Nature Inspired Computing Applications In Advanced Communication Networks

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Nature-Inspired Computing Applications in Advanced Communication Networks

Author : Gupta, Govind P.
Publisher : IGI Global
Page : 319 pages
File Size : 45,9 Mb
Release : 2019-12-27
Category : Computers
ISBN : 9781799816287

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Nature-Inspired Computing Applications in Advanced Communication Networks by Gupta, Govind P. Pdf

With the rapid growth of technology in society, communication networks have become a heavily researched topic. Implementing these advanced systems is a challenge, however, due to the abundance of optimization problems within these networks. The use of meta-heuristic algorithms and nature-inspired computing has become a prevalent technique among researchers for solving these complex problems within communication networks. Despite its popularity, this specific computing technique lacks the appropriate amount of research that is needed for professionals to grasp a definite understanding. Nature-Inspired Computing Applications in Advanced Communication Networks is a collection of innovative research on the methods and applications of natural computation techniques and algorithms within communication systems such as wireless sensor networks, vehicular adhoc networks, and internet of things. While highlighting topics including mobile sensor deployment, routing optimization, and sleep scheduling, this book is ideally designed for researchers, network professionals, computer scientists, mathematicians, developers, scholars, educators, and students seeking to enhance their understanding of nature-inspired computing and its solutions within various advanced communication networks.

Nature-Inspired Networking

Author : Phan Cong-Vinh
Publisher : CRC Press
Page : 364 pages
File Size : 55,8 Mb
Release : 2018-02-13
Category : Computers
ISBN : 9781351182072

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Nature-Inspired Networking by Phan Cong-Vinh Pdf

"Nature-inspired" includes, roughly speaking, "bio-inspired"+"physical-inspired"+"social-inspired"+ and so on. This book contains highly original contributions about how nature is going to shape networking systems of the future. Hence, it focuses on rigorous approaches and cutting-edge solutions, which encompass three classes of major methods: 1) Those that take inspiration from nature for the development of novel problem solving techniques; 2) Those that are based on the use of networks to synthesize natural phenomena; and 3) Those that employ natural materials to compute or communicate.

Nature Inspired Computing for Wireless Sensor Networks

Author : Debashis De,Amartya Mukherjee,Santosh Kumar Das,Nilanjan Dey
Publisher : Springer
Page : 0 pages
File Size : 40,9 Mb
Release : 2021-02-02
Category : Technology & Engineering
ISBN : 9811521271

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Nature Inspired Computing for Wireless Sensor Networks by Debashis De,Amartya Mukherjee,Santosh Kumar Das,Nilanjan Dey Pdf

This book presents nature inspired computing applications for the wireless sensor network (WSN). Although the use of WSN is increasing rapidly, it has a number of limitations in the context of battery issue, distraction, low communication speed, and security. This means there is a need for innovative intelligent algorithms to address these issues.The book is divided into three sections and also includes an introductory chapter providing an overview of WSN and its various applications and algorithms as well as the associated challenges. Section 1 describes bio-inspired optimization algorithms, such as genetic algorithms (GA), artificial neural networks (ANN) and artificial immune systems (AIS) in the contexts of fault analysis and diagnosis, and traffic management. Section 2 highlights swarm optimization techniques, such as African buffalo optimization (ABO), particle swarm optimization (PSO), and modified swarm intelligence technique for solving the problems of routing, network parameters optimization, and energy estimation. Lastly, Section 3 explores multi-objective optimization techniques using GA, PSO, ANN, teaching–learning-based optimization (TLBO), and combinations of the algorithms presented. As such, the book provides efficient and optimal solutions for WSN problems based on nature-inspired algorithms.

Advances in Nature-Inspired Computing and Applications

Author : Shishir Kumar Shandilya,Smita Shandilya,Atulya K. Nagar
Publisher : Springer
Page : 349 pages
File Size : 43,6 Mb
Release : 2018-08-29
Category : Technology & Engineering
ISBN : 9783319964515

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Advances in Nature-Inspired Computing and Applications by Shishir Kumar Shandilya,Smita Shandilya,Atulya K. Nagar Pdf

This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing.

IoT and Analytics for Sensor Networks

Author : Padmalaya Nayak,Souvik Pal,Sheng-Lung Peng
Publisher : Springer Nature
Page : 502 pages
File Size : 50,8 Mb
Release : 2021-09-11
Category : Technology & Engineering
ISBN : 9789811629198

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IoT and Analytics for Sensor Networks by Padmalaya Nayak,Souvik Pal,Sheng-Lung Peng Pdf

This book includes high-quality research papers presented at the 1st International Conference on Wireless Sensor Networks, Ubiquitous Computing and Applications (ICWSNUCA, 2021), which is held at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India, during 26–27 February, 2021. This volume focuses on the applications, use-cases, architectures, deployments, and recent advances of wireless sensor networks as well as ubiquious computing. Different research topics are illustrated in this book, like wireless sensor networks for the Internet of Things; IoT applications for eHealth; smart cities; architectures for WSNs and IoT, WSNs hardware and new devices; low-power wireless technologies; wireless ad hoc sensor networks; routing and data transfer in WSNs; multicast communication in WSNs; security management in WSNs and in IoT systems; and power consumption optimization in WSNs.

