Deep Neural Networks for Multimodal Imaging and Biomedical Applications

• #1. Emerging Information Technology Scenarios and Their Contributions in Reinventing Future Healthcare Systems: Applications and Practical Systems for Healthcare
• #2. Deep Learning Models for Semantic Multi-Modal Medical Image Segmentation
• #3. Deep Learning Techniques for Biomedical Image Analysis in Healthcare
• #4. Heterogeneous Large-Scale Distributed Systems on Machine Learning
• #5. Impact of Smart Technology and Economic Growth for Biomedical Applications
• #6. Importance of Automation and Next-Generation IoT in Smart Healthcare
• #7. A Comparative Study of Popular CNN Topologies Used for Imagenet Classification
• #8. A Novel Framework on Biomedical Image Analysis Based on Shape and Texture Classification for Complex Disease Diagnosis
• #9. Deep Learning Techniques for Prediction, Detection, and Segmentation of Brain Tumors
• #10. Demystification of Deep Learning-Driven Medical Image Processing and Its Impact on Future Biomedical Applications
• #11. Artificial Intelligence and Reliability Metrics in Medical Image Analysis
• #12. Transforming Biomedical Applications Through Smart Sensing and Artificial Intelligence
• #13. Exploring Internet of Things and Artificial Intelligence for Smart Healthcare Solutions
• #14. The Pivotal Role of Edge Computing With Machine Learning and Its Impact on Healthcare
• #15. Neuro-Fuzzy-Based Smart Irrigation System and Multimodal Image Analysis in Static-Clustered Wireless Sensor Network for Marigold Crops
• #16. Use of Eggshell as a Partial Replacement for Sand in Concrete Used in Biomedical Applications

A. Suresh, B.E., M.Tech., Ph.D works as the Professor & Head, Department of the Computer Science and Engineering in Nehru Institute of Engineering & Technology, Coimbatore, Tamil Nadu, India. He has been nearly two decades of experience in teaching and his areas of specializations are Data Mining, Artificial Intelligence, Image Processing, Multimedia and System Software. He has published two patents and 90 papers in International journals. He has book authored “Industrial IoT Application Architectures and use cases” published in CRC press and edited book entitled “Deep Neural Networks for Multimodal Imaging and Biomedical Application” published in IGI Global. He has currently editing three books namely “Deep learning and Edge Computing solutions for High Performance Computing” in EAI/Springer Innovations in Communications and Computing, “Sensor Data Management and Analysis: The Role of Deep Learning” and “Bioinformatics and Medical Applications: Big Data using Deep Learning Algorithms” in Scrivener-Wiley publisher. He has published 15 chapters in the book title An Intelligent Grid Network Based on Cloud Computing Infrastructures in IGI Global Publisher and Internet of Things for Industry 4.0 in EAI/Springer Innovations in Communication and Computing. He has published more than 40 papers in National and International Conferences. He has served as editor / reviewer for Springer, Elsevier, Wiley, IGI Global, IoS Press, Inderscience journals etc... He is a member of ISTE, MCSI, IACSIT, IAENG, MCSTA and Global Member of Internet Society (ISOC). He has organized several National Workshop, Conferences and Technical Events. He is regularly invited to deliver lectures in various programmes for imparting skills in research methodology to students and research scholars. He has published four books, in the name of Data structures & Algorithms, Computer Programming, Problem Solving and Python Programming and Programming in “C” in DD Publications, Excel Publications and Sri Maruthi Publisher, Chennai, respectively. He has hosted two special sessions for IEEE sponsored conference in Osaka, Japan and Thailand.

R. Udendhran computer science researcher on Deep learning. He worked as a data scientist and presented research work in an international conference held at the University of Cambridge which is available in the ACM digital library. He has published research papers in international journals and his research area extensively focuses deep learning. He has completed M.Tech in computer science and engineering. His research work focuses on deep learning and cryptography.

S. Vimal is working in Department of Information Technology, National Engineering College, Kovilpatti, Tamilnadu, India. He has around Fourteen years of teaching experience and research experience.He is a EMC certified Data science Associate and CCNA certified professional too. He holds a Ph.D in Information and Communication Engineering from Anna University Chennai and he received Masters Degree from Anna University Coimbatore. He is a member of various professional bodies and organized various funded workshops ,seminars from DST,DBT.AICTE. He has wide publications in the highly impact journals in the area of Data Analytics, Networking and Security issues and published 04 book chapters. He has hosted two special session for IEEE sponsored conference in Osaka, Japan and Thailand. He has acted as Session chair,organizing committee member, advisory committee and outreach committee member in various international conferences supported by IEEE. His areas of interest include Game Modelling, Artificial Intelligence, Cognitive radio networks, Network security, Machine Learning and Big data Analytics. He is a Senior member in IEEE and holds membership in various professional bodies. He has served as Guest Editor, reviewer for IEEE,Springer, Elsevier and Wiley journals.