Research Compendium On Iot And Machine Learning
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Research Compendium On Iot And Machine Learning
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Author : Mohit Tiwari
language : en
Publisher: RK Publication
Release Date : 2025-01-31
Research Compendium On Iot And Machine Learning written by Mohit Tiwari and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Computers categories.
Research Compendium on IoT and Machine Learning is volume that explores the intersection of the Internet of Things (IoT) and machine learning. It key concepts, architectures, algorithms, and applications, offering insights into how intelligent systems leverage IoT data for predictive analytics, automation, and decision-making. Topics such as edge computing, deep learning, security challenges, and real-world implementations, this serves as a valuable resource for researchers, engineers, and professionals seeking to understand and develop cutting-edge solutions in smart environments, healthcare, industrial automation, and beyond.
Manthan The Faculty Student Research Compendium
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Author : Dr. Nilesh Uttamrao Bankar
language : en
Publisher: Chyren Publication
Release Date : 2025-06-09
Manthan The Faculty Student Research Compendium written by Dr. Nilesh Uttamrao Bankar and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Antiques & Collectibles categories.
Compendium Of Management Case Studies
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Author : Kirupa Priyadarsini M
language : en
Publisher: Clever Fox Publishing
Release Date : 2022-02-25
Compendium Of Management Case Studies written by Kirupa Priyadarsini M and has been published by Clever Fox Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-25 with Business & Economics categories.
Case study is an important pedagogical tool not only to facilitate classroom teaching, but is also a research tool used widely in academia and industry. Every workplace situation calls for decision making and managerial skill. While some situations are more complex and far-reaching than the others, all decisions are equally important for the businesses in the overall landscape. On one hand, strategic decisions call for sharp business acumen and experience; on the other hand, operational decisions call for tact and eye for detail. Businesses employ unique solutions to solve their problem which is often recorded as a case study. These case studies are an effective tool to enhance learning. It stimulates the students to integrate classroom-learning with application orientation to solve real live problems. The growth in case writers coupled with availability of good cases has made industry and academia to embrace case methods. An initiative to support and encourage build indigenous case studies, this book is a compilation of the cases presented at the Management Case Conference organised by PSG Institute of Management in 2021
Using Traditional Design Methods To Enhance Ai Driven Decision Making
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Author : Nguyen, Tien V. T.
language : en
Publisher: IGI Global
Release Date : 2024-01-10
Using Traditional Design Methods To Enhance Ai Driven Decision Making written by Nguyen, Tien V. T. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-10 with Computers categories.
In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.
Reshaping Environmental Science Through Machine Learning And Iot
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Author : Gupta, Rajeev Kumar
language : en
Publisher: IGI Global
Release Date : 2024-05-06
Reshaping Environmental Science Through Machine Learning And Iot written by Gupta, Rajeev 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 2024-05-06 with Technology & Engineering categories.
In the face of escalating environmental challenges such as climate change, air and water pollution, and natural disasters, traditional approaches to understanding and addressing these issues have yet to be proven sufficient. Academic scholars are compelled to seek innovative solutions that marry digital intelligence and natural ecosystems. Reshaping Environmental Science Through Machine Learning and IoT serves as a comprehensive exploration into the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) to address critical environmental challenges. The book establishes a robust foundation in ML and IoT, explaining their relevance to environmental science. As the narrative unfolds, it delves into diverse applications, providing theoretical insights alongside practical knowledge. From interpreting weather patterns to predicting air and water quality, the book navigates through the intricate web of environmental complexities. Notably, it unveils approaches to disaster management, waste sorting, and climate change monitoring, showcasing the symbiotic relationship between digital intelligence and natural ecosystems. This book is ideal for audiences from students and researchers to data scientists and disaster management professionals with a nuanced understanding of IoT, ML, and Artificial Intelligence (AI).
The Complete Compendium Of Digital Insurance Solutions Life Health Auto Property And Specialized Coverage In The Age Of Ai Automation And Intelligent Risk Management
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Author : Lahari Pandiri
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-06
The Complete Compendium Of Digital Insurance Solutions Life Health Auto Property And Specialized Coverage In The Age Of Ai Automation And Intelligent Risk Management written by Lahari Pandiri and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Business & Economics categories.
The global insurance landscape is undergoing a profound transformation—driven by artificial intelligence, automation, and data-centric innovation. The Complete Compendium of Digital Insurance Solutions: Life, Health, Auto, Property, and Specialized Coverage in the Age of AI, Automation, and Intelligent Risk Management offers a comprehensive guide to this rapidly evolving ecosystem, examining how cutting-edge technologies are redefining the way insurers assess risk, interact with customers, and deliver value. As digital disruption accelerates, traditional insurance models are being reshaped by AI-powered underwriting, predictive analytics, real-time claims processing, and hyper-personalized policy design. Whether it's streamlining auto insurance through telematics, enhancing life insurance underwriting with health data, or modernizing property coverage with drone and IoT-based assessments, intelligent automation is making insurance more responsive, efficient, and customer-focused than ever before. This compendium is intended for a diverse readership—insurance professionals, technology developers, policy regulators, academic researchers, and students—providing insights across the full spectrum of insurance verticals: life, health, auto, property, and niche products. It brings together a rich collection of frameworks, use cases, and future-facing strategies that highlight the integration of digital technologies with core insurance functions, from customer onboarding and fraud detection to compliance and claims adjudication. Beyond the technical and operational aspects, this book also addresses critical themes such as data privacy, algorithmic fairness, regulatory innovation, and the ethical deployment of AI in risk management. It emphasizes that digital transformation in insurance is not merely about adopting new tools—it’s about reimagining the role of insurance in a digital society. As insurers continue to embrace digital-first strategies, this work serves as both a practical reference and a strategic vision for building resilient, intelligent, and inclusive insurance systems that meet the needs of the modern world.
