Artificial Intelligence for the Oceans

This book underscores the critical importance of oceanic health, sustainability, and global collaboration. It aims to foster interdisciplinary dialogue among scientists, policymakers, and stakeholders to address pressing issues such as marine conservation, climate change impact mitigation, and sustainable resource management. Emphasizing the interconnectedness of ocean health with global ecosystems, the book presents innovative solutions. By promoting knowledge exchange and fostering partnerships, it aims to drive actionable outcomes for marine biodiversity preservation and resilient coastal communities worldwide. This book serves as a pivotal platform to shape policies and practices for a sustainable ocean future.

Presents research works in the field of artificial intelligence for oceans Provides original works presented at ICAIO 2025 Serves as a reference for researchers and practitioners in academia and industry

Autorentext

R. Venkatesan having 42 years of experience in ocean science and technology. He is working as a professor of practice Anna University and Adjunct Professor UMass Dartmouth USA. He received his M. Tech. Degree from Karnataka Regional Engineering College and was awarded Ph.D. degree from the Indian Institute of Science, Bangalore, and continued his academic pursuit to complete courses in Marine Environmental Pollution and Management and International Business Management from IIFT New Delhi. He served in premier Indian Institutions (NIOT and NIO) including UNESCO-IOC-GOOS and UNEP Regional Seas. He has to his credit 190 papers edited 3 books and 10 products transferred to industry.

Dr. J. Preetha Roselyn is working as a professor in the Department of Electrical and Electronics Engineering in SRM Institute of Science and Technology. She completed her B.E (EEE) from Madras University in the year 2002, M.S.(By Research) from Anna University in the year 2007 and Ph.D. from SRM University in the year 2015. She has published 55 international publications among which 54 are SCI indexed journals, 4 lecture notes, 58 conference publications, and 1 book. She has received DST funded project in the topic Optimal energy management system in shipboard power system with solar PV for the period 20182021 and MODROB funded project from AICTE, PI of MOES funded project and Co-PI for MOES funded project, Co-PI of 4 SATU projects, and 3 internally funded projects. She has completed Ph.D. for 5 research scholars, and currently, 7 scholars are pursuing their PhD under her guidance.

K. Vijayakumar received the B.E. degree in Electrical and Electronics Engineering and the M.E. degree in Power Systems from Annamalai University, India, and the Ph.D. degree from SRM Institute of Science and Technology. He is currently working as a professor in the Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology and holding the responsibilities of Dean, School of Electrical and Electronics Engineering. He has published more than 200 papers in various indexed journals. His research interest includes power electronics applications in power systems and renewable energy systems. He is also a member of various professional societies, such as IEEE, IE, MISTE, IEICE, SESI, IpowerE, etc. He is a senior member of IEEE and fellow member of IE(India). He organized many programs like conferences, workshops, etc. He co-authored two text books and edited three conference proceedings.

Vijayan Sugumaran is a distinguished university professor and Janke Scholar of Management Information Systems in the School of Business Administration at Oakland University, Rochester, Michigan, USA. He is also the chair of the Department of Decision and Information Sciences and co-director of the Center for Data Science and Big Data Analytics. He received his Ph.D. in Information Technology from George Mason University, Fairfax, Virginia, USA. His research interests are in the areas of big data management and analytics, ontologies and semantic web, intelligent agent and multi-agent systems. He has published over 300 peer-reviewed articles in journals, conferences, and books. He has edited twenty books and serves on the editorial board of eight journals.

Inhalt

Advancing Welding Defect Detection in Maritime Operations via Adapt-WeldNet and Defect Detection Interpretability Analysis.- Microplastic detection using detectron v2 model for qualitative analysis of oceanic water on the southern coastline of India.- AI-Driven Hybrid Framework for Real-Time Underwater Fish Detection and Multi Technique Image Enhancement.- AI-Powered Water Quality Monitoring Systems for Marine Environments: Enhancing Sustainability and Conservation.- Single Cell RNA-Sequence Analysis Of Coral Reef Using Modified Graph And Encoder Based Hybrid Deep Learning Algorithm.- Underwater Image Enhancement on Lab Space Color Method Using Faster Region Based Convolution Neural Network.- YOLOv8 based Intelligent Maritime Surveillance using Satellite Imagery- Machine Learning-Based Unsteady Flow Dynamics Pre diction Around Two Wall Mounted Square Ribs Ar ranged in Tandem.- Identification and Classification of Small Aquafarming Species Using Deep Learning Models.- Variation of wave energy potential assessment along Kanyakumari coast, southeast coast of India.- Machine Learning Model for Real-time Analysis and Prediction of Coral Bleaching with a Web Application Tool.- Revolutionizing Deep-Sea Component Design Through Additive Manufacturing.- Leveraging Deep Learning Architectures for Coral Reef Classification.- Time-series analysis of temporal variations in near shore bathymetry.- Compact Intelligence for Waste Sorting: Implementing YOLOv5n with Arduino for Localized Management.- OCEAN-Net: A Deep Learning Framework for Optimized Analytics and Edge Deployment in Networked Plastic Pollution Detection Using Multi-Modal Data Fusion.- Revolutionizing Maritime Efficiency: Hybrid Venturi Cavitation Nanobubble Technology and AI-Driven Air Lubrication Systems for Sustainable Shipping.- Regulatory Challenges of Maritime Autonomous Surface Ships (MASS): Advancing Towards a New Legal Framework.- Machine Learning Approach towards Engineering Vegetation as Coastal Protection Measures.- Digital Twin based augmented vision for Healthcare.- Machine Learning Approach towards Engineering Vegetation as Coastal Protection Measures.- Detecting Ocean Plastic Using Yolo V4 Technology for Environment Impact.- AI-Powered Shipboard Microgrid Optimization and Control: Increasing Maritime Energy Systems Reliability and Resilience.- Gate Drive Integrated GaN HEMT Cascode Power Module (IPM) for High Frequency Applications.- Detection of Marine Animals using Region-based Convolutional Neural Networks Model.- COLREGs-Compliant Collision Prevention for Autonomous Surface Vessels at Sea Using Velocity Obstacle.- AI Based Water Bodies Cleaning Robot 4D Machine Learning-based Analysis of Biogeochemistry in the Euphotic Zone of the Black Sea.- Transforming Rainwater Harvesting In Ocean Bay Agriculture With IoT-Driven Solutions.- Early Fault Detection in the Main Bearing of Wind Turbines Based on Gated Recurrent Unit (GRU) Neural Networks and SCADA Data.- Localized Operational Intelligence for Smart Farming: A Multi Modal Data Integration Approach.- AIPowered Agriculture: Crop Recommendation, Fertilizer Efficiency, Disease Control, and Crop Yield Prediction Using ML and DL.- Prediction of Sea Surface Temperature and Atmospheric Carbon Dioxide Using One Dimensional Convolutional Neural Network Model.- Intelligent Mechanism for Coral Species Identification using Lightweight Deeper Architecture.- Advancements in Skin Cancer Detection: A Hybrid CNN-Transformer Approach for Accurate Diagnosis.- Proximal Hyperspectral Imaging: Preprocessing Strategies for Enhancing Data Quality and Spectral Accuracy.- Enhancing underwater image classification with object-gcn and semantic correlation on custom datasets.- AI-…