Artificial Intelligence and Edge Computing for Sustainable Ocean Health
Artificial Intelligence and Edge Computing for Sustainable Ocean Health

Author: Debashis De

Publisher: Springer

Published: 2024-10-02

Total Pages: 0

ISBN-13: 9783031646416

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Artificial Intelligence and Edge Computing for Sustainable Ocean Health explores the transformative role of AI and edge computing in preserving and enhancing ocean health. The growing influence of Artificial Intelligence (AI), along with the Internet of Things (IoT) in generating wide coverage of sensor networks, and Edge Computing (EC) has paved the way for investigation of underwater as well as massive marine data, thereby generating huge potential for credible research opportunities for these domains. This book’s journey begins with a broad overview of Artificial Intelligence for Sustainable Ocean Health, setting the foundation for understanding AI's potential in marine conservation. The subsequent chapter, Role of Artificial Intelligence and Technologies in Improving Ocean Health in Promoting Tourism, illustrates the synergy between technological advancements and sustainable tourism practices, demonstrating how AI can enhance the attractiveness and preservation of marine destinations. The identification, restoration, and monitoring of marine resources along with the utilization of technology continues in Utilization of Underwater Wireless Sensor Network through Supervising a Random Network Environment in the Ocean Environment has been extensively dealt with. The technical challenges of underwater imaging, essential for accurate data collection and analysis has been discussed. The importance of Explainable AI is discussed in chapters like Sustainable Development Goal 14: Explainable AI (XAI) for Ocean Health, Explainable AI (XAI) for Ocean Health: Exploring the Role of Explainable AI in Enhancing Ocean Health, and A Comprehensive Study of AI (XAI) for Ocean Health Monitoring, which emphasize transparency and trust in AI systems. Further, Revolutionizing Internet of Underwater Things with Federated Learning, Underwater Drone, Underwater Imagery with AI/ML and IoT in ROV Technology and Ocean Cleanup has been demonstrated using innovative approaches to addressing underwater challenges. The book also includes a Review on the Optics and Photonics in Environmental Sustainability, focusing on the role of optics in marine conservation. Security issues are tackled in Intelligent Hash Function Based Key-Exchange Scheme for Ocean Underwater Data Transmission, and the overarching potential of AI in marine resource management is discussed in Artificial Intelligence as Key-enabler for Safeguarding the Marine Resources.

Deep Learning and Edge Computing Solutions for High Performance Computing
Deep Learning and Edge Computing Solutions for High Performance Computing

Author: A. Suresh

Publisher: Springer Nature

Published: 2021-01-27

Total Pages: 286

ISBN-13: 3030602656

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This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The book is a comprehensive reference that provides an overview of the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and identification, object tracking, human action recognition, and cross-modal and multimodal data analysis. High performance computing systems for applications in healthcare are also discussed. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.

Role of Edge Analytics in Sustainable Smart City Development
Role of Edge Analytics in Sustainable Smart City Development

Author: G. R. Kanagachidambaresan

Publisher: Wiley-Scrivener

Published: 2020

Total Pages: 352

ISBN-13: 9781119681328

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Smart health care development : challenges and solutions / R. Sujatha, E.P. Ephzibah and S. Sree Dharinya -- Working of mobile intelligent agents on the web-a survey / P.R. Joe Dhanith and B. Surendiran -- Power management scheme for photovoltaic/battery hybrid system in smart grid / T. Bharani Prakash and S. Nagakumararaj -- Analysis : a neural network equalizer for channel equalization by particle swarm optimization for various channel models / M. Muthumari, D.C. Diana and C. Ambika Bhuvaneswari -- Implementing hadoop container migrations in opennebula private cloud environment / P. Kalyanaraman, K.R. Jothi, P. Balakrishnan, R.G. Navya, A. Shah and V. Pandey -- Transmission line inspection using unmanned aerial vehicle / A. Mahaboob Subahani, M. Kathiresh and S. Sanjeev -- Smart city infrastructure management system using IoT / S. Ramamoorthy, M. Kowsigan, P. Balasubramanie and P. John Paul -- Lightweight cryptography algorithms for IoT resource starving devices / S. Aruna, G. Usha, P. Madhavan and M.V. Ranjith Kumar -- Pre-learning-based semantic segmentation for LiDAR point cloud data using self-organized map / K. Rajathi and P. Sarasu -- Smart load balancing algorithms in cloud computing-a review / K.R. Jothi, S. Anto, M. Kohar, M. Chadha and P. Madhavan -- A low-cost wearable remote healthcare monitoring system / Konguvel Elango and Kannan Muniandi -- IoT-based secure smart infrastructure data management / R. Poorvadevi, M. Kowsigan, P. Balasubramanie -- A study of addiction behavior for smart psychological health care system / V. Sabapathi and K.P. Vijayakumar -- A custom cluster design with Raspberry Pi for parallel programming and deployment of private cloud / Sukesh, B., Venkatesh, K. and Srinivas, L.N.B. -- Energy efficient load balancing technique for distributed data transmission using edge computing / Karthikeyan, K. and Madhavan, P. -- Blockchain-based SDR signature scheme with time-stamp / Swathi Singh, Divya Satish and Sree Rathna Lakshmi.

