Ayush Dogra – författare

The proceedings of the first International Conference on Smart Computing and Communication for Sustainable Convergence (ISCCSC 2024) present a rich repository of cutting-edge research on smart computing, artificial intelligence and machine learning.It highlights technological breakthroughs and practical challenges in the field of edge learning, data mining, image processing, smart communications, 5G/6G communication networks, signal processing, wireless sensor networks, antenna systems and imaging. It also explores a wide range of communication paradigms, especially those pertaining to smart cities by delving deeper into smart healthcare, smart transportation and intelligent data processing. The findings are instrumental in combating critical global issues and foster a deeper understanding of the role of AI in shaping the world we live in.This will be a highly valuable guide to researchers, data scientists, practicing professionals and students in the fields of artificial intelligence, machine learning and data processing.

This book compiles the proceedings of the Second International Conference on Smart Computing and Communication for Sustainable Convergence (ISCCSC 2025). It brings together high-quality research, practical insights, and scholarly debate in the field of smart computing, artificial intelligence, machine learning, edge learning, data mining, image processing, smart communication, 5G/6G communication networks, signal processing, wireless sensor networks, antenna systems, imaging, and edge intelligence.This volume provides comprehensive coverage of emerging technologies, innovations, and trends shaping modern smart systems. It addresses real-world deployment challenges while presenting effective solutions, offering readers practical insights into communication paradigms essential for smart city ecosystems. Key focus areas include smart healthcare, smart transportation, and intelligent data processing, with detailed analysis of how advanced technologies enhance efficiency, safety, and decision-making.The integration of theoretical concepts with practical applications makes this an invaluable resource for researchers, academicians, industry professionals, and students exploring smart cities and next-generation communication systems.

Explore emerging applications for AI, machine learning, and deep learning in biomedical imaging technologies In Biomedical Imaging Technology, a team of distinguished researchers deliver an expert discussion on the application of imaging and signal processing techniques to healthcare technologies like X-ray, MRI, CT, ultrasound, and others. Beginning with an introduction to biomedical imaging, the book goes on to explain more advanced imaging technologies, such as molecular and optical imaging. This book provides a blend of theory and practical applications, exploring the role of AI and AI algorithms in enhancing diagnostic accuracy. It discusses machine and deep learning approaches for improving computer-aided diagnosis systems and the integration of signal processing within various imaging modalities. Readers will also find: A thorough introduction to contemporary approaches to optical imaging, including fluorescence imaging, photoacoustic imaging, and Optical Coherence Tomography (OCT)Comprehensive explorations of image-guided interventions, theranostics in cancer treatment, and advancements in surgical navigationPractical discussions of emerging trends in the field and up-and-coming innovationsCase studies and practical examples from real-world locationsPerfect for researchers in biomedical engineering, imaging, and signal processing, Biomedical Imaging Technology will also benefit undergraduate and graduate students studying electrical engineering subjects, such as biomedical imaging and signal processing.