Optical and Wireless Technologies

Author : Manish Tiwari,Yaseera Ismail,Karan Verma,Amit Kumar Garg
Publisher : Springer Nature
Page : 438 pages
File Size : 42,8 Mb
Release : 2022-09-13
Category : Technology & Engineering
ISBN : 9789811916458

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Optical and Wireless Technologies by Manish Tiwari,Yaseera Ismail,Karan Verma,Amit Kumar Garg Pdf

This book comprises select proceedings of the 5th International Conference on Optical and Wireless Technologies (OWT 2021). The contents of this book focus on research carried out in optical communication, optoelectronics, optics, wireless communication, wireless networks, sensors, mobile communications, and antenna and wave propagation. The book also explores the combined use of various optical and wireless technologies in next-generation applications and their latest developments in the applications such as photonics, high-speed communication systems and networks, visible light communication, nanophotonics, and wireless and MIMO systems. This book serves as a reference to scientists, academicians, engineers, and policy-makers interested in the field of optical and wireless technologies.

Advanced Applications of Fractional Differential Operators to Science and Technology

Author : Matouk, Ahmed Ezzat
Publisher : IGI Global
Page : 401 pages
File Size : 54,9 Mb
Release : 2020-04-24
Category : Mathematics
ISBN : 9781799831242

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Advanced Applications of Fractional Differential Operators to Science and Technology by Matouk, Ahmed Ezzat Pdf

Fractional-order calculus dates to the 19th century but has been resurrected as a prevalent research subject due to its provision of more adequate and realistic descriptions of physical aspects within the science and engineering fields. What was once a classical form of mathematics is currently being reintroduced as a new modeling technique that engineers and scientists are finding modern uses for. There is a need for research on all facets of these fractional-order systems and studies of its potential applications. Advanced Applications of Fractional Differential Operators to Science and Technology provides emerging research exploring the theoretical and practical aspects of novel fractional modeling and related dynamical behaviors as well as its applications within the fields of physical sciences and engineering. Featuring coverage on a broad range of topics such as chaotic dynamics, ecological models, and bifurcation control, this book is ideally designed for engineering professionals, mathematicians, physicists, analysts, researchers, educators, and students seeking current research on fractional calculus and other applied mathematical modeling techniques.

Pattern Recognition Applications in Engineering

Author : Burgos, Diego Alexander Tibaduiza,Vejar, Maribel Anaya,Pozo, Francesc
Publisher : IGI Global
Page : 357 pages
File Size : 43,5 Mb
Release : 2019-12-27
Category : Computers
ISBN : 9781799818410

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Pattern Recognition Applications in Engineering by Burgos, Diego Alexander Tibaduiza,Vejar, Maribel Anaya,Pozo, Francesc Pdf

The implementation of data and information analysis has become a trending solution within multiple professions. New tools and approaches are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition is an innovative method that provides comparison techniques and defines new characteristics within the information acquisition process. Despite its recent trend, a considerable amount of research regarding pattern recognition and its various strategies is lacking. Pattern Recognition Applications in Engineering is an essential reference source that discusses various strategies of pattern recognition algorithms within industrial and research applications and provides examples of results in different professional areas including electronics, computation, and health monitoring. Featuring research on topics such as condition monitoring, data normalization, and bio-inspired developments, this book is ideally designed for analysts; researchers; civil, mechanical, and electronic engineers; computing scientists; chemists; academicians; and students.

Tools and Technologies for the Development of Cyber-Physical Systems

Author : Balandin, Sergey,Balandina, Ekaterina
Publisher : IGI Global
Page : 344 pages
File Size : 40,5 Mb
Release : 2019-12-27
Category : Computers
ISBN : 9781799819769

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Tools and Technologies for the Development of Cyber-Physical Systems by Balandin, Sergey,Balandina, Ekaterina Pdf

With the continual development of professional industries in today’s modernized world, certain technologies have become increasingly applicable. Cyber-physical systems, specifically, are a mechanism that has seen rapid implementation across numerous fields. This is a technology that is constantly evolving, so specialists need a handbook of research that keeps pace with the advancements and methodologies of these devices. Tools and Technologies for the Development of Cyber-Physical Systems is an essential reference source that discusses recent advancements of cyber-physical systems and its application within the health, information, and computer science industries. Featuring research on topics such as autonomous agents, power supply methods, and software assessment, this book is ideally designed for data scientists, technology developers, medical practitioners, computer engineers, researchers, academicians, and students seeking coverage on the development and various applications of cyber-physical systems.

