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Harnessing Automation And Machine Learning For Resource Recovery And Value Creation


Harnessing Automation And Machine Learning For Resource Recovery And Value Creation
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Harnessing Automation And Machine Learning For Resource Recovery And Value Creation


Harnessing Automation And Machine Learning For Resource Recovery And Value Creation
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Author : Kishor Kumar Sadasivuni
language : en
Publisher: Elsevier
Release Date : 2025-03-31

Harnessing Automation And Machine Learning For Resource Recovery And Value Creation written by Kishor Kumar Sadasivuni and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Technology & Engineering categories.


Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value provides a comprehensive understanding of how automation and machine learning technologies can be used to convert waste into valuable resources. This book gives insight in the opportunities offered by automation and machine learning technologies in waste management and how they can help address the challenges associated with waste management and to discuss the benefits and potential of automation technologies. It examines the potential of machine learning algorithms in analyzing waste management data, identifying patterns, predicting future waste generation, and optimizing waste management processes. Moreover, this book showcases case studies from different industries and regions, highlighting the revolutionary applications of automation and machine learning in waste management. This book is an indispensable resource for researchers, waste management professionals, and policymakers interested in learning more about how automation and machine learning can contribute to waste management and the creation of a sustainable future. - Provides insights into the potential of automation and machine learning in waste management inspiring readers to adopt sustainable waste management practices - Offers a comprehensive understanding of how waste management can be transformed into a profitable business by adopting innovative and sustainable solutions - Offers an opportunity to explore case studies from different industries and regions to showcase the revolutionary applications of automation and machine learning in waste management - Provides guidance for waste management professionals, policymakers, and business leaders to optimize waste management processes and improve their bottom line



Intelligent Automation


Intelligent Automation
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Author : Pascal Bornet
language : en
Publisher:
Release Date : 2020

Intelligent Automation written by Pascal Bornet and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.


Introduction. Understanding IA - pt. 1. The promise of IA for a better world -- pt. 2. IA technologies explained -- pt. 3. How organizations succeed in implementing IA -- pt. 4. Reinventing society with IA - Conclusion. Our world urgently needs more IA! - Asset. IA use cases library - Appendix. List of IA experts who took part in the survey - Appendix. Artistic inspiration from IA.



Digital Transformation For Improved Industry And Supply Chain Performance


Digital Transformation For Improved Industry And Supply Chain Performance
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Author : Khan, Muhammad Rahies
language : en
Publisher: IGI Global
Release Date : 2024-05-01

Digital Transformation For Improved Industry And Supply Chain Performance written by Khan, Muhammad Rahies and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Business & Economics categories.


In the rapidly evolving landscape of Industry 4.0, integrating digital technologies into supply chain management (SCM) presents opportunities and challenges. While Industry 4.0 promises increased efficiency, productivity, and competitiveness, its impact on sustainability within SCM remains a pressing concern. Existing literature often needs to look more into the holistic integration of Industry 4.0 technologies with sustainable practices in SCM, leaving a critical gap in understanding and implementation. This gap not only inhibits the realization of sustainable performance but also hinders firms from aligning with global sustainability agendas such as the United Nations Sustainable Development Goals (UNSDG) 2030. Digital Transformation for Improved Industry and Supply Chain Performance offers a comprehensive solution by examining the integration of Industry 4.0 technology and SCM sustainability. It addresses the urgent need for firms to undergo digital transformation to achieve sustainable performance. It provides insights into how Industry 4.0 technologies can be strategically leveraged to promote sustainability in SCM operations. Through in-depth analysis of critical topics such as cybersecurity, resilience, circular economy practices, and ethical considerations, this book equips readers with the knowledge and tools necessary to navigate the complexities of Industry 4.0-enabled SCM sustainability.



Artificial Intelligence In Construction Engineering And Management


Artificial Intelligence In Construction Engineering And Management
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Author : Limao Zhang
language : en
Publisher: Springer Nature
Release Date : 2021-06-18

Artificial Intelligence In Construction Engineering And Management written by Limao Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-18 with Technology & Engineering categories.


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.



Artificial Intelligence In Healthcare


Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21

Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.


Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data



Circular Business Models


Circular Business Models
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Author : Mats Larsson
language : en
Publisher: Springer
Release Date : 2018-02-05

Circular Business Models written by Mats Larsson and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-05 with Business & Economics categories.


This book explores the need to develop business strategies, organise and fund transformation projects and manage the transformation programme in order to further a circular economy. Circular Business Models outlines sustainable business models that can be used by companies to move transformation forward on a large scale. In addition to business models the book will cover and discuss a number of other factors necessary for a successful transformation, such as business and innovation strategy, entrepreneurship and change management. Including original interviews with circular economy practitioners, this book will be applicable to industries as diverse as manufacturing, food processing, transportation and mechanical engineering. Addressing the different challenges that meet circular economy visionaries, it outlines strategies and business models needed to gain momentum in these different sectors.



Digital And Social Media Marketing


Digital And Social Media Marketing
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Author : Nripendra P. Rana
language : en
Publisher: Springer Nature
Release Date : 2019-11-11

Digital And Social Media Marketing written by Nripendra P. Rana and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-11 with Business & Economics categories.


This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.



Race Against The Machine


Race Against The Machine
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Author : Erik Brynjolfsson
language : en
Publisher: Brynjolfsson and McAfee
Release Date : 2011

Race Against The Machine written by Erik Brynjolfsson and has been published by Brynjolfsson and McAfee this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Business & Economics categories.


Examines how information technologies are affecting jobs, skills, wages, and the economy.



Reinforcement Learning Second Edition


Reinforcement Learning Second Edition
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Author : Richard S. Sutton
language : en
Publisher: MIT Press
Release Date : 2018-11-13

Reinforcement Learning Second Edition written by Richard S. Sutton and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Computers categories.


The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.



The Ocean Economy In 2030


The Ocean Economy In 2030
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2016-04-27

The Ocean Economy In 2030 written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-27 with categories.


This report explores the growth prospects for the ocean economy, its capacity for future employment creation and innovation, and its role in addressing global challenges. Special attention is devoted to the emerging ocean-based industries.