Applications of Computational Intelligence in Multi-Disciplinary Research

Applications of Computational Intelligence in Multi-Disciplinary Research
Author: Ahmed A. Elngar
Publisher: Academic Press
Total Pages: 222
Release: 2022-02-14
Genre: Science
ISBN: 0128241764

Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. - Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods - Includes case studies and real-world examples of computational intelligence applied in a variety of research topics, including bioinformatics, biomedical engineering, big data analytics, information security, signal processing, machine learning, nanotechnology, and optimization techniques - Presents a thorough technical explanation on how computational intelligence is applied that is suitable for a wide range of multidisciplinary and interdisciplinary research

Multi-Disciplinary Applications of Fog Computing

Multi-Disciplinary Applications of Fog Computing
Author: Debi Prasanna Acharjya
Publisher: Engineering Science Reference
Total Pages: 0
Release: 2022-12-09
Genre: Cloud computing
ISBN: 9781668444665

"The objective of this edited book is to provide the researchers with the recent advances in the fields of data analysis processing through fog computing, which are required to achieve in-depth knowledge in the field of concern to solve problems in real-time applications"--

Web, Artificial Intelligence and Network Applications

Web, Artificial Intelligence and Network Applications
Author: Leonard Barolli
Publisher: Springer
Total Pages: 1217
Release: 2019-03-14
Genre: Technology & Engineering
ISBN: 3030150356

The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of Web Computing, Intelligent Systems and Internet Computing. As the Web has become a major source of information, techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play key roles in many of today’s prominent Web applications such as e-commerce and computer security. Moreover, the outcome of Web services delivers a new platform for enabling service-oriented systems. The emergence of large scale distributed computing paradigms, such as Cloud Computing and Mobile Computing Systems, has opened many opportunities for collaboration services, which are at the core of any Information System. Artificial Intelligence (AI) is an area of computer science that build intelligent systems and algorithms that work and react like humans. The AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning. They have the potential to become enabling technologies for the future intelligent networks. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important for the future development and innovation of Web and Internet applications.

Cross-disciplinary Applications of Artificial Intelligence and Pattern Recognition

Cross-disciplinary Applications of Artificial Intelligence and Pattern Recognition
Author: V. K. Mago
Publisher:
Total Pages: 754
Release: 2012
Genre: Artificial intelligence
ISBN: 9781613504314

"This book provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems, discussing advances in and applications of pattern recognition technologies and artificial intelligence"--

Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine

Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine
Author: Ali, Shawkat
Publisher: IGI Global
Total Pages: 469
Release: 2012-06-30
Genre: Computers
ISBN: 1466618310

"This book explores the complex world of computational intelligence, which utilizes computational methodologies such as fuzzy logic systems, neural networks, and evolutionary computation for the purpose of managing and using data effectively to address complicated real-world problems"--

Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence

Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence
Author: Chowdhary, Chiranji Lal
Publisher: IGI Global
Total Pages: 315
Release: 2022-10-21
Genre: Computers
ISBN: 1668456753

Emotional intelligence has emerged as an important area of research in the artificial intelligence field as it covers a wide range of real-life domains. Though machines may never need all the emotional skills that people need, there is evidence to suggest that machines require at least some of these skills to appear intelligent when interacting with people. To understand how deep learning-based emotional intelligence can be applied and utilized across industries, further study on its opportunities and future directions is required. Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence explores artificial intelligence applications, such as machine and deep learning, in emotional intelligence and examines their use towards attaining emotional intelligence acceleration and augmentation. It provides research on tools used to simplify and streamline the formation of deep learning for system architects and designers. Covering topics such as data analytics, deep learning, knowledge management, and virtual emotional intelligence, this reference work is ideal for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Data-Centric Artificial Intelligence for Multidisciplinary Applications

Data-Centric Artificial Intelligence for Multidisciplinary Applications
Author: Parikshit N Mahalle
Publisher: CRC Press
Total Pages: 309
Release: 2024-06-06
Genre: Computers
ISBN: 1040031137

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

Innovations in Computational Intelligence, Big Data Analytics and Internet of Things

Innovations in Computational Intelligence, Big Data Analytics and Internet of Things
Author: Sam Goundar
Publisher: IAP
Total Pages: 385
Release: 2024-03-01
Genre: Computers
ISBN:

As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc. The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics. • Development of models and algorithms for employing IoT based facilities in healthcare, industry, agriculture, e- commerce, manufacturing, business etc. • Methods for collection, management retrieval and processing of Big Data in various domains. • Provides taxonomy of challenges, issues and research directions in applications of computational intelligence techniques in different domains

Advances and Trends in Artificial Intelligence. Theory and Applications

Advances and Trends in Artificial Intelligence. Theory and Applications
Author: Hamido Fujita
Publisher: Springer Nature
Total Pages: 430
Release: 2023-07-18
Genre: Computers
ISBN: 3031368193

This double volume LNAI 13925-13926 constitutes the thoroughly refereed proceedings of the 36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023, held in Shanghai, China, in July 2023. The 50 full papers and 20 short papers presented were carefully reviewed and selected from 129 submissions. The IEA/AIE 2023 conference on applications of applied intelligent systems to solve real-life problems in all areas including business and finance, science, engineering, industry, cyberspace, bioinformatics, automation, robotics, medicine and biomedicine, and human-machine interactions.