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This book contains the best selected research papers presented at ICTCS 2020: Fifth International Conference on Information and Communication Technology for Competitive Strategies. The conference was held at Jaipur, Rajasthan, India, during 11–12 December 2020. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics, and IT security.
Augmented intelligence is an alternate approach of artificial intelligence (AI), which emphasizes AI’s assistive role. Augmented intelligence enhances human skills of reasoning in a robotic system or software by simulating expectancy, educational mining, problem solving, recollection, sequencing, and decision-making capabilities. It is based on a combination of techniques such as machine learning, deep learning and cognitive computing. This book explains artificial intelligence models that support assistive processes in different situations. The contributors aim to provide information to a diverse audience with groundbreaking developments in mathematical computing. The book presents 8 chapters on these topics: - Educational data mining in augmented reality virtual learning environment - Brain and computer interfaces - Tree-based tools for chemometric analysis of infrared spectra - Applications of deep learning in medical engineering - Bankruptcy prediction model using an enhanced boosting classifier - Reputation systems for mobile agent security - The crow search algorithm - COVID-19 diagnosis and treatment The contents attempt to integrate various facets of augmented Intelligence, by describing recent research developments and advanced topics of interest to academicians and researchers working on machine learning problems and AI.
This book constitutes the refereed proceedings of the four workshops that were organized in conjunction with the International Conference on Business Information Systems, BIS 2012, which took place in Vilnius, Lithuania, May 21-23, 2012. In addition, the papers from the Future Internet Symposium, which was organized in conjunction with BIS 2012, are also included. BIS workshops give researchers the opportunity to share their preliminary ideas and first experimental results, and discuss research hypotheses with a highly focused audience. The 24 papers were carefully reviewed and selected from 63 submissions and were revised and extended after the event. The workshop topics covered applications and economics of knowledge-based technologies (AKTB), business and IT alignment (BITA), enterprise systems for higher education (ESHE), and formal semantics for future enterprises (FSFE). In addition, one invited paper from BITA is also included in this volume.
This book presents select proceedings of the International Conference on Science, Technology and Engineering (ICSTE 2023) related to electrical and electronic engineering. Various topics covered include neural network classification, text detection from natural scene images, speech processing systems, Wi-Fi intrusion detection, machine learning, wireless sensor network, image retrieval, automatic speech recognition, device physics, power transfer, photovoltaics, antenna for ultra-wideband applications, electric vehicles, etc. The book is useful for researchers and professionals whose work involves electrical and electronics and computer science fields.
This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna. FEATURES Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs) Discusses use of machine learning and other computing techniques for enhancing performance of networks Explains game theory-based vertical handoffs in heterogeneous wireless networks Examines monitoring and surveillance of vehicles through the vehicular sensor network Investigates theoretical approaches on software-defined VANET The book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.
Scientists, Engineers, Technocrats, Academicians, and Researchers have a vital role to play in the process of emergence of new theories, models, systems, and technologies. They also have a responsibility to harness these for common good and strive to prevent their possible ill effects in the era of rapid growth in technologies. ICM2ST-10 will play a significant role in generating awareness about the potential and the limitations of new technologies, concepts, theories, and trends. The chief objective of ICM2ST-10 is to bring together experts from industries, academia, R&D institutions and other user communities on a common platform to discuss and share their expertise and experiences.
Scientist, Engineers, Technocrats, Academicians, and Researcher have a vital role to play in the process of emergence of new theories, models, systems, and technologies. They also have a responsibility to harness these for common good and strive to prevent their possible ill effects in the era of rapid growth in technologies. ICM2ST-10 will play a significant role in generating awareness about the potential and the limitations of new technologies, concepts, theories, and trends. The chief objective of ICM2ST-10 is to bring together experts from industries, academia, R&D institutions and other user communities on a common platform to discuss and share their expertise and experiences.
Written by one of America's foremost geographers, Postmodern Geographies contests the tendency, still dominant in most social science, to reduce human geography to a reflective mirror, or, as Marx called it, an "unnecessary complication." Beginning with a powerful critique of historicism and its constraining effects on the geographical imagination, Edward Soja builds on the work of Foucault, Berger, Giddens, Berman, Jameson and, above all, Henri Lefebvre, to argue for a historical and geographical materialism, a radical rethinking of the dialectics of space, time and social being. Soja charts the respatialization of social theory from the still unfolding encounter between Western Marxism and modern geography, through the current debates on the emergence of a postfordist regime of "flexible accumulation." The postmodern geography of Los Angeles, exposed in a provocative pair of essays, serves as a model in his account of the contemporary struggle for control over the social production of space.
Data mining, or knowledge discovery in databases (KDD), is one of the fastest growing areas in computing application: it offers powerful tools to analyze the many large data bases used in business, science, and industry. Data mining technology searches large databases to extract information and patterns that can be translated into useful applications, such as classifying or predicting customer behavior. This book brings together fundamental knowledge on all aspects of data mining--concepts, theory, techniques, applications, and case studies. Designed for students and professionals in such fields as computing applications, information systems management and strategic research and management, the Handbook is a comprehensive guide to essential tools and technology, from neural networks to artificial intelligence. There is a strong emphasis on real-world case studies in such areas as banking, finance, marketing management, real estate, engineering, medicine, pharmacology, and the biosciences. A much needed resource on one of the fastest growing areas of computer applications--the development and use of tools to analyze, interpret, and make use of the enormous amounts of information stored in the world's databases.
MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.