Machine Learning Applications In Industrial Solid Ash
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Machine Learning Applications In Industrial Solid Ash
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Author : Chongchong Qi
language : en
Publisher: Elsevier
Release Date : 2023-12-01
Machine Learning Applications In Industrial Solid Ash written by Chongchong Qi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Technology & Engineering categories.
Offering the ability to process large or complex datasets, machine learning (ML) holds huge potential to reshape the whole status for solid ash management and recycling. Machine Learning for Solid Ash Management and Recycling is, as far as the author knows, the first published book about ML in solid ash management and recycling. This book highlights fundamental knowledge and recent advances in this topic, offering readers new insight into how these tools can be utilized to enhance their own work. The reference begins with fundamentals in solid ash, covering the status of solid ash generation and management. The book moves on to foundational knowledge on ML in solid ash management, which provides a brief introduction of ML for solid ash applications. The reference then goes on to discuss ML approaches currently used to address problems in solid ash management and recycling, including solid ash generation, clustering analysis, origin identification, reactivity prediction, leaching potential modelling and metal recovery evaluation, etc. Finally, potential future trends and challenges in the field are discussed. - Helps readers increase their existing knowledge on data mining and ML - Teaches how to apply ML techniques that work best in solid ash management and recycling through providing illustrative examples and complex practice solutions - Provides an accessible introduction to the current state and future possibilities for ML in solid ash management and recycling
New Advances In Soft Computing In Civil Engineering
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Author : Gebrail Bekdaş
language : en
Publisher: Springer Nature
Release Date : 2024-08-07
New Advances In Soft Computing In Civil Engineering written by Gebrail Bekdaş and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-07 with Technology & Engineering categories.
Soft computing applications plays a crucial role in civil engineering applications, with engineers striving to create outstanding designs that prioritize safety, aesthetics, cost-efficiency, and environmental considerations. Advanced optimization techniques are especially valuable for complex systems including multi-constraint problems, multi-objective problems and control problems needing iterative processes in solving differential equations. Throughout history, people have used their creativity to enhance designs in everyday tasks, and this is where metaheuristics come into play, drawing inspiration from nature to develop novel algorithms. These artificial intelligence-based algorithms possess distinctive attributes, and leveraging various features from different algorithms can enhance the effectiveness of optimization, improving precision, computational efficiency, and convergence. This book serves as a timely resource, summarizing the latest advancements in civil engineering optimization, encompassing both metaheuristic approaches and emerging trends that integrates artificial intelligence and machine learning techniques to predict optimal solutions, streamlining lengthy optimization processes. The book's chapters cover a wide range of civil engineering applications, with the primary goal being to introduce fundamental concepts and advanced adaptations. This comprehensive resource is designed to provide undergraduates and graduate engineering students with a solid understanding of materials and content, making it a valuable reference for university courses in various civil engineering disciplines. The book will be edited, and the editors will contribute to most of the chapters. Depending on the availability of high-quality papers, the editors may increase their contributions by sharing recent research projects and postgraduate students' theses.
Recent Advances In Material Manufacturing And Machine Learning
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Author : Bjorn Schuller
language : en
Publisher: CRC Press
Release Date : 2024-06-17
Recent Advances In Material Manufacturing And Machine Learning written by Bjorn Schuller and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-17 with Computers categories.
The main aim of the 2nd international conference on recent advances in materials manufacturing and machine learning processes-2023 (RAMMML-23) is to bring together all interested academic researchers, scientists, engineers, and technocrats and provide a platform for continuous improvement of manufactur□ing, machine learning, design and materials engineering research. RAMMML 2023 received an overwhelm□ing response with more than 530 full paper submissions. After due and careful scrutiny, about 120 of them have been selected for presentation. The papers submitted have been reviewed by experts from renowned institutions, and subsequently, the authors have revised the papers, duly incorporating the suggestions of the reviewers. This has led to significant improvement in the quality of the contributions, Taylor & Francis publications, CRC Press have agreed to publish the selected proceedings of the conference in their book series of Advances in Mechanical Engineering and Interdisciplinary Sciences. This enables fast dissemina□tion of the papers worldwide and increases the scope of visibility for the research contributions of the authors.
Application Of Big Data Deep Learning Machine Learning And Other Advanced Analytical Techniques In Environmental Economics And Policy
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Author : Tsun Se Cheong
language : en
Publisher: Frontiers Media SA
Release Date : 2022-07-25
Application Of Big Data Deep Learning Machine Learning And Other Advanced Analytical Techniques In Environmental Economics And Policy written by Tsun Se Cheong and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-25 with Technology & Engineering categories.
Sustainable Communication Networks And Application
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Author : P. Karrupusamy
language : en
Publisher: Springer Nature
Release Date : 2022-01-17
Sustainable Communication Networks And Application written by P. Karrupusamy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-17 with Technology & Engineering categories.
This book includes high-quality research papers presented at 3rd International Conference on Sustainable Communication Networks and Applications (ICSCN 2021), which is held at Surya Engineering College (SEC), Erode, India, during 29–30 July 2021. This book includes novel and state-of-the-art research discussions that articulate and report all research aspects, including theoretical and experimental prototypes and applications that incorporate sustainability into emerging applications. The book discusses and articulates emerging challenges in significantly reducing the energy consumption of communication systems and also explains development of a sustainable and energy-efficient mobile and wireless communication network. It includes best selected high-quality conference papers in different fields such as Internet of Things, cloud computing, data mining, artificial intelligence, machine learning, autonomous systems, deep learning, neural networks, renewable energy sources, sustainable wireless communication networks, QoS, network sustainability, and many other related areas.
