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Author: Shashi Kant Gupta
Publisher: CRC Press
ISBN: 104002145X
Category : Computers
Languages : en
Pages : 241
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Book Description
This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms. The book: presents an empirical analysis of the impact of information technology in the education system discusses student performance in university 4.0 using novel artificial intelligence algorithm with whale optimization elaborates the management of higher education based on information technology in the university 4.0 era explains the implementation of university 4.0 based on artificial intelligence focuses on the transformation of education system using artificial intelligence The text is primarily written for graduate students, postgraduate students, and academic researchers working in the fields of computer science and engineering, information technology and machine learning.
Author: Shashi Kant Gupta
Publisher: CRC Press
ISBN: 104002145X
Category : Computers
Languages : en
Pages : 241
Get Book Here
Book Description
This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms. The book: presents an empirical analysis of the impact of information technology in the education system discusses student performance in university 4.0 using novel artificial intelligence algorithm with whale optimization elaborates the management of higher education based on information technology in the university 4.0 era explains the implementation of university 4.0 based on artificial intelligence focuses on the transformation of education system using artificial intelligence The text is primarily written for graduate students, postgraduate students, and academic researchers working in the fields of computer science and engineering, information technology and machine learning.
Author: Arun K. Somani
Publisher: Springer
ISBN: 9811058288
Category : Technology & Engineering
Languages : en
Pages : 898
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Book Description
The edited volume contains original papers contributed to 1st International Conference on Smart System, Innovations and Computing (SSIC 2017) by researchers from different countries. The contributions focuses on two main areas, i.e. Smart Systems Innovations which includes applications for smart cities, smart grid, social computing and privacy challenges with their theory, specification, design, performance, and system building. And second Computing of Complex Solutions which includes algorithms, security solutions, communication and networking approaches. The volume provides a snapshot of current progress in related areas and a glimpse of future possibilities. This volume is useful for researchers, Ph.D. students, and professionals working in the core areas of smart systems, innovations and computing.
Author: Denis B. Solovev
Publisher: Springer
ISBN: 3030185532
Category : Technology & Engineering
Languages : en
Pages : 807
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Book Description
This book features selected papers presented at The International Science and Technology Conference “FarEastCon”, which took place on October 2–4, 2018 in Vladivostok, Russian Federation. The conference represents an informational platform for accumulating expert opinion on projects and initiatives aimed at the implementation of farsighted scientific research and development; it also allows scientific and practical achievements to be shared with a wide circle of researchers. Sections of the conference are of interest for the broad range of experts involved in developing innovative solutions and organizing events that increase the efficiency of economic and innovative activities.
Author: Keshav Kaushik
Publisher: CRC Press
ISBN: 1000936880
Category : Computers
Languages : en
Pages : 247
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Book Description
This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics. Key Features: Comprehensive coverage of the fundamentals of big data analytics In-depth discussion of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems. Practical examples and case studies to help readers understand complex concepts. Coverage of the use of big data analytics in various industries, including healthcare, energy management, and agriculture Discussion of challenges and legal frameworks involved in big data analytics. Clear and concise language that is easy to understand. This book is a valuable resource for business owners, data analysts, students, and anyone interested in the field of big data analytics. It provides readers with the tools they need to leverage the power of big data and make informed decisions that can help their organizations succeed. Whether you are new to the field or an experienced practitioner, "Demystifying Big Data Analytics for Industries and Smart Societies" is must-read.
Author: João Reis
Publisher: Springer Nature
ISBN: 3031527232
Category :
Languages : en
Pages : 292
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Book Description
Author: Ahmed Al-Masri
Publisher: Springer
ISBN: 9783030016586
Category : Computers
Languages : en
Pages : 0
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Book Description
The book presents high-quality research papers presented at the 1st AUE International research conference, AUEIRC 2017, organized by the American University in the Emirates, held on November 15th-16th, 2017 in Dubai. The book is broadly divided into three sections: Media and Smart Cities, Creative Technologies and Innovation, and Security Risks and Strategic Challenges. The areas covered under these sections are cyber-psychology and digital forensics, cloud RAN architecture, networking functions virtualization, e-Governance and IoT semantic interoperability, ERP security, web-based application and problem-solving skills, smart technologies and advertising, smart technologies for smart cities, smart adaptable navigation systems, turbo codes for security key generation, technology advanced student learning and mobile devices, big data security and privacy, multi-channel buffer enabled technique, physiological signal acquisition in electro-oculography, blockchain and donation-based crowdfunding, smart city and framework development approach, news channel and media education, UAE foreign policy, China-GCC relations, diplomacy in the Internet age, intelligent cyber-security strategies, industry securities and strategic challenges, hybrid alliances and corporate security, security and privacy in smart cities, human computer interaction and e-learning solution, complexity of smart cities governance. The papers included in this book present insightful information on the most recent and relevant research, theories and practices in the field, which aim for a sustainable future.
Author: Pramanik, Sabyasachi
Publisher: IGI Global
ISBN: 1668464101
Category : Mathematics
Languages : en
Pages : 499
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Book Description
A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.
Author: Lyu, Kangjuan
Publisher: IGI Global
ISBN: 1799850250
Category : Computers
Languages : en
Pages : 353
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Book Description
Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.
Author: Guido Dartmann
Publisher: Elsevier
ISBN: 0128166460
Category : Law
Languages : en
Pages : 398
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Book Description
Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems. Each chapter provides the reader with a broad list of data analytics and machine learning methods for multiple IoT applications. Additionally, this volume addresses the educational transfer needed to incorporate these technologies into our society by examining new platforms for IoT in schools, new courses and concepts for universities and adult education on IoT and data science. - Bridges the gap between IoT, CPS, and mathematical modelling - Features numerous use cases that discuss how concepts are applied in different domains and applications - Provides "best practices", "winning stories" and "real-world examples" to complement innovation - Includes highlights of mathematical foundations of signal processing and machine learning in CPS and IoT
Author: Vladimir L. Uskov
Publisher: Springer Nature
ISBN: 9819749549
Category :
Languages : en
Pages : 210
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Book Description
