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Recent Advances in Computational Intelligence and Cyber Security: The International Conference on Computational Intelligence and Cyber Security
In the ever-accelerating tapestry of our digital age, the symbiotic relationship between computational intelligence and cyber security has become the linchpin of progress. The relentless pace of technological evolution and the ceaseless emergence of cyber threats demand not only adaptation but also an exploration of the forefronts of innovation and defence. Recent Advances in Computational Intelligence and Cyber security is a testament to the exhilarating journey undertaken by researchers, practitioners, and visionaries in these pivotal fields. Within the confines of this book, we embark on a captivating exploration of the cutting-edge developments that define the current state of computational intelligence and the intricate dance with the ever-evolving landscape of cyber security.
Recent Advances in Computational Intelligence in Defense and Security
by Hussein A. Abbass Nur Zincir-Heywood Rafael Falcon Rami AbielmonaThis volume is an initiative undertaken by the IEEE ComputationalIntelligence Society's Task Force on Security, Surveillance and Defense to consolidateand disseminate the role of CI techniques in the design, development anddeployment of security and defense solutions. Applications range from thedetection of buried explosive hazards in a battlefield to the control ofunmanned underwater vehicles, the delivery of superior video analytics forprotecting critical infrastructures or the development of stronger intrusiondetection systems and the design of military surveillance networks. Defensescientists, industry experts, academicians and practitioners alike will allbenefit from the wide spectrum of successful applications compiled in thisvolume. Senior undergraduate or graduate students may also discover unchartedterritory for their own research endeavors.
Recent Advances in Computational Mechanics
by Tomasz Łodygowski Jerzy Rakowski Przemysław LitewkaRecent Advances in Computational Mechanics contains selected papers presented at the jubilee 20th Conference on Computer Methods in Mechanics (CMM 2013), which took place from 27 to 31 August 2013 at the Poznan University of Technology. The first Polish Conference on Computer Methods in Mechanics was held in Poznan in 1973. This very successful me
Recent Advances in Computational Optimization
by Stefka FidanovaOur everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2013. It presents recent advances in computational optimization. The volume includes important real life problems like parameter settings for controlling processes in bioreactor, resource constrained project scheduling, problems arising in transport services, error correcting codes, optimal system performance and energy consumption and so on. It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others.
Recent Advances in Computational Optimization
by Stefka FidanovaOptimization is part of our everyday life. We try to organize our work in a better way and optimization occurs in minimizing time and cost or the maximization of the profit, quality and efficiency. Also many real world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization. This book presents recent advances in computational optimization. The volume includes important real world problems like parameter settings for con- trolling processes in bioreactor, robot skin wiring, strip packing, project scheduling, tuning of PID controller and so on. Some of them can be solved by applying traditional numerical methods, but others need a huge amount of computational resources. For them it is shown that is appropriate to develop algorithms based on metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming etc.
Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2017 (Studies in Computational Intelligence #795)
by Stefka FidanovaOur everyday lives are practically unthinkable without optimization. We constantly try to minimize our effort and to maximize the reward or progress achieved. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This volume presents a comprehensive collection of extended contributions from the 2017 Workshop on Computational Optimization. Presenting recent advances in computational optimization, it addresses important concrete applications, e.g. the modeling of physical processes, wildfire modeling, modeling processes in chemical engineering, workforce planning, wireless access network topology, parameter settings for controlling various processes, berth allocation, identification of homogeneous domains, and quantum computing. The book shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others.
Recent Advances in Computational Optimization: Results of the Workshop on “Computational Optimization” and “Numerical Search and Optimization” 2018 (Studies in Computational Intelligence #838)
by Stefka FidanovaThis book presents new optimization approaches and methods and their application in real-world and industrial problems. Numerous processes and problems in real life and industry can be represented as optimization problems, including modeling physical processes, wildfire, natural hazards and metal nanostructures, workforce planning, wireless network topology, parameter settings for controlling different processes, extracting elements from video clips, and management of cloud computing environments. This book shows how to develop algorithms for these problems, based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming, and demonstrates how real-world problems arising in engineering, economics and other domains can be formulated as optimization problems. The book is useful for researchers and practitioners alike.
Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2019 (Studies in Computational Intelligence #920)
by Stefka FidanovaThis book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2019.Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit.Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, wildfire and flood risk modeling, workforce planning, parameter settings for controlling different processes, optimal electrical vehicle modeling, bioreactor modeling and design of VLSI.It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.
Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2020 (Studies in Computational Intelligence #986)
by Stefka FidanovaThis book presents recent advances in computational optimization. Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2020. The book includes important real problems like modeling of physical processes, workforce planning, parameter settings for controlling different processes, transportation problems, wireless sensor networks, machine scheduling, air pollution modeling, solving multiple integrals and systems of differential equations which describe real processes, solving engineering problems. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.
Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2021 (Studies in Computational Intelligence #1044)
by Stefka FidanovaThis book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, parameter settings for controlling different processes, transportation problems, machine scheduling, air pollution modeling, solving multiple integrals and systems of differential and integral equations which describe real processes, solving engineering and financial problems.It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method and others. This research demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.
