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Intelligent Computing Systems and Applications
  • Language: en
  • Pages: 600

Intelligent Computing Systems and Applications

The book includes peer-reviewed papers presented at the 2nd International Conference on Intelligent Computing Systems and Applications (ICICSA 2023). The book discusses the most recent advances in artificial intelligence, machine learning, data science, natural language processing, computer vision, image processing, embedded systems, robotics, IoT, computer networking and communications, optimization, security, and cryptography, among other topics. It also discusses several application areas and modeling methodologies in many fields. This book will be useful for researchers and academics working in relevant fields.

Intelligent Data Engineering and Analytics
  • Language: en
  • Pages: 556

Intelligent Data Engineering and Analytics

This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25 – 26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. This volume covers broad areas of Intelligent Data Engineering and Analytics. The conference papers included herein presents both theoretical as well as practical aspects of data intensive computing, data mining, big data, knowledge management, intelligent data acquisition and processing from sensors, data communication networks protocols and architectures, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines.

Challenges and Solutions for Sustainable Smart City Development
  • Language: en
  • Pages: 285

Challenges and Solutions for Sustainable Smart City Development

This book discusses advances in smart and sustainable development of smart environments. The authors discuss the challenges faced in developing sustainable smart applications and provide potential solutions. The solutions are aimed at improving reliability and security with the goal of affordability, safety, and durability. Topics include health care applications, sustainable smart transportation systems, intelligent sustainable wearable electronics, and sustainable smart building and alert systems. Authors are from both industry and academia and present research from around the world. Addresses problems and solutions for sustainable development of smart cities; Includes applications such as healthcare, transportation, wearables, security, and more; Relevant for scientist and researchers working on real time smart city development.

Internet of Things, Artificial Intelligence and Blockchain Technology
  • Language: en
  • Pages: 348

Internet of Things, Artificial Intelligence and Blockchain Technology

This book explores the concepts and techniques of IoT, AI, and blockchain. Also discussed is the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book allows both practitioners and researchers to share their opinions and recent research in the convergence of these technologies among academicians and industry people. The contributors present their technical evaluation and compare it with existing technologies. Theoretical explanation and experimental case studies related to real-time scenarios are also included. This book pertains to IT professionals, researchers and academicians working on fourth revolution technologies.

Applications of Artificial Intelligence in COVID-19
  • Language: en
  • Pages: 593

Applications of Artificial Intelligence in COVID-19

The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

Data Management, Analytics and Innovation
  • Language: en
  • Pages: 664

Data Management, Analytics and Innovation

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at 8th International Conference on Data Management, Analytics and Innovation (ICDMAI 2024), held during 19–21 January 2024 in Vellore Institute of Technology, Vellore, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. The book is divided into two volumes.

Handbook of Artificial Intelligence in Biomedical Engineering
  • Language: en
  • Pages: 535

Handbook of Artificial Intelligence in Biomedical Engineering

  • Type: Book
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  • Published: 2021-03-29
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  • Publisher: CRC Press

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.

Indian Science Abstracts
  • Language: en
  • Pages: 1050

Indian Science Abstracts

  • Type: Book
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  • Published: 2010
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  • Publisher: Unknown

None

Fort Saint George Gazette
  • Language: en
  • Pages: 766

Fort Saint George Gazette

  • Type: Book
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  • Published: 1964-10
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  • Publisher: Unknown

None

Universal Threats in Expert Applications and Solutions
  • Language: en
  • Pages: 582

Universal Threats in Expert Applications and Solutions

This book presents high-quality, peer-reviewed papers from 4th International Conference on “Universal Threats in Expert Applications and Solutions" (UNI-TEAS 2025), jointly being organized by IES University, Bhopal, and Shree KKarni Universe College, Jaipur, in association with CSI Jaipur Chapter and Jaipur ACM Professional Chapter during February 1–4, 2025. The book is a collection of innovative ideas from researchers, scientists, academicians, industry professionals, and students. The book covers a variety of topics, such as expert applications and artificial intelligence/machine learning; advance web technologies such as IoT, big data, and cloud computing in expert applications; information and cyber security threats and solutions, multimedia applications in forensics, security and intelligence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences.