A Nature Inspired Approach To Cryptology

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A Nature Inspired Approach To Cryptology

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Author : Shishir Kumar Shandilya
language : en
Publisher: Springer Nature
Release Date : 2023-12-14

A Nature Inspired Approach To Cryptology written by Shishir Kumar Shandilya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-14 with Computers categories.

This book introduces nature-inspired algorithms and their applications to modern cryptography. It helps the readers to get into the field of nature-based approaches to solve complex cryptographic issues. This book provides a comprehensive view of nature-inspired research which could be applied in cryptography to strengthen security. It will also explore the novel research directives such as Clever algorithms and immune-based cyber resilience. New experimented nature-inspired approaches are having enough potential to make a huge impact in the field of cryptanalysis. This book gives a lucid introduction to this exciting new field and will promote further research in this domain. The book discusses the current landscape of cryptography and nature-inspired research and will be helpful to prospective students and professionals to explore further.

Swarm Intelligence

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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-12-29

Swarm Intelligence written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-29 with Technology & Engineering categories.

Unlock the world of "Swarm Intelligence," where robotics, artificial intelligence, and evolutionary computation converge. This book is essential for professionals, students, and enthusiasts eager to explore the cuttingedge methods transforming the future of robotics. Gain insights into natureinspired algorithms and how they optimize problemsolving across diverse fields. Whether you're pursuing a career in robotics or just passionate about intelligent systems, this book bridges theory and practice. Chapters Brief Overview: 1: Swarm intelligence: Introduces the concept of collective behavior in decentralized systems, vital for understanding multiagent robotics. 2: Genetic algorithm: Explores evolutionary principles applied to problemsolving, a cornerstone of optimization techniques in robotics. 3: Evolutionary algorithm: Delves into the evolution of algorithms to improve solutions iteratively, crucial for autonomous robotic systems. 4: Swarm behaviour: Investigates how swarm systems operate and collaborate, essential for creating responsive robotic networks. 5: Evolutionary computation: Highlights computational strategies inspired by biological evolution, enhancing robotic adaptability. 6: Particle swarm optimization: Introduces a populationbased method inspired by natural systems, ideal for solving complex optimization problems in robotics. 7: Boids: Discusses flocking algorithms for simulating natural group behaviors, influencing swarm robotics for coordinated movement. 8: Ant colony optimization algorithms: Shows how ants’ foraging behavior provides a framework for solving routing and optimization problems in robotic navigation. 9: Metaheuristic: Explores highlevel problemsolving strategies, expanding robotics capabilities by refining optimization processes. 10: Marco Dorigo: Focuses on the work of Marco Dorigo, pioneering research in swarm intelligence, a key influence in robotics evolution. 11: Computational intelligence: Examines AI's role in robotics, demonstrating how computational techniques empower robots to think and learn autonomously. 12: Stochastic diffusion search: Introduces random search strategies for optimization, an essential tool for autonomous decisionmaking in robotics. 13: Ant robotics: Explores the application of ant colony optimization in robotic systems, emphasizing efficiency in swarm robotics. 14: Firefly algorithm: Unveils the fireflyinspired optimization algorithm, showing its potential in dynamic and realtime robotic control. 15: Metaoptimization: Delves into improving optimization algorithms themselves, crucial for enhancing the performance of robotic systems. 16: Fly algorithm: Focuses on a bioinspired optimization algorithm, expanding the toolkit for solving complex robotic control tasks. 17: Table of metaheuristics: Provides a comprehensive reference to metaheuristic algorithms, a key resource for optimizing robotic systems. 18: Maurice Clerc (mathematician): Highlights the contributions of Maurice Clerc, deepening the understanding of particle swarm optimization’s role in robotics. 19: Atulya Nagar: Focuses on Atulya Nagar's work in computational intelligence, exploring its relevance to robotic decisionmaking and adaptability. 20: Genetic programming: Introduces genetic programming as a way to evolve solutions for robotic systems, paving the way for autonomous development. 21: Neuroevolution of augmenting topologies: Explores how neuroevolution helps optimize neural networks for complex robotic tasks, a cuttingedge area in robotics research.

Economic And Political Consequences Of Ai Managing Creative Destruction

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Author : Günar, Altuğ
language : en
Publisher: IGI Global
Release Date : 2025-01-14

Economic And Political Consequences Of Ai Managing Creative Destruction written by Günar, Altuğ and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-14 with Computers categories.

Firms that innovate on the production function by using unorthodox paths in technology are disrupting routine actions and radically changing people's lives by innovating in a disruptive way while reinventing new ways. Schumpeterian innovations change the routine and traditional business conditions by realizing a new economic equilibrium and innovation in the production function. Today, the use of artificial intelligence (AI) and AI-related applications and the expansion of their areas of use cause a Schumpeterian process of creative destruction, causing a destructive but at the same time creative cycle such as the use of AI within existing technologies, the increase in the opportunities provided by the applications and the replacement of old and new technology. Therefore, today, the widespread use of AI is one of the most significant technological advancements of recent times, encompassing a wide range of fields and significantly changing how economies and societies operate. Economic and Political Consequences of AI: Managing Creative Destruction investigates the impact of AI on economics and politics. Although emerging AI and technologies scare societies and existing firms and companies, it is essential to research the existing uncertainty to eliminate uncertainties and reveal or discuss potential benefits and harms. Covering topics such as creative destruction, cyber-politics, and the future of employment, this book is an excellent resource for computer developers, technology companies, businesses, professionals, researchers, policy makers, scholars, academicians, and more.

