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Demystifying Emerging Trends In Machine Learning


Demystifying Emerging Trends In Machine Learning
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Demystifying Emerging Trends In Machine Learning


Demystifying Emerging Trends In Machine Learning
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Author : Pankaj Kumar Mishra
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-02-17

Demystifying Emerging Trends In Machine Learning written by Pankaj Kumar Mishra and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-17 with Computers categories.


Demystifying Emerging Trends in Machine Learning (Volume 2) offers a deep dive into emerging and trending topics in the field of machine learning (ML). This edited volume showcases several machine learning methods for a variety of tasks. A key focus of this volume is the application of text classification for cybersecurity, E-commerce, sentiment analysis, public health and web content analysis. The 49 chapters highlight a wide variety of machine learning methods including SVNs, K-Means Clustering, CNNs, DCNNs, among others. Each chapter includes accessible information through summaries, discussions and reference lists. This comprehensive volume is essential for students, researchers, and professionals eager to understand the emerging trends reshaping machine learning today.



Demystifying Emerging Trends In Green Technology


Demystifying Emerging Trends In Green Technology
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Author : Pankaj Kumar Mishra
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-02-18

Demystifying Emerging Trends In Green Technology written by Pankaj Kumar Mishra and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Computers categories.


Demystifying Emerging Trends in Green Technology explores the transformative intersection of computational intelligence, disruptive technologies, and green innovations. This volume offers insights into diverse fields such as blockchain, IoT, artificial intelligence, machine learning, and sustainable development. Each chapter presents cutting-edge research and practical solutions addressing environmental sustainability, energy efficiency, and eco-friendly technologies. With contributions from leading researchers, this book discusses advancements like blockchain-based security, green marketing, smart waste management, sustainable agriculture, and innovative healthcare solutions. It emphasizes the role of interdisciplinary approaches in driving a greener and smarter future. Key Features: - Integration of AI, IoT, and blockchain in sustainable systems - Applications in healthcare, agriculture, energy, and environmental science - Practical and innovative solutions for real-world challenges - Insights into future trends in green technology and disruptive innovation.



Demystifying Ai For The Enterprise


Demystifying Ai For The Enterprise
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Author : Prashant Natarajan
language : en
Publisher: CRC Press
Release Date : 2021-12-30

Demystifying Ai For The Enterprise written by Prashant Natarajan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-30 with Computers categories.


Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.



Demystifying Big Data And Machine Learning For Healthcare


Demystifying Big Data And Machine Learning For Healthcare
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Author : Prashant Natarajan
language : en
Publisher: CRC Press
Release Date : 2017-02-15

Demystifying Big Data And Machine Learning For Healthcare written by Prashant Natarajan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-15 with Medical categories.


Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.



Handbook Of Research On Emerging Trends And Applications Of Machine Learning


Handbook Of Research On Emerging Trends And Applications Of Machine Learning
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Author : Solanki, Arun
language : en
Publisher: IGI Global
Release Date : 2019-12-13

Handbook Of Research On Emerging Trends And Applications Of Machine Learning written by Solanki, Arun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-13 with Computers categories.


As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.



Emerging Challenges Solutions And Best Practices For Digital Enterprise Transformation


Emerging Challenges Solutions And Best Practices For Digital Enterprise Transformation
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Author : Sandhu, Kamaljeet
language : en
Publisher: IGI Global
Release Date : 2021-06-18

Emerging Challenges Solutions And Best Practices For Digital Enterprise Transformation written by Sandhu, Kamaljeet and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-18 with Business & Economics categories.


As organizations continue to move towards digital enterprise, the need for digital transformation continues to grow especially due to the COVID-19 pandemic. These impacts will last far into the future, as newer digital technologies continue to be accepted, used, and developed. These digital tools will forever change the face of business and management. However, on the road to digital enterprise transformation there are many successes, difficulties, challenges, and failures. Finding solutions for these issues through strategic thinking and identification of the core issues facing the enterprise is of primary concern. This means modernizing management and strategies around the digital workforce and understanding digital business at various levels. These key areas of digitalization and global challenges, such as those during or derived from the pandemic, are new and unique; They require new knowledge gained from a deep understanding of complex issues that have been examined and the solutions being discovered. Emerging Challenges, Solutions, and Best Practices for Digital Enterprise Transformation explores the key challenges being faced as businesses undergo digital transformation. It provides both solutions and best practices for not only handling and solving these key issues, but for becoming successful in digital enterprise. This includes topics such as security and privacy in technologies, data management, information and communication technologies, and digital marketing, branding, and commerce. This book is ideal for managers, business professionals, government, researchers, students, practitioners, stakeholders, academicians, and anyone else looking to learn about new developments in digital enterprise transformation of business systems from a global perspective.



Emerging Trends And Applications In Artificial Intelligence


Emerging Trends And Applications In Artificial Intelligence
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Author : Fausto Pedro García Márquez
language : en
Publisher: Springer Nature
Release Date : 2024-04-29

Emerging Trends And Applications In Artificial Intelligence written by Fausto Pedro García Márquez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Computers categories.


