Proceedings of International Conference on Intelligent Computing, Information and Control Systems


Book Description

This book is a collection of papers presented at the International Conference on Intelligent Computing, Information and Control Systems (ICICCS 2020). It encompasses various research works that help to develop and advance the next-generation intelligent computing and control systems. The book integrates the computational intelligence and intelligent control systems to provide a powerful methodology for a wide range of data analytics issues in industries and societal applications. The book also presents the new algorithms and methodologies for promoting advances in common intelligent computing and control methodologies including evolutionary computation, artificial life, virtual infrastructures, fuzzy logic, artificial immune systems, neural networks and various neuro-hybrid methodologies. This book is pragmatic for researchers, academicians and students dealing with mathematically intransigent problems.







Proceedings of the International Conference on Enterprise and Industrial Systems (ICOEINS 2023)


Book Description

This is an open access book. The 2023 INTERNATIONAL CONFERENCE ON ENTERPRISE AND INDUSTRIAL SYSTEMS (ICOEINS 2023) held in 4-5 October 2023 in Bali Indonesia and will be held in a hybrid format. The ICOEINS gather the researchers, inventors, academicians, and students to experience the real opportunity to discuss new issues, tackle complex problems and find advanced enabling solutions that able to shape new trends in Information System and Industrial Engineering.




Congress on Intelligent Systems


Book Description

This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India, during September 4 – 5, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as Internet of things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human–computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.







Agile Software Development


Book Description

AGILE SOFTWARE DEVELOPMENT A unique title that introduces the whole range of agile software development processes from the fundamental concepts to the highest levels of applications such as requirement analysis, software testing, quality assurance, and risk management. Agile Software Development (ASD) has become a popular technology because its methods apply to any programming paradigm. It is important in the software development process because it emphasizes incremental delivery, team collaboration, continuous planning, and learning over delivering everything at once near the end. Agile has gained popularity as a result of its use of various frameworks, methods, and techniques to improve software quality. Scrum is a major agile framework that has been widely adopted by the software development community. Metaheuristic techniques have been used in the agile software development process to improve software quality and reliability. These techniques not only improve quality and reliability but also test cases, resulting in cost-effective and time-effective software. However, many significant research challenges must be addressed to put such ASD capabilities into practice. With the use of diverse techniques, guiding principles, artificial intelligence, soft computing, and machine learning, this book seeks to study theoretical and technological research findings on all facets of ASD. Also, it sheds light on the latest trends, challenges, and applications in the area of ASD. This book explores the theoretical as well as the technical research outcomes on all the aspects of Agile Software Development by using various methods, principles, artificial intelligence, soft computing, and machine learning. Audience The book is designed for computer scientists and software engineers both in research and industry. Graduate and postgraduate students will find the book accessible as well.




Multi-Disciplinary Approach to Research: Emerging Paradigms


Book Description

Multidisciplinary approach in research is very much in vogue these days to address the problems of the society. It involves drawing appropriately from multiple disciplines to explore problems outside the normal boundaries and reach out to solutions addressed through different perspectives. Modern research looks through more multidisciplinary approaches and has dominance of problem solving and project oriented applied research. Multidisciplinary approaches while aiming at achieving a common goal attempts to develop answers to complex questions, which a single discipline is unable to handle. The growing research canon is to apply knowledge of various disciplines for the solution. Since current problems are of complex nature, there is a need to have knowledge of all the aspects such as economic, social, political and psychological. Multi-disciplinary approaches call for collaboration between two or more disciplines on a research project, while each discipline maintaining its assumptions, values, and methods. In other words, each discipline maintains its autonomy while collaborating. Today multidisciplinary approach is considered as the driver of innovation and research to solve real world problems. The book aims to address the current issues and problems and draw the solutions with the help of multidisciplinary approaches. Key Features · Highlights the aspects of experiential marketing in higher education institutions, social and emotional learning for children, customer relationship and purchase intention of customers on digital platform, theoretical contribution and evaluation of HRA, Normative susceptibility towards counterfeit branded products, workplace spirituality in enhancing employee well-being and artworks revolved around the religious deities and kings. · Describes innovative solutions towards excess runoff, continuous monitoring of train parameters, recovering the infected individuals and reduction of their number, compete for achieving the growth and respectable market share, security and privacy issues with the Smart Contract and improve the security of the blockchain technology. · Throws light on the techniques and their applications for Emperor Penguin Optimizer as a new power allocation approach, Latent finger-marks, QCA technology, better retrieval of invisible texts. · Focuses on gold has a strong hedge, economic impact of Mughals on Assamese society, Indian exports for improving productivity, loan repayment behaviours of the borrowers, positive attitude towards Swayam Courses. Academicians, researchers, practitioners, and students would be benefitted by reading this book.




Automation and Computation


Book Description

The proceedings of the International Conference on Automation and Computation 2022 (AUTOCOM-22) consist of complete research articles that were presented at the conference. Each of the research articles was double-blind reviewed by the experts of the corresponding domain. The book contains a blend of problems and respective solutions related to computer-based automation & computation to highlight the recent technological developments in computer-based automation. It serves as an environment for researchers to showcase the latest research results on Data Science & Engineering, Computing Technologies, Computational Intelligence, Communication & Networking, Signal & Image Processing, Intelligent Control Systems & Optimization, Robotics and Automation, Power, Energy & Power Electronics, Healthcare & Computation, AI for human interaction, etc. It aims to give deep insight into the current trends of research in science and technology and shall introduce the reader to the new problems and respective approaches toward the solution and shall enlighten the researchers, students and academicians about the research being carried out in the field.




Machine Learning Techniques for Smart City Applications: Trends and Solutions


Book Description

This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.




Empowering Low-Resource Languages With NLP Solutions


Book Description

In our increasingly interconnected world, low-resource languages face the threat of oblivion. These linguistic gems, often spoken by marginalized communities, are at risk of fading away due to limited data and resources. The neglect of these languages not only erodes cultural diversity but also hinders effective communication, education, and social inclusion. Academics, practitioners, and policymakers grapple with the urgent need for a comprehensive solution to preserve and empower these vulnerable languages. Empowering Low-Resource Languages With NLP Solutions is a pioneering book that stands as the definitive answer to the pressing problem at hand. It tackles head-on the challenges that low-resource languages face in the realm of Natural Language Processing (NLP). Through real-world case studies, expert insights, and a comprehensive array of topics, this book equips its readers—academics, researchers, practitioners, and policymakers—with the tools, strategies, and ethical considerations needed to address the crisis facing low-resource languages.