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This book, Proceedings of the ICR ́22 International Conference on Innovations in Computing Research, provides an essential compilation of relevant and cutting-edge academic and industry work on key computer and network security, smart cities, smart energy, IoT, health informatics, biomedical imaging, data science and computer science and engineering education topics. It offers an excellent professional development resource for educators and practitioners on the state-of-the-art in these areas and contributes towards the enhancement of the community outreach and engagement component of the above-mentioned areas. Various techniques, methods, and approaches adopted by experts in these fields are introduced. This book provides detailed explanation of the concepts that are pertinently reinforced by practical examples, and a road map of future trends that are suitable for innovative computing research. It is written by professors, researchers, and industry professionals with long experience in these fields to furnish a rich collection of manuscripts in highly regarded topics that have not been creatively compiled together before. This book can be a valuable resource to university faculty, students to enhance their research work and as a supplement to their courses in these fields, researchers, and industry professionals. Furthermore, it is a valuable tool to experts in these areas to contribute towards their professional development efforts.
This book introduces research presented at the “International Conference on Artificial Intelligence: Advances and Applications-2019 (ICAIAA 2019),” a two-day conference and workshop bringing together leading academicians, researchers as well as students to share their experiences and findings on all aspects of engineering applications of artificial intelligence. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business and security. It also includes research in core concepts of computer networks, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, SDN and NFV. As such it is a valuable resource for students, academics and practitioners in industry working on AI applications.
This book primarily addresses Intelligent Information Systems (IIS) and the integration of artificial intelligence, intelligent systems and technologies, database technologies and information systems methodologies to create the next generation of information systems. It includes original and state-of-the-art research on theoretical and practical advances in IIS, system architectures, tools and techniques, as well as “success stories” in intelligent information systems. Intended as an interdisciplinary forum in which scientists and professionals could share their research results and report on new developments and advances in intelligent information systems, technologies and related areas – as well as their applications – , it offers a valuable resource for researchers and practitioners alike.
This is an open access book. Management science aims to study the dynamic study of human use of limited resources in management activities to achieve organizational goals: complex and innovative social behavior and its laws. And engineering management refers to the management of important and complex new products, equipment and devices in the process of development, manufacturing and production, and also includes the study and management of technological innovation, technological transformation, transformation, transformation, layout and strategy of industrial engineering technology development. The development or breakthrough of management theory is accompanied by the development and progress of science and technology, and the level of science and technology and the level of management theory in each historical period are mutually adaptive, and it can be said that the progress of science and technology plays an important role in promoting the development of management. At the same time, the rapid development and progress of science and technology give a strong injection to the development of engineering, and provide the possibility for engineering construction can use new technology, new equipment, new technology and new materials. Modern management is an important development direction of management science nowadays. And the use of modern management in engineering has an important role in saving social costs, ensuring project quality, and improving safety awareness and behavior ICMSEM 2022, in contrast to the previous two conferences, will focus its discussions on modern management, talking about the benefits that modernization brings to engineering and: Develop and advance management science through the study and application of certain issues To open up new perspectives in the sharing of speakers and inspire the audience to new ways of managing in engineering. To create a forum for sharing, research and exchange at the international level, so that the participants can be informed of the latest research directions, results and contents of management science, which will inspire them to new ideas for research and practice. Papers on management science and engineering management will be accepted and published in the form of conference proceedings for those who cannot attend the conference.
This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things, and Big Data (ICMIB 2021) held at Indira Gandhi Institute of Technology, Sarang, India, during December 2021. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, Internet security, pattern recognition, predictive analytics applications in healthcare, sensor networks and social sensing, and statistical analysis of search techniques.
Computer-supported co-operative work (CSCW) is a research area that aims at integrating the works of several people involved in a common goal, inside a co-operative universe, through the sharing of resources in an efficient way. This report contains the papers presented at a conference on CSCW in design. Topics covered include: techniques, methods, and tools for CSCW in design; social organization of the CSCW process; integration of methods & tools within the work organization; co-operation in virtual enterprises and electronic businesses; CSCW in design & manufacturing; interaction between the CSCW approach and knowledge reuse as found in knowledge management; intelligent agent & multi-agent systems; Internet/World Wide Web and CSCW in design; and applications & test beds.
Advances in Electronic Business advances the understanding of management methods, information technology, and their joint application in business processes. The applications of electronic commerce draw great attention of the practitioners in applying digital technologies to the buy-and-sell activities. This timely book addresses the importance of management and technology issues in electronic business, including collaborative design, collaborative engineering, collaborative decision making, electronic collaboration, communication and cooperation, workflow collaboration, knowledge networking, collaborative e-learning, costs and benefits analysis of collaboration, collaborative transportation and ethics.
This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.