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Neutrosophy (1995) is a new branch of philosophy that studies triads of the form (,
This volume teaches readers how to sort through the vast mountain of climate and environmental science data to extract actionable insights. With the advancements in sensing technology, we now observe petabytes of data related to climate and the environment. While the volume of data is impressive, collecting big data for the sake of data alone proves to be of limited utility. Instead, our quest is for actionable data that can drive tangible actions and meaningful impact. Yet, unearthing actionable insights from the accumulated big data and delivering them to global stakeholders remains a burgeoning field. Although traditional data mining struggles to keep pace with data accumulation, scientif...
With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.
Neutrosophy (1995) is a new branch of philosophy that studies triads of the form (,
Combating the menace of climate change, implementing energy transition and living up to strong societal expectations are serious global concerns. Strangely, the mining activities remain enigmatic to society, though mining footprints are omnipresent in most of our household items as well as in many technological breakthroughs. Thus, the Mining Sector in particular and the Mineral Sector at large have to be more responsible and responsive to make their contribution to nation-building more visible. The stakeholders need to brainstorm to work out the best practices that would recognise them as responsible entrepreneurs. In view of these, The Mining, Geological and Metallurgical Institute of Indi...
Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making. Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.
Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artifici...
This book showcases vital lessons learned from research, field projects and best practice examples with regard to climate change adaptation in countries throughout the Pacific region, a part of the planet that is particularly vulnerable to and affected by climate change.The book's primary goals are to document the wealth of experiences in the region available today, to encourage cross-sector interactions among the various stakeholders in the region, and to help transfer results to other countries and regions. Accordingly, it gathers a set of papers presented at a symposium on climate change adaptation held in Fiji in July 2016, focusing on "Fostering Resilience and Improving the Quality of Life". In these contributions, local and international experts present a variety of initiatives showing how Pacific countries are coping with the many problems associated with climate change, including initiatives in education and awareness work taking place across the region, operational aspects and their implications for policy-making, and challenges in urban and rural areas.
Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.