Applications Of Computational Intelligence In Data Driven Trading
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Author : Cris Doloc
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-29
Applications Of Computational Intelligence In Data Driven Trading written by Cris Doloc and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-29 with Business & Economics categories.
“Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence. The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term “Artificial Intelligence,” especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author’s two decades of professional experience as a technologist, quant and academic.
Recent Advances In Material Manufacturing And Machine Learning
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Author : Rajiv Gupta
language : en
Publisher: CRC Press
Release Date : 2023-05-26
Recent Advances In Material Manufacturing And Machine Learning written by Rajiv Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Technology & Engineering categories.
The role of manufacturing in a country’s economy and societal development has long been established through their wealth generating capabilities. To enhance and widen our knowledge of materials and to increase innovation and responsiveness to ever-increasing international needs, more in-depth studies of functionally graded materials/tailor-made materials, recent advancements in manufacturing processes and new design philosophies are needed at present. The objective of this volume is to bring together experts from academic institutions, industries and research organizations and professional engineers for sharing of knowledge, expertise and experience in the emerging trends related to design, advanced materials processing and characterization, and advanced manufacturing processes.
Drug Design Using Machine Learning
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Author : Inamuddin
language : en
Publisher: John Wiley & Sons
Release Date : 2022-11-22
Drug Design Using Machine Learning written by Inamuddin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-22 with Medical categories.
DRUG DESIGN USING MACHINE LEARNING The use of machine learning algorithms in drug discovery has accelerated in recent years and this book provides an in-depth overview of the still-evolving field. The objective of this book is to bring together several chapters that function as an overview of the use of machine learning and artificial intelligence applied to drug development. The initial chapters discuss drug-target interactions through machine learning for improving drug delivery, healthcare, and medical systems. Further chapters also provide topics on drug repurposing through machine learning, drug designing, and ultimately discuss drug combinations prescribed for patients with multiple or complex ailments. This excellent overview Provides a broad synopsis of machine learning and artificial intelligence applications to the advancement of drugs; Details the use of molecular recognition for drug development through various mathematical models; Highlights classical as well as machine learning-based approaches to study target-drug interactions in the field of drug discovery; Explores computer-aided technics for prediction of drug effectiveness and toxicity. Audience The book will be useful for information technology professionals, pharmaceutical industry workers, engineers, university researchers, medical practitioners, and laboratory workers who have a keen interest in the area of machine learning and artificial intelligence approaches applied to drug advancements.
Embracing The Cloud As A Business Essential
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Author : Rai, Pankaj Kumar
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Embracing The Cloud As A Business Essential written by Rai, Pankaj Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.
Through cloud computing, a vast amount of processing power may now be accessed with only a few clicks of the mouse. As a consequence of this, the manner in which businesses approach computers for the purposes of conducting research and carrying out commercial activities will undergo a considerable transition. This move marks a substantial democratization of computing power, which means that it will have an influence on every industry and will ignite the flames of innovation at a rate that has never been seen before. Embracing the Cloud as a Business Essential explores the transformation brought about by the shift in the way that processing power is utilized. It discusses "Computer as a Commodity" rather than "Computer as a Service" as the proper moment for enterprises to begin addressing its utilization. Covering topics such as cost management, marginalized communities, and smart contracts, this book is an excellent resource for business leaders, computer programmers, cloud developers, professionals, researchers, scholars, academicians, and more.
Green Technology And Smart Materials For Engineering Applications
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Author : Jashanpreet Singh
language : en
Publisher: CRC Press
Release Date : 2025-08-08
Green Technology And Smart Materials For Engineering Applications written by Jashanpreet Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-08 with Technology & Engineering categories.
Sustainability and technological advancements are rapidly gaining traction on a global scale and are becoming increasingly prominent across a wide range of industries, as evidenced by current market trends. Companies are making significant investments in the research and development of smart materials that can adapt to their surroundings in real time, thereby improving their performance and productivity. The heightened interest in environmentally friendly and intelligent materials can be attributed to the recent surge in research, conferences, and patent applications in this field, highlighting the need for a comprehensive resource that can provide a thorough explanation of these developments. Green Technology and Smart Materials for Engineering Applications provides a thorough examination of smart materials, including their unique properties and applications in sustainable construction. It explores the versatile uses of green materials in different industries, emphasizing sustainable manufacturing practices and resource-efficient materials. The integration of eco-design and innovation is looked at for the creation of sustainable materials, highlighting the importance of green and smart materials in optimizing energy consumption. Additionally, the book offers insights into reuse and recycling techniques that promote circular economy principles and sustainable business models related to green and smart materials. Real-world examples and success stories are used to illustrate the environmental and economic impacts of implementing smart and green materials in various industries. This book is intended to serve as a comprehensive reference guide for academics, researchers, scholars, and professionals working in the fields of manufacturing processing, material science, and environmental engineering. The primary objective of this book is to showcase sustainability by emphasizing the diverse array of green and smart materials utilized in various engineering applications. Through this publication, readers will gain valuable insights into the importance of incorporating environmentally friendly materials into their work, ultimately contributing to a more sustainable future.