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Proceedings Of The International Conference On Big Data And Advanced Wireless Technologies
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Book Synopsis Proceedings of the International Conference on Big Data and Advanced Wireless Technologies by : Djallel Eddine Boubiche
Download or read book Proceedings of the International Conference on Big Data and Advanced Wireless Technologies written by Djallel Eddine Boubiche and published by . This book was released on 2016-11-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: International Conference on Big Data and Advanced Wireless Technologies Nov 10, 2016-Nov 11, 2016 Blagoevgrad, Bulgaria. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Book Synopsis Proceedings of the International Conference on Emerging Trends in Business & Management (ICETBM 2023) by : Sudarsan Jayasingh
Download or read book Proceedings of the International Conference on Emerging Trends in Business & Management (ICETBM 2023) written by Sudarsan Jayasingh and published by Springer Nature. This book was released on 2023-05-09 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. The International Conference on Emerging Trends in Business & Management (ICETBM2023) aims to bring together leading academicians, practitioners, researchers, and students to exchange their views, knowledge, experience and insights on the emerging trends in business and management. The conference theme for year 2023 is “Business Intelligence and Analytics as Drivers for Digital Transformation”. Organizations are adopting a data-driven approach to identify new business opportunities, serve customers better, increase sales, improve the efficiency of operations and more. The amount of data generated, captured, copied, and consumed worldwide is growing rapidly due to increased use of the internet, mobile phone and social media. In today’s modern corporate environment, business intelligence and analytics have emerged as indispensable tools for improving decision-making, facilitating the execution of major initiatives, and guiding the overall company strategies. Business Intelligence and Analytics enables organizations to develop new innovative business models and approaches in the era of digital transformation. The role of analytics in solving business problems has increased manifold in recent years. Researchers, academics, and practitioners are paying more attention because of the increasing benefits achieved using business analytics. The conference will be held in SSN School of Management, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai, India on 24th & 25th February 2023 and will be a hybrid event. This conference will offer invited talks by experts and paper presentations from leading academicians and industry speakers to share new ideas, research insights, recent innovations, trends, and challenges faced in the field of Business and Management.
Book Synopsis Cloud Computing and Big Data: Technologies, Applications and Security by : Mostapha Zbakh
Download or read book Cloud Computing and Big Data: Technologies, Applications and Security written by Mostapha Zbakh and published by Springer. This book was released on 2018-07-27 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and Big Data. Cloud computing, which can be seen as any subscription-based or pay-per-use service that extends the Internet’s existing capabilities, has gained considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools. It is a new paradigm that has ushered in a revolution in both data storage and computation. In parallel to this progress, Big Data technologies, which rely heavily on cloud computing platforms for both data storage and processing, have been developed and deployed at breathtaking speed. They are among the most frequently used technologies for developing applications and services in many fields, such as the web, health, and energy. Accordingly, cloud computing and Big Data technologies are two of the most central current and future research mainstreams. They involve and impact a host of fields, including business, scientific research, and public and private administration. Gathering extended versions of the best papers presented at the Third International Conference on Cloud Computing Technologies and Applications (CloudTech’17), this book offers a valuable resource for all Information System managers, researchers, students, developers, and policymakers involved in the technological and application aspects of cloud computing and Big Data.
Book Synopsis Recent Trends in Computational Intelligence Enabled Research by : Siddhartha Bhattacharyya
Download or read book Recent Trends in Computational Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2021-07-31 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques
Book Synopsis Modern Artificial Intelligence and Data Science by : Abdellah Idrissi
Download or read book Modern Artificial Intelligence and Data Science written by Abdellah Idrissi and published by Springer Nature. This book was released on 2023-08-25 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Book, through its various chapters presenting the Recent Advances in Modern Artificial Intelligence and Data Science as well as their Applications, aims to set up lasting and real applications necessary for both academics and professionals. Readers find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. Through its proposals of new ideas, this Book serves as a real guide both for experienced readers and for beginners in these specialized fields. It also covers several applications that explain how they can support some societal challenges such as education, health, agriculture, clean energy, business, environment, security and many more. This Book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctoral Students, Researchers and Academics.