Recent Advances in Computational Optimization: Selected Papers from the WCO 2022 – Workshop on Computational Optimization (Studies in Computational Intelligence #1158)
by Stefka FidanovaThe book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2022. Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real world and industrial problems arising in engineering, economics, medicine, and other domains can be formulated as optimization tasks. This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, parameter settings for controlling different processes, agricultural modeling transportation problems, energy management, machine scheduling, air pollution modeling, optimization of fast-food restaurant chain, and solving engineering and financial problems. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method, and others. This book demonstrates how some real-world problems arising in engineering, economics, and other domains can be formulated as optimization problems.
Recent Advances in Computer Based Systems, Processes and Applications: Proceedings of Recent Advances in Computer based Systems, Processes and Applications (NCRACSPA-2019), October21-22, 2019
by Anupama Namburu; Soubhagya Sankar BarpandaThis was the first conference organized by the school of Computer Science Engineering in VIT-AP University campus withthe cumulative efforts of all the faculty members. The proceedings discusses recent advancements and novel ideas in areas of interest. It covers topics such as advances in computer based systems, processes and applications
Recent Advances in Computer Vision: Theories And Applications (Studies in Computational Intelligence #804)
by Mahmoud Hassaballah Khalid M. HosnyThis book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field.
Recent Advances in Computing Sciences
by Manmohan Sharma Mintu Nath Sophiya Sheikh Amar SinghThe 2nd International Conference on Recent Advances in Computing Sciences (RACS) was held from 29th to 30th November 2022 at Lovely Professional University, Jalandhar, India. The conference focused on discussing issues, exchanging ideas, and the most recent innovations towards advancing research in the field of Computing Sciences and Technology. All technical sessions were predominantly related to Data Science, Artificial intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics, Cyber-Security, Computational Sciences, Simulation and modeling, Business Analytics, and Machine Learning.
Recent Advances in Computing Sciences: Proceedings of RACS 2022
by Sophiya Sheikh Manmohan Sharma Amar SinghThe 1st International Conference on Recent Advances in Computing Sciences (RACS-2022) organized by the School ofComputer Application, Lovely Professional University, Jalandhar, Punjab from 4th to 5th November, 2022.The conference focuses on discussing issues, exchanging ideas, and the most recent innovations towards the advancementof research in the field of Computing Sciences and Technology. All technical sessions were predominantlyrelated to Data Science, Artificial Intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics,Cyber Security, Computational Sciences, Simulation & Modelling, Business Analytics, and Machine Learning.The main objective of this conference is to provide a common platform for academia and industry to discuss varioustechnological challenges and share cognitive thoughts. It provided a thought-provoking platform to discuss anddisseminate novel solutions for real-world problems in a dynamic and changing technological environment. The mainsuccess of RACS-2022 is to give an opportunity for the participants to enhance their knowledge of recent computingtechnologies.
Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals (Studies in Systems, Decision and Control #170)
by Ju H. Park Hao Shen Xiao-Heng Chang Tae H. LeeThis book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.
Recent Advances in Data and Algorithms for e-Government (Artificial Intelligence-Enhanced Software and Systems Engineering #5)
by Christophe Gaie Mayuri MehtaThis book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence. The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence. Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand the ongoing modernization of public services.
Recent Advances in Data Science: Third International Conference on Data Science, Medicine, and Bioinformatics, IDMB 2019, Nanning, China, June 22–24, 2019, Revised Selected Papers (Communications in Computer and Information Science #1099)
by Henry Han Tie Wei Wenbin Liu Fei HanThis book constitutes selected papers of the Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China, in June 2019. The 19 full papers and 1 short paper were carefully reviewed and selected from 93 submissions. The papers are organized according to the following topical sections: business data science: fintech, management, and analytics.- health and biological data science.- novel data science theory and applications.
Recent Advances in Electrical and Electronic Engineering and Computer Science: Selected articles from ICCEE 2021, Malaysia (Lecture Notes in Electrical Engineering #865)
by Zahriladha Zakaria Seyed Sattar EmamianThis book highlights recent research works on computer science, electrical and electronic engineering which was presented virtually during the 3rd International Conference on Computer Science, Electrical & Electronic Engineering (ICCEE 2021), August 2021. Written by leading researchers and industry professionals, the papers highlight recent advances and address current issues in the respective fields.
Recent Advances in Electrical and Information Technologies for Sustainable Development: Proceedings of the 3rd International Conference on Electrical and Information Technologies — ICEIT 2017, Morocco (Advances in Science, Technology & Innovation)
by Soumia El Hani Mohamad EssaaidiThe book includes the best extended papers which were selected from the 3rd International Conference of Electrical and Information Technologies (ICEIT 2017, Morocco). The book spans two inter-related research domains which shaped modern societies, solved many of their development problems, and contributed to their unprecedented economic growth and social welfare. Selected papers are based on original and high quality research. They were peer reviewed by experts in the field. They are grouped into five parts. Part I deals with Power System and Electronics topics that include Power Electronics & Energy Conversion, Actuators & Micro/Nanotechnology, etc. Part II relates to Control Systems and their applications. Part III concerns the topic of Information Technology that basically includes Smart Grid, Information Security, Cloud Computing Distributed, Big Data, etc. Part IV discusses Telecommunications and Vehicular Technologies topics that include, Green Networking and Communications, Wireless Ad-hoc and Sensor Networks, etc. Part V covers Green Applications and Interdisciplinary topics, that include intelligent and Green Technologies for Transportation Systems, Smart Cities, etc. This book offers a good opportunity for young researchers, novice scholars and whole academic sphere to explore new trends in Electrical and information Technologies.
Recent Advances in Engineering Mