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Emerging Trends in Data Driven Computing and Communications

Emerging Trends in Data Driven Computing and Communications
Author: Rajeev Mathur
Publisher: Springer Nature
Total Pages: 350
Release: 2021-09-27
Genre: Technology & Engineering
ISBN: 9811639159

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This book includes best selected, high-quality research papers presented at International Conference on Data Driven Computing and IoT (DDCIoT 2021) organized jointly by Geetanjali Institute of Technical Studies (GITS), Udaipur, and Rajasthan Technical University, Kota, India, during March 20–21, 2021. This book presents influential ideas and systems in the field of data driven computing, information technology, and intelligent systems.


Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics
Author: Taser, Pelin Yildirim
Publisher: IGI Global
Total Pages: 334
Release: 2021-11-05
Genre: Computers
ISBN: 1799841871

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The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.


Advances in Applications of Data-Driven Computing

Advances in Applications of Data-Driven Computing
Author: Jagdish Chand Bansal
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN: 9789813369207

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This book aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behaviour of applications. Applications of Artificial intelligence (AI)-based systems play a significant role in today's software industry. The sensors data from hardware-based systems making a mammoth database, increasing day by day. Recent advances in big data generation and management have created an avenue for decision-makers to utilize these huge volumes of data for different purposes and analyses. AI-based application developers have long utilized conventional machine learning techniques to design better user interfaces and vulnerability predictions. However, with the advancement of deep learning-based and neural-based networks and algorithms, researchers are able to explore and learn more about data and their exposed relationships or hidden features. This new trend of developing data-driven application systems seeks the adaptation of computational neural network algorithms and techniques in many application domains, including software systems, cyber security, human activity recognition, and behavioural modelling. As such, computational neural networks algorithms can be refined to address problems in data-driven applications. Original research and review works with model and build data-driven applications using computational algorithm are included as chapters in this book. .


Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems

Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems
Author: Anshu Singla
Publisher: CRC Press
Total Pages: 297
Release: 2024-07-31
Genre: Computers
ISBN: 1040088813

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This book comprehensively discusses the role of cloud computing in artificial intelligence‐based data‐driven systems and hybrid cloud computing for large data‐driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Things‐based frameworks and advanced computing techniques to deal with online/virtual systems. This book: • Covers the aspects of security, authentication, and prediction for data‐driven systems in heterogeneous environments. • Provides data‐driven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decision‐making for real‐time problems. • Showcases deep learning‐based computer vision algorithms for enhanced pattern detection in different domains based on data‐centric approaches. • Examines the role of the Internet of Things and machine learning algorithms for data‐driven systems. • Highlights the applications of data‐driven systems and cloud computing in enhancing network performance. This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering.


Recent Trends in Data Science and Soft Computing

Recent Trends in Data Science and Soft Computing
Author: Faisal Saeed
Publisher: Springer
Total Pages: 1126
Release: 2018-09-08
Genre: Technology & Engineering
ISBN: 3319990071

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This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.” A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.


Emerging Trends in Intelligent Computing and Informatics

Emerging Trends in Intelligent Computing and Informatics
Author: Faisal Saeed
Publisher: Springer Nature
Total Pages: 1188
Release: 2019-11-01
Genre: Technology & Engineering
ISBN: 3030335828

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This book presents the proceedings of the 4th International Conference of Reliable Information and Communication Technology 2019 (IRICT 2019), which was held in Pulai Springs Resort, Johor, Malaysia, on September 22–23, 2019. Featuring 109 papers, the book covers hot topics such as artificial intelligence and soft computing, data science and big data analytics, internet of things (IoT), intelligent communication systems, advances in information security, advances in information systems and software engineering.


Innovative Security Solutions for Information Technology and Communications

Innovative Security Solutions for Information Technology and Communications
Author: Giampaolo Bella
Publisher: Springer Nature
Total Pages: 351
Release: 2023-05-11
Genre: Computers
ISBN: 3031326369

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This book constitutes the refereed post-conference proceedings of the 15th International Conference on Innovative Security Solutions for Information Technology and Communications, SecITC 2022, held as a virtual event, during December 8–9, 2022. The 19 revised full papers presented together with 1 invited talk were carefully reviewed and selected from 53 submissions. The papers cover topics such as cryptographic algorithms, digital forensics and cyber security and much more.


Advances in Data-driven Computing and Intelligent Systems

Advances in Data-driven Computing and Intelligent Systems
Author: Swagatam Das
Publisher: Springer Nature
Total Pages: 892
Release: 2023-06-21
Genre: Technology & Engineering
ISBN: 9819909813

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The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.


Artificial Intelligence and Internet of Things Based Augmented Trends for Data Driven Systems

Artificial Intelligence and Internet of Things Based Augmented Trends for Data Driven Systems
Author: Pao-Ann Hsiung
Publisher:
Total Pages: 0
Release: 2024-07
Genre: Computers
ISBN: 9781003497318

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"This book comprehensively discusses the role of cloud computing in artificial intelligence based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides internet of things-based frameworks and advanced computing techniques to deal with online/virtual systems. This book: Covers aspects of security, authentication, and prediction for data-driven systems in heterogeneous environments. Provides data-driven frameworks in combination with the internet of things, artificial intelligence, and computing to provide critical insights and decision-making for real time problems. Showcases deep learning-based computer vision algorithms for enhanced pattern detection in different domains based on data-centric approaches. Examines the role of the internet of things and machine learning algorithms for data-driven systems. Highlights the applications of data-driven systems and cloud computing in enhancing network performance. This book is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science, and engineering"--