Book Synopsis Big Data Intelligence and Computing by : Ching-Hsien Hsu
Download or read book Big Data Intelligence and Computing written by Ching-Hsien Hsu and published by Springer Nature. This book was released on 2023-04-30 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the International Conference on Big Data Intelligence and Computing, DataCom 2022, which took place in Denarau Island, Fiji, in December 2022. The 30 full papers included in this volume were carefully reviewed and selected from 88 submissions. The papers detail big data analytics solutions, distributed computation paradigms, on-demand services, autonomic systems, and pervasive applications.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1668436639 Total Pages :1988 pages Book Rating :4.6/5 (684 download)
Book Synopsis Research Anthology on Big Data Analytics, Architectures, and Applications by : Management Association, Information Resources
Download or read book Research Anthology on Big Data Analytics, Architectures, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-09-24 with total page 1988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
Book Synopsis Legal Challenges of Big Data by : Joe Cannataci
Download or read book Legal Challenges of Big Data written by Joe Cannataci and published by Edward Elgar Publishing. This book was released on 2020-09-25 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking book explores the new legal and economic challenges triggered by big data, and analyses the interactions among and between intellectual property, competition law, free speech, privacy and other fundamental rights vis-à-vis big data analysis and algorithms.
Book Synopsis Handbook of Research on Promoting Sustainable Public Transportation Strategies in Urban Environments by : Yilmaz, Zafer
Download or read book Handbook of Research on Promoting Sustainable Public Transportation Strategies in Urban Environments written by Yilmaz, Zafer and published by IGI Global. This book was released on 2023-01-16 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: The traditional urban transportation systems around the globe are now being transferred into green public transportation systems in an effort to mitigate CO2 emissions and provide nature-friendly transportation systems in cities and, ultimately, to increase citizens’ wellbeing. Furthermore, the cities are expected to transform their traditional transportation systems to cutting-edge high technology green transportation systems in the near future due to regulations applied by the related authorities such as the EU and UN. At the same time, cities are undergoing a transformation from traditional to smart cities, which is an inevitable process due to swift developments in technologies and smart systems. Sustainable public transportation systems must be developed and adjusted to be applicable in future smart cities. The Handbook of Research on Promoting Sustainable Public Transportation Strategies in Urban Environments considers the challenges and advantages of sustainable public transportation systems in urban areas and provides relevant theoretical frameworks, the latest empirical research findings, and an overview of the latest technological developments on the subject. Covering key topics such as green vehicles, sustainability, and walkable cities, this major reference work is ideal for policymakers, government officials, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
Book Synopsis Artificial Intelligence & Blockchain in Cyber Physical Systems by : Muhammad Arif
Download or read book Artificial Intelligence & Blockchain in Cyber Physical Systems written by Muhammad Arif and published by CRC Press. This book was released on 2023-12-01 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the intersection of blockchain technology, artificial intelligence (AI) and cyber physical systems (CPS). It discusses how these technologies can be integrated to create secure and efficient CPS solutions. The book covers various topics, including the basics of blockchain and AI, their applications in CPS and the challenges of integrating these technologies. It also explores real-world examples of how blockchain and AI are used in CPS, such as smart cities, transportation systems and healthcare. The authors delve into the technical aspects of how blockchain and AI can be used together to enhance CPS security, data privacy and interoperability. They also discuss the potential benefits and limitations of these technologies and provide insights into the future of CPS. Overall, this book provides a comprehensive overview of the use of blockchain and AI in CPS, making it a valuable resource for researchers, professionals and students in the fields of computer science, engineering and cybersecurity.
Book Synopsis Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications by : Aboul Ella Hassanien
Download or read book Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications written by Aboul Ella Hassanien and published by Springer. This book was released on 2019-07-23 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book discusses a selection of highly relevant topics in the Social Internet of Things (SIoT), including blockchain, fog computing and data fusion. It also presents numerous SIoT-related applications in fields such as agriculture, health care, education and security, allowing researchers and industry practitioners to gain a better understanding of the Social Internet of Things
Book Synopsis IoT and Big Data Analytics for Smart Cities by : Sathiyaraj Rajendran
Download or read book IoT and Big Data Analytics for Smart Cities written by Sathiyaraj Rajendran and published by CRC Press. This book was released on 2022-12-01 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities – A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities. Features: Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application Challenges and Roles of IoT and Big Data in Smart City applications Provides Big Data-IoT intelligent smart systems in a global perspective Provides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidays Gives various solutions and ideas for smart traffic development in smart cities Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications This book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers in the area of computer science and information technology will also find this book useful.