Applied Social Network Analysis With R: Emerging Research and Opportunities

Author : Gençer, Mehmet
Publisher : IGI Global
Page : 284 pages
File Size : 47,9 Mb
Release : 2020-02-07
Category : Computers
ISBN : 9781799819141

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Applied Social Network Analysis With R: Emerging Research and Opportunities by Gençer, Mehmet Pdf

Understanding the social relations within the fields of business and economics is vital for the promotion of success within a certain organization. Analytics and statistics have taken a prominent role in marketing and management practices as professionals are constantly searching for a competitive advantage. Converging these technological tools with traditional methods of business relations is a trending area of research. Applied Social Network Analysis With R: Emerging Research and Opportunities is an essential reference source that materializes and analyzes the issue of structure in terms of its effects on human societies and the state of the individuals in these communities. Even though the theme of the book is business-oriented, an approach underlining and strengthening the ties of this field of study with social sciences for further development is adopted throughout. Therefore, the knowledge presented is valid for analyzing not only the organization of the business world but also for the organization of any given community. Featuring research on topics such as network visualization, graph theory, and micro-dynamics, this book is ideally designed for researchers, practitioners, business professionals, managers, programmers, academicians, and students seeking coverage on analyzing social and business networks using modern methods of statistics, programming, and data sets.

Handbook of Research on Emerging Applications of Fuzzy Algebraic Structures

Author : Jana, Chiranjibe,Senapati, Tapan,Pal, Madhumangal
Publisher : IGI Global
Page : 439 pages
File Size : 45,6 Mb
Release : 2019-10-25
Category : Mathematics
ISBN : 9781799801924

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Handbook of Research on Emerging Applications of Fuzzy Algebraic Structures by Jana, Chiranjibe,Senapati, Tapan,Pal, Madhumangal Pdf

In the world of mathematics, the study of fuzzy relations and its theories are well-documented and a staple in the area of calculative methods. What many researchers and scientists overlook is how fuzzy theory can be applied to industries outside of arithmetic. The framework of fuzzy logic is much broader than professionals realize. There is a lack of research on the full potential this theoretical model can reach. The Handbook of Research on Emerging Applications of Fuzzy Algebraic Structures provides emerging research exploring the theoretical and practical aspects of fuzzy set theory and its real-life applications within the fields of engineering and science. Featuring coverage on a broad range of topics such as complex systems, topological spaces, and linear transformations, this book is ideally designed for academicians, professionals, and students seeking current research on innovations in fuzzy logic in algebra and other matrices.

Machine Learning and Deep Learning in Real-Time Applications

Author : Mahrishi, Mehul,Hiran, Kamal Kant,Meena, Gaurav,Sharma, Paawan
Publisher : IGI Global
Page : 344 pages
File Size : 53,8 Mb
Release : 2020-04-24
Category : Computers
ISBN : 9781799830979

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Machine Learning and Deep Learning in Real-Time Applications by Mahrishi, Mehul,Hiran, Kamal Kant,Meena, Gaurav,Sharma, Paawan Pdf

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.

Software Engineering for Agile Application Development

Author : Pang, Chung-Yeung
Publisher : IGI Global
Page : 330 pages
File Size : 43,6 Mb
Release : 2020-02-14
Category : Computers
ISBN : 9781799825333

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Software Engineering for Agile Application Development by Pang, Chung-Yeung Pdf

As the software industry continues to evolve, professionals are continually searching for practices that can assist with the various problems and challenges in information technology (IT). Agile development has become a popular method of research in recent years due to its focus on adapting to change. There are many factors that play into this process, so success is no guarantee. However, combining agile development with other software engineering practices could lead to a high rate of success in problems that arise during the maintenance and development of computing technologies. Software Engineering for Agile Application Development is a collection of innovative research on the methods and implementation of adaptation practices in software development that improve the quality and performance of IT products. The presented materials combine theories from current empirical research results as well as practical experiences from real projects that provide insights into incorporating agile qualities into the architecture of the software so that the product adapts to changes and is easy to maintain. While highlighting topics including continuous integration, configuration management, and business modeling, this book is ideally designed for software engineers, software developers, engineers, project managers, IT specialists, data scientists, computer science professionals, researchers, students, and academics.

Applications of Nature-Inspired Computing in Renewable Energy Systems

Author : Mellal, Mohamed Arezki
Publisher : IGI Global
Page : 326 pages
File Size : 51,5 Mb
Release : 2021-12-17
Category : Technology & Engineering
ISBN : 9781799885634

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Applications of Nature-Inspired Computing in Renewable Energy Systems by Mellal, Mohamed Arezki Pdf

Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.

Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities

Author : Segall, Richard S.,Niu, Gao
Publisher : IGI Global
Page : 237 pages
File Size : 51,9 Mb
Release : 2020-02-21
Category : Computers
ISBN : 9781799827702

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Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities by Segall, Richard S.,Niu, Gao Pdf

With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.