Harmony Search And Nature Inspired Optimization Algorithms

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Author : Neha Yadav
language : en
Publisher: Springer
Release Date : 2018-08-23

Harmony Search And Nature Inspired Optimization Algorithms written by Neha Yadav and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-23 with Technology & Engineering categories.

The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Fourth International Conference on Harmony Search, Soft Computing and Applications held at BML Munjal University, Gurgaon, India on February 7–9, 2018. It consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.

Advances In Nature Inspired Cyber Security And Resilience

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Author : Shishir Kumar Shandilya
language : en
Publisher: Springer Nature
Release Date : 2022-04-26

Advances In Nature Inspired Cyber Security And Resilience written by Shishir Kumar Shandilya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-26 with Technology & Engineering categories.

This book presents a comprehensive reference source for dynamic and innovative research in the field of cyber security, focusing on nature-inspired research and applications. The authors present the design and development of future-ready cyber security measures, providing a critical and descriptive examination of all facets of cyber security with a special focus on recent technologies and applications. The book showcases the advanced defensive cyber security mechanism that is a requirement in the industry and highlights measures that provide efficient and fast solutions. The authors explore the potential of AI-based and nature-inspired based computing compatibilities in establishing an adaptive defense mechanism system. The book focuses on current research while highlighting the empirical results along with theoretical concepts to provide a reference for students, researchers, scholars, professionals, and practitioners in the field of cyber security and analytics. This book features contributions from leading scholars from all over the world.

Nature Inspired Metaheuristic Algorithms

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Author : Sulabh Bansal
language : en
Publisher: CRC Press
Release Date : 2025-06-10

Nature Inspired Metaheuristic Algorithms written by Sulabh Bansal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Computers categories.

This comprehensive text provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It further demonstrates how nature inspired metaheuristic algorithms have the potential to contribute to multiple United Nations sustainable development goals such as climate action, clean energy, and sustainable cities. This book: Discusses load balancing and demand response using nature-inspired optimization techniques Presents energy-efficient routing and scheduling, energy management, and optimization using metaheuristic algorithms Covers disease diagnosis, and prognosis using metaheuristic algorithms, drug discovery, and development using nature-inspired optimization techniques Explains waste reduction and recycling, image processing, and computer vision using nature-inspired optimization techniques Illustrates medical image analysis and segmentation using Ant Colony optimization, and Particle Swarm optimization techniques Nature-inspired Metaheuristic Algorithms is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Nature Inspired Computing

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Author : Bijaya Ketan Panigrahi
language : en
Publisher: Springer
Release Date : 2017-10-03

Nature Inspired Computing written by Bijaya Ketan Panigrahi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-03 with Computers categories.

This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Nature Inspired Computing. The contents of this book will be useful to researchers and students alike.

Nature Inspired Optimization Algorithms For Cyber Physical Systems

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Author : Sajid, Mohammad
language : en
Publisher: IGI Global
Release Date : 2024-12-06

Nature Inspired Optimization Algorithms For Cyber Physical Systems written by Sajid, Mohammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.

Cyber-physical systems (CPS) integrate computation, communication, control, and physical elements to achieve shared goals with minimal human intervention, encompassing smart technologies such as cities, cloud computing, and smart grids. As CPS components expand, generating vast amounts of data, they face challenges in areas like resource management, security, computation offloading, and automation, demanding advanced techniques beyond traditional algorithms. Nature-inspired optimization algorithms, drawing on natural phenomena, offer scalable and adaptable solutions for these complex issues, making them essential for addressing CPS challenges efficiently and enhancing their role in our daily lives. Nature-Inspired Optimization Algorithms for Cyber-Physical Systems provides relevant theoretical frameworks and the latest empirical research findings in the area. It explores the nature-inspired optimization algorithms intended to boost the performance of CPS. Covering topics such as ant colony optimization, data analysis, and smart cities, this book is an excellent resource for teaching staff, researchers, academicians, graduate and postgraduate students, and more.

Nature Inspired Optimization Algorithms

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Author : Aditya Khamparia
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-02-08

Nature Inspired Optimization Algorithms written by Aditya Khamparia and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with Computers categories.

This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations

Intelligent Informatics

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Author : Sankar K. Pal
language : en
Publisher: Springer Nature
Release Date : 2024-10-17

Intelligent Informatics written by Sankar K. Pal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-17 with Technology & Engineering categories.

This book constitutes thoroughly refereed post-conference proceedings of the 8th International Symposium on Intelligent Informatics (ISI 2023), December 18–20, 2023, Bangalore, India. The revised papers presented were carefully reviewed and selected from several initial submissions. The scope of the symposium includes AI, machine learning, cognitive computing, soft computing, security informatics, data science, computer vision, pattern recognition, intelligent software engineering, intelligent networked systems, IoT, cyber-physical systems, and NLP. The book is directed to the researchers and scientists engaged in various fields of computing and network communication domains.