausgeber Springer Nature Singapore
    • Größe H235mm x B155mm x T37mm
    • Jahr 2025
    • EAN 9789819799251
    • Format Kartonierter Einband
    • ISBN 9819799252
    • Veröffentlichung 17.05.2025
    • Titel Soft Computing and Signal Processing
    • Untertitel Proceedings of 7th ICSCSP 2024, Volume 2
    • Gewicht 1235g
    • Sprache Englisch

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