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Author: Valentina Colla Publisher: Springer Nature ISBN: 3030693678 Category : Technology & Engineering Languages : en Pages : 166
Book Description
This book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector. It contains a selection of themes discussed within the Workshop entitled “Impact and Opportunities of Artificial Intelligence in the Steel Industry” organized by the European Steel Technology Platform as an online event from October 15 until November 5, 2020. The event aimed at analyzing the diffusion of AI technologies in steelworks and at providing indications for future research, development and innovation actions addressing the sector demands. The chapters treat general analyses on transversal themes and applications for process optimization, product quality enhancement, yield increase, optimal exploitation of resources and smart data handling. The book is devoted to researchers and technicians in the steel or AI fields as well as for managers and policymakers exploring the opportunities provided by AI in industry.
Author: Valentina Colla Publisher: Springer Nature ISBN: 3030693678 Category : Technology & Engineering Languages : en Pages : 166
Book Description
This book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector. It contains a selection of themes discussed within the Workshop entitled “Impact and Opportunities of Artificial Intelligence in the Steel Industry” organized by the European Steel Technology Platform as an online event from October 15 until November 5, 2020. The event aimed at analyzing the diffusion of AI technologies in steelworks and at providing indications for future research, development and innovation actions addressing the sector demands. The chapters treat general analyses on transversal themes and applications for process optimization, product quality enhancement, yield increase, optimal exploitation of resources and smart data handling. The book is devoted to researchers and technicians in the steel or AI fields as well as for managers and policymakers exploring the opportunities provided by AI in industry.
Author: Khan, Syed Abdul Rehman Publisher: IGI Global ISBN: 1799876446 Category : Business & Economics Languages : en Pages : 307
Book Description
In recent decades, the industrial revolution has increased economic growth despite its immersion in global environmental issues such as climate change. Researchers emphasize the adoption of circular economy practices in global supply chains and businesses for better socio-environmental sustainability without compromising economic growth. Integrating blockchain technology into business practices could promote the circular economy as well as global environmental sustainability. Integrating Blockchain Technology Into the Circular Economy discusses the technological advancements in circular economy practices, which provide better results for both economic growth and environmental sustainability. It provides relevant theoretical frameworks and the latest empirical research findings in the applications of blockchain technology. Covering topics such as big data analytics, financial market infrastructure, and sustainable performance, this book is an essential resource for managers, operations managers, executives, manufacturers, environmentalists, researchers, industry practitioners, students and educators of higher education, and academicians.
Author: Shukla, Kasturi Publisher: IGI Global ISBN: 1668498642 Category : Science Languages : en Pages : 523
Book Description
Quality of Life and Climate Change: Impacts, Sustainable Adaptation, and Social-Ecological Resilience delves into the pressing concerns surrounding climate change and its profound impacts on the quality of life (QoL) experienced by individuals and communities worldwide. This book explores the intricate relationship between climate change, variability, and QoL in both rural and urban settings. It undertakes a detailed review of QoL assessments to examine the extent to which climatic changes and livability conditions are incorporated into existing evaluations. By shedding light on the critical need to consider climatic factors in measuring and comparing QoL, especially in the context of creating aging-friendly and climate-neutral cities, this publication addresses a significant research gap. This book presents prospective themes, including sustainable solutions, mitigation strategies, and models to enhance socio-ecological resilience. The chapters within the book cover a wide range of topics including climatic variations and future projections, technological advancements in climate change mitigation, implications for residential and non-residential areas, industrial solutions, SDG attainment, mitigation strategies, QoL measurement instruments, and urban QoL models. By addressing these themes, the book provides a comprehensive analysis of the complex interactions between climate change, QoL, and the pursuit of sustainable development. This book serves as a valuable resource for researchers, academicians, policymakers, civil society groups, think tanks, government and non-government organizations, international agencies, and other interested parties seeking to deepen their knowledge and capacity in the field of climate change and its impacts on QoL and Sustainable Development Goals (SDGs) attainment.
Author: Julian Andres Zapata-Cortes Publisher: Springer Nature ISBN: 3030711153 Category : Technology & Engineering Languages : en Pages : 529
Book Description
This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others. This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.
Author: Ajay Agrawal Publisher: University of Chicago Press ISBN: 0226833127 Category : Business & Economics Languages : en Pages : 172
Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Author: Limao Zhang Publisher: Springer Nature ISBN: 9811628424 Category : Technology & Engineering Languages : en Pages : 271
Book Description
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
Author: Irfan, Mohammad Publisher: IGI Global ISBN: 1668444852 Category : Business & Economics Languages : en Pages : 316
Book Description
The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.
Author: Dr Paul Griffiths Publisher: Academic Conferences and publishing limited ISBN: 191276444X Category : Business & Economics Languages : en Pages : 507
Author: Valentina Colla
Author: Valentina Colla
Author: Khan, Syed Abdul Rehman
Author: 
Author: Shukla, Kasturi
Author: Julian Andres Zapata-Cortes
Author: Ajay Agrawal
Author: Limao Zhang
Author: Irfan, Mohammad
Author: Dr Paul Griffiths 
Author: Paul Griffiths