Book Synopsis Machine Learning Approaches for Convergence of IoT and Blockchain by : Krishna Kant Singh
Download or read book Machine Learning Approaches for Convergence of IoT and Blockchain written by Krishna Kant Singh and published by John Wiley & Sons. This book was released on 2021-07-16 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Introduction to AI Techniques for Renewable Energy System by : Suman Lata Tripathi
Download or read book Introduction to AI Techniques for Renewable Energy System written by Suman Lata Tripathi and published by CRC Press. This book was released on 2021-11-25 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems. Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.
Download or read book Business Models written by Iwona Otola and published by CRC Press. This book was released on 2020-07-09 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the beginning of time, running a business has involved using logic by which the business operates. This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models. Research trends related to business models include value creation, value chain operationalization, and social and ecological aspects, as well as innovation and digital transformation. Business Models: Innovation, Digital Transformation, and Analytics examines how innovation, digital transformation, and the composition of value affect the existence and development of business models. The book starts by addressing the conceptual development of business models and by discussing the essence of innovation in those models. Chapters in the book investigate how: Business models can analyze digital transformation scenarios Individual business model elements effect selected performance measures as well as how the elements are significant for the enterprise value composition The environment effects the profitability of the high-growth enterprise business models Employer branding business models are perceived by the generation Z workforce To implement responsible business models in the enterprise Cyber risk is captured in business models Decision algorithms are important to business analytics This book is a compendium of knowledge about the use of business models in the context of innovative activities, digital transformation, and value composition. It attempts to combine the theory and practice and offers a look at business models currently used in companies, especially high-growth enterprises, in various countries of the world and indicates the prospects for their development.
Book Synopsis Blockchain for Information Security and Privacy by : Udai Pratap Rao
Download or read book Blockchain for Information Security and Privacy written by Udai Pratap Rao and published by CRC Press. This book was released on 2021-12-01 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed and peer-to-peer (P2P) applications are increasing daily, and cyberattacks are constantly adopting new mechanisms to threaten the security and privacy of users in these Internet of Things (IoT) environments. Blockchain, a decentralized cryptographic-based technology, is a promising element for IoT security in manufacturing, finance, healthcare, supply chain, identity management, e-governance, defence, education, banking, and trading. Blockchain has the potential to secure IoT through repetition, changeless capacity, and encryption. Blockchain for Information Security and Privacy provides essential knowledge of blockchain usage in the mainstream areas of security, trust, and privacy in decentralized domains. This book is a source of technical information regarding blockchain-oriented software and applications. It provides tools to researchers and developers in both computing and software engineering to develop solutions and automated systems that can promote security, trust, and privacy in cyberspace. FEATURES Applying blockchain-based secured data management in confidential cyberdefense applications Securing online voting systems using blockchain Safeguarding electronic healthcare record (EHR) management using blockchain Impacting security and privacy in digital identity management Using blockchain-based security and privacy for smart contracts By providing an overview of blockchain technology application domains in IoT (e.g., vehicle web, power web, cloud internet, and edge computing), this book features side-by-side comparisons of modern methods toward secure and privacy-preserving blockchain technology. It also examines safety objectives, efficiency, limitations, computational complexity, and communication overhead of various applications using blockchain. This book also addresses the combination of blockchain and industrial IoT. It explores novel various-levels of information sharing systems.
Book Synopsis AI-Driven Marketing Research and Data Analytics by : Masengu, Reason
Download or read book AI-Driven Marketing Research and Data Analytics written by Masengu, Reason and published by IGI Global. This book was released on 2024-04-22 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: The surge in technological advancements, coupled with the exponential growth of data, has left marketers grappling with the need for a paradigm shift. The once-established methods of consumer engagement are now overshadowed by the complexities of the digital age, demanding a profound understanding of artificial intelligence (AI) and data analytics. The gap between academic knowledge and practical applications in the field of marketing has widened, leaving industry professionals, educators, and students seeking a comprehensive resource to navigate the intricacies of this transformative era. AI-Driven Marketing Research and Data Analytics is a groundbreaking book that serves as a beacon for marketers, educators, and industry leaders alike. With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges the gap between theory and practice. It not only explores the historical evolution of marketing but also provides an innovative examination of how AI and data analytics are reshaping the landscape. Through real-time case studies, ethical considerations, and in-depth insights, the book offers a holistic solution to the challenges faced by marketing professionals in the digital age.
