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Author: Parikshit N Mahalle
Publisher: CRC Press
ISBN: 1040031137
Category : Computers
Languages : en
Pages : 309
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Book Description
This book explores the need for a data‐centric AI approach and its application in the multidisciplinary domain, compared to a model‐centric approach. It examines the methodologies for data‐centric approaches, the use of data‐centric approaches in different domains, the need for edge AI and how it differs from cloud‐based AI. It discusses the new category of AI technology, "data‐centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data‐centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods. • Includes a collection of case studies with experimentation results to adhere to the practical approaches • Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways • Discusses methodologies to achieve accurate results by improving the quality of data • Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications
Author: Parikshit N Mahalle
Publisher: CRC Press
ISBN: 1040031137
Category : Computers
Languages : en
Pages : 309
Get Book Here
Book Description
This book explores the need for a data‐centric AI approach and its application in the multidisciplinary domain, compared to a model‐centric approach. It examines the methodologies for data‐centric approaches, the use of data‐centric approaches in different domains, the need for edge AI and how it differs from cloud‐based AI. It discusses the new category of AI technology, "data‐centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data‐centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods. • Includes a collection of case studies with experimentation results to adhere to the practical approaches • Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways • Discusses methodologies to achieve accurate results by improving the quality of data • Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications
Author: Parikshit N. Mahalle
Publisher: Springer Nature
ISBN: 9819963532
Category : Technology & Engineering
Languages : en
Pages : 137
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Book Description
This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various domains. It presents comparative studies of model-centric and data-centric AI. It also highlights different phases in data-centric approach and data-centric principles. The book presents prominent use cases of data-centric AI. It serves as a reference guide for researchers and practitioners in academia and industry.
Author: Sheetanshu Gupta
Publisher: CRC Press
ISBN: 104026946X
Category : Technology & Engineering
Languages : en
Pages : 563
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Book Description
With the convergence of the Internet of Things (IoT) and Artificial Intelligence (AI), the traditional methods of farming are undergoing transformation. By harnessing the power of data-driven insights and automation, farmers can now make informed decisions in real time, optimize resource utilization, and mitigate risks associated with crop management and livestock welfare. This book serves as a guide to the integration of IoT and AI in agriculture and discusses the methodologies, applications, and challenges in this rapidly evolving field. It details various aspects of smart farming—from crop monitoring and precision agriculture to livestock management and food supply chain transparency—and provides insight into the potential of IoT and AI to revolutionize agricultural practices and address the global challenges of food security, environmental sustainability, and economic development. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)
Author: Mina Farmanbar
Publisher: Springer Nature
ISBN: 9819998360
Category :
Languages : en
Pages : 489
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Book Description
Author: Alex Khang
Publisher: CRC Press
ISBN: 1000927741
Category : Technology & Engineering
Languages : en
Pages : 313
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Book Description
The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies. It includes current developments for future directions as well as covering the concept of the healthcare system along with its ecosystem. Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem focuses on the mechanisms of proposing and incorporating solutions along with architectural concepts, design principles, smart solutions, decision-making process, and intelligent predictions. It offers state-of-the-art approaches for overall innovations, developments, and implementation of the smart healthcare ecosystem and highlights medical signal and image processing algorithms, healthcare-based computer vision systems, and discusses explainable AI (XAI) techniques for healthcare. This book will be useful to researchers involved in AI, IoT, Data, and emerging technologies in the medical industry. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.
Author: Peter Štarchoň
Publisher: Springer Nature
ISBN: 3031622138
Category :
Languages : en
Pages : 417
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Book Description
Author: S. Sumathi
Publisher: Springer Science & Business Media
ISBN: 3540343504
Category : Computers
Languages : en
Pages : 836
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Book Description
This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.
Author: Sandeep Reddy
Publisher: CRC Press
ISBN: 1003816207
Category : Computers
Languages : en
Pages : 182
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Book Description
In the era of 'Algorithmic Medicine', the integration of Artificial Intelligence (AI) in healthcare holds immense potential to address critical challenges faced by the industry. Drawing upon the expertise and experience of the authors in medicine, data science, medical informatics, administration, and entrepreneurship, this textbook goes beyond theoretical discussions to outline practical steps for transitioning AI from the experimental phase to real-time clinical integration. Using the Translational Science methodology, each chapter of the book concisely and clearly addresses the key issues associated with AI implementation in healthcare. Covering technical, clinical, ethical, regulatory, and legal considerations, the authors present evidence-based solutions and frameworks to overcome these challenges. Engaging case studies and a literature review of peer-reviewed studies and official documents from reputed organizations provide a balanced perspective, bridging the gap between AI research and actual clinical practice.
Author: Henrique Sousa Antunes
Publisher: Springer Nature
ISBN: 3031412648
Category : Law
Languages : en
Pages : 457
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Book Description
This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI.As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.
Author: Er. Sandeep Bishla
Publisher: Academic Guru Publishing House
ISBN: 8119152913
Category : Study Aids
Languages : en
Pages : 159
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Book Description
This chapter has a dual purpose. In the first place, the authors provide a real-world example of interdisciplinary research by discussing the two chapter examples they worked on while editing a book full of multidisciplinary cases. The authors’ purpose is to provide a realistic picture of how the theoretical aim of interdisciplinary research might be realised in practise, in contrast to the numerous theoretical descriptions that have been published on the topic. The author gives the present conceptual understanding of the multidisciplinary before elaborating on the practical use of these ideas in light of the common restrictions that many academics encounter today while undertaking cooperative research. The book provides suggestions on how to improve cross-disciplinary work in the future and share their own experiences conducting interdisciplinary studies. Students’ expectations about their own Internet & computer skills and their capacity to complete online courses are explored in this book with research on online education self-efficacy. The relevance of culture in the workplace is shown by the fact that several studies have examined the connection between business culture and factors like productivity and lifespan. As well as having a significant impact on a broad variety of organisational processes, employees, & performance, it has long been seen as a critical component in integrating the various business cultures within corporate group organisation. This book aims to chart the history of the electrochemical science from its inception as a separate discipline to the present day.