Compendium On Enterprise Resource Planning
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Author : Siar Sarferaz
language : en
Publisher: Springer Nature
Release Date : 2022-04-01
Compendium On Enterprise Resource Planning written by Siar Sarferaz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-01 with Computers categories.
This book explains the functional scope, the data model, the solution architecture, the underlying engineering concepts, and the programming model of SAP S/4HANA as the most well-known enterprise resource planning (ERP) system. The approach is to start with general concepts and then to proceed step-by-step to concrete implementations in SAP S/4HANA. In the first part the reader learns about the market view of ERP solutions and vendors. The second part deals with the business processes for sales, marketing, finance, supply chain, manufacturing, services, procurement, and human resources which are covered with SAP S/4HANA. In the third part the underlying concepts of SAP S/4HANA are described, for example in-memory storage, analytics and search, artificial intelligence, process and data integration, security and compliance, lifecycle management, performance and scalability, configuration and implementation. The book is concluded with a final chapter explaining how to deploy an appliance to explore SAP S/4HANA. The target audience for the book are managers and business analysts who want to understand the market situation and future ERP trends, end users and process experts who need to comprehend the business processes and the according solution capabilities provided with SAP S/4HANA, architects and developers who have to learn the technical concepts and frameworks for enhancing SAP S/4HANA functionality, and consultants and partners who require to adopt and configure SAP S/4HANA.
The Blue Compendium
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Author : Jane Lubchenco
language : en
Publisher: Springer Nature
Release Date : 2023-05-24
The Blue Compendium written by Jane Lubchenco and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-24 with Science categories.
Home to over 80 percent of all life on Earth, the ocean is the world’s largest carbon sink and a key source of food and economic security for billions of people. The relevance of the ocean for humanity's future is undisputed. However, the ocean’s great potential to drive economic growth and equitable job creation, sustain healthy ecosystems, and mitigate climate change is not yet fully recognised. Lack of awareness of this potential as well as management and governance challenges pose impediments. Until these impediments are removed, ocean ecosystems will continue to be degraded and opportunities for people lost. A transition and a clear path to a thriving and vibrant relationship between humans and the ocean are urgently needed. This open access collection of papers and reports identifies a path that is inspired by science, energised by engaged people, and emboldened by visionary leaders. These assessments of knowledge are commissioned by the High Level Panel for a Sustainable Ocean Economy (Ocean Panel), which was established in September 2018 as a unique initiative led by heads of state and government from around the world, to showcase the latest leading-edge science, knowledge and state-of-the-art thinking on key ocean issues. Altogether, The Blue Compendium offers innovative ocean solutions in technology, policy, governance, and finance realms, that could help accelerate a transition to a more sustainable and prosperous relationship with the ocean. The comprehensive assessments have already informed policy making at the highest levels of government and motivated an impressive array of responsive and ambitious action across a growing network of leaders in business, finance and civil society.
Smart Cities And Machine Learning In Urban Health
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Author : Thomas, J. Joshua
language : en
Publisher: IGI Global
Release Date : 2021-11-12
Smart Cities And Machine Learning In Urban Health written by Thomas, J. Joshua and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-12 with Medical categories.
The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the internet of things (IoT) and sensor-based data collection, the strategy extrapolates information using insights gained from that data to manage or monitor or track assets, resources, and services efficiently in an urban area. Both these models deeply affect the localities where they are applied and can create together immense possibilities for urban recovery, better quality of life, physical and mental health protection, and economic and social redevelopment. Smart Cities and Machine Learning in Urban Health promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties; the rigidness and resistance of an area and its communities to possible crisis; the ability of an area, its communities, infrastructure, and business to spring back into shape; and the responsiveness and mitigation towards the crisis with a special look at the impact of the COVID-19 pandemic. The research’s theoretical foundation rests on a wide range of non-architectural sources, primarily AI, sociology, urban studies, and technological development, but it explores everything on cases taken from real cities, thus transforming them into pieces of architectural interest. Covering topics such as carbon emissions, digital healthcare systems, and urban transformation, this book is an essential resource for graduate and post-graduate students, policymakers, researchers, university faculty, engineers, public management, hospital administration, professors, and academicians.
Handbook Of Research On Machine Learning Enabled Iot For Smart Applications Across Industries
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Author : Goel, Neha
language : en
Publisher: IGI Global
Release Date : 2023-07-03
Handbook Of Research On Machine Learning Enabled Iot For Smart Applications Across Industries written by Goel, Neha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-03 with Computers categories.
Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT’s success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians.