Artificial Intelligence and Edge Computing for Sustainable Ocean Health PDF Download

Author: Debashis De
Publisher: Springer Nature
ISBN: 3031646428
Category :
Languages : en
Pages : 456

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Author: Naim, Arshi
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 422

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Book Description
The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures. Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development.

Author: Xiaofeng Li
Publisher: Springer Nature
ISBN: 9811963754
Category : Science
Languages : en
Pages : 351

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Book Description
This open access book invites readers to learn how to develop artificial intelligence (AI)-based algorithms to perform their research in oceanography. Various examples are exhibited to guide details of how to feed the big ocean data into the AI models to analyze and achieve optimized results. The number of scholars engaged in AI oceanography research will increase exponentially in the next decade. Therefore, this book will serve as a benchmark providing insights for scholars and graduate students interested in oceanography, computer science, and remote sensing.

Author: A. Suresh
Publisher: Springer Nature
ISBN: 3030602656
Category : Technology & Engineering
Languages : en
Pages : 286

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Book Description
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.

Author: G. R. Kanagachidambaresan
Publisher: Wiley-Scrivener
ISBN: 9781119681328
Category : Electronic data processing
Languages : en
Pages : 352

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Book Description
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.

Author: Shanu Sharma
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 0

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Book Description
The rapid proliferation of connected devices in our daily lives, from smart homes to industrial sensors, has led to an explosion of data that requires processing before it is useful to experts. However, modern devices often have limited resources, making it challenging to decode and utilize this data effectively. Additionally, the need for real-time decision-making further complicates this issue, as traditional data processing methods take far too long to be able to keep up with the required volume and speed. Developments Towards Next Generation Intelligent Systems for Sustainable Development offers a comprehensive solution to these challenges by integrating novel technologies such as AI, edge computing, federated learning, quantum computing, and more. The book shows how intelligent systems can maximize computing power by leveraging these technologies to process large volumes of data efficiently and autonomously and make real-time decisions. The proposed architectures and frameworks focus on real-time analysis, faster decision-making, enhanced privacy, and efficient data processing.

Author: Abdul Salam
Publisher: Springer Nature
ISBN: 3030352919
Category : Technology & Engineering
Languages : en
Pages : 347

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Book Description
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

Author: Mukhdeep Singh Manshahia
Publisher: John Wiley & Sons
ISBN: 1119792622
Category : Technology & Engineering
Languages : en
Pages : 944

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Book Description
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.

Author: Peter Dauvergne
Publisher: MIT Press
ISBN: 0262359588
Category : Computers
Languages : en
Pages : 278

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Book Description
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.

Author: Robert B. Fisher
Publisher: Springer
ISBN: 9783319302065
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
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.