Internet of Things for Sustainable Community Development
Internet of Things for Sustainable Community Development

Author: Abdul Salam

Publisher: Springer Nature

Published: 2019-12-28

Total Pages: 347

ISBN-13: 3030352919

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This book covers how Internet of Things (IoT) has a role in shaping the future of our communities. The author shows how the research and education ecosystem promoting impactful solutions-oriented science can help citizenry, government, industry, and other stakeholders to work collaboratively in order to make informed, socially-responsible, science-based decisions. Accordingly, he shows how communities can address complex, interconnected socio-environmental challenges. This book addresses the key inter-related challenges in areas such as the environment, climate change, mining, energy, agro-economic, water, and forestry that are limiting the development of a sustainable and resilient society -- each of these challenges are tied back to IoT based solutions. Presents research into sustainable IoT with respect to wireless communications, sensing, and systems Provides coverage of IoT technologies in sustainability, health, agriculture, climate change, mining, energy, water management, and forestry Relevant for academics, researchers, policy makers, city planners and managers, technicians, and industry professionals in IoT and sustainability

Handbook of Intelligent Computing and Optimization for Sustainable Development
Handbook of Intelligent Computing and Optimization for Sustainable Development

Author: Mukhdeep Singh Manshahia

Publisher: John Wiley & Sons

Published: 2022-02-11

Total Pages: 944

ISBN-13: 1119792622

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HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.

AI in the Wild
AI in the Wild

Author: Peter Dauvergne

Publisher: MIT Press

Published: 2020-09-15

Total Pages: 278

ISBN-13: 0262359588

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Examining the potential benefits and risks of using artificial intelligence to advance global sustainability. Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia's Great Barrier Reef; recycled cell phones alert Brazilian forest rangers to the sound of illegal logging. The tools of artificial intelligence are being increasingly deployed in the battle for global sustainability. And yet, warns Peter Dauvergne, we should be cautious in declaring AI the planet's savior. In AI in the Wild, Dauvergne avoids the AI industry-powered hype and offers a critical view, exploring both the potential benefits and risks of using artificial intelligence to advance global sustainability.

Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data

Author: Robert B. Fisher

Publisher: Springer

Published: 2016-04-04

Total Pages: 0

ISBN-13: 9783319302065

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This book gives a start-to-finish overview of the whole Fish4Knowledge project, in 18 short chapters, each describing one aspect of the project. The Fish4Knowledge project explored the possibilities of big video data, in this case from undersea video. Recording and analyzing 90 thousand hours of video from ten camera locations, the project gives a 3 year view of fish abundance in several tropical coral reefs off the coast of Taiwan. The research system built a remote recording network, over 100 Tb of storage, supercomputer processing, video target detection and tracking, fish species recognition and analysis, a large SQL database to record the results and an efficient retrieval mechanism. Novel user interface mechanisms were developed to provide easy access for marine ecologists, who wanted to explore the dataset. The book is a useful resource for system builders, as it gives an overview of the many new methods that were created to build the Fish4Knowledge system in a manner that also allows readers to see how all the components fit together.

Artificial Intelligence and Big Data Analytics for Smart Healthcare
Artificial Intelligence and Big Data Analytics for Smart Healthcare

Author: Miltiadis Lytras

Publisher: Academic Press

Published: 2021-10-22

Total Pages: 292

ISBN-13: 0128220627

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Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Going Digital: Shaping Policies, Improving Lives
Going Digital: Shaping Policies, Improving Lives

Author: OECD

Publisher: OECD Publishing

Published: 2019-03-11

Total Pages: 171

ISBN-13: 9264312013

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This report identifies seven policy dimensions that allow governments – together with citizens, firms and stakeholders – to shape digital transformation to improve lives. It also highlights key opportunities, challenges and policies related to each dimension, offers new insights, evidence and analysis, and provides recommendations for better policies in the digital age.