The book covers the proceedings of the International Conference on Emerging Trends and Applications in Artificial Intelligence (ICETAI) held at Istanbul Medipol University, Turkey, on 24 – 25 August 2023. It presents a comprehensive compilation of papers covering the forefront of artificial intelligence, encapsulating state-of-the-art models, innovative methodologies applied to benchmark datasets, and incisive analyses addressing contemporary challenges. Encompassing four pivotal tracks—Artificial Intelligence and Machine Learning, Big Data and Cloud Computing, Internet of Things and Sensor Technology, and Applications of Artificial Intelligence—this volume serves as a vital resource for researchers, scholars, and professionals navigating the multifaceted landscape of AI advancements and their real-world applications across diverse domains.



The Digital Transformation Of Logistics


The Digital Transformation Of Logistics
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Author : Mac Sullivan
language : en
Publisher: John Wiley & Sons
Release Date : 2021-04-06

The Digital Transformation Of Logistics written by Mac Sullivan 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 2021-04-06 with Technology & Engineering categories.


The digital transformation is in full swing and fundamentally changes how we live, work, and communicate with each other. From retail to finance, many industries see an inflow of new technologies, disruption through innovative platform business models, and employees struggling to cope with the significant shifts occurring. This Fourth Industrial Revolution is predicted to also transform Logistics and Supply Chain Management, with delivery systems becoming automated, smart networks created everywhere, and data being collected and analyzed universally. The Digital Transformation of Logistics: Demystifying Impacts of the Fourth Industrial Revolution provides a holistic overview of this vital subject clouded by buzz, hype, and misinformation. The book is divided into three themed-sections: Technologies such as self-driving cars or virtual reality are not only electrifying science fiction lovers anymore, but are also increasingly presented as cure-all remedies to supply chain challenges. In The Digital Transformation of Logistics: Demystifying Impacts of the Fourth Industrial Revolution, the authors peel back the layers of excitement that have grown around new technologies such as the Internet of Things (IoT), 3D printing, Robotic Process Automation (RPA), Blockchain or Cloud computing, and show use cases that give a glimpse about the fascinating future we can expect. Platforms that allow businesses to centrally acquire and manage their logistics services disrupt an industry that has been relationship-based for centuries. The authors discuss smart contracts, which are one of the most exciting applications of Blockchain, Software as a Service (SaaS) offerings for freight procurement, where numerous data sources can be integrated and decision-making processes automated, and marine terminal operating systems as an integral node for shipments. In The Digital Transformation of Logistics: Demystifying Impacts of the Fourth Industrial Revolution, insights are shared into the cold chain industry where companies respond to increasing quality demands, and how European governments are innovatively responding to challenges of cross-border eCommerce. People are a vital element of the digital transformation and must be on board to drive change. The Digital Transformation of Logistics: Demystifying Impacts of the Fourth Industrial Revolution explains how executives can create sustainable impact and how competencies can be managed in the digital age - especially for sales executives who require urgent upskilling to remain relevant. Best practices are shared for organizational culture change, drawing on studies among senior leaders from the US, Singapore, Thailand, and Australia, and for managing strategic alliances with logistics service providers to offset risks and create cross-functional, cross-company transparency. The Digital Transformation of Logistics: Demystifying Impacts of the Fourth Industrial Revolution provides realistic insights, a ready-to-use knowledge base, and a working vocabulary about current activities and emerging trends of the Logistics industry. Intended readers are supply chain professionals working for manufacturing, trading, and freight forwarding companies as well as students and all interested parties.



Data Science And Innovations For Intelligent Systems


Data Science And Innovations For Intelligent Systems
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Author : Kavita Taneja
language : en
Publisher: CRC Press
Release Date : 2021-09-30

Data Science And Innovations For Intelligent Systems written by Kavita Taneja and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-30 with Computers categories.


Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era. Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.



A Step Towards Society 5 0


A Step Towards Society 5 0
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Author : Shahnawaz Khan
language : en
Publisher: CRC Press
Release Date : 2021-11-28

A Step Towards Society 5 0 written by Shahnawaz Khan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-28 with Computers categories.


This book serves the need for developing an insight and understanding of the cutting-edge innovation in Cloud technology. It provides an understanding of cutting-edge innovations, paradigms, and security by using real-life applications, case studies, and examples. This book provides a holistic view of cloud technology theories, practices, and future applications with real-life examples. It comprehensively explains cloud technology, design principles, development trends, maintaining state-of-the-art cloud computing and software services. It describes how cloud technology can transform the operating contexts of business enterprises. It exemplifies the potential of cloud computing for next-generation computational excellence and the role it plays as a key driver for the 4th industrial revolution in Industrial Engineering and a key driver for manufacturing industries. Researchers, academicians, postgraduates, and industry specialists will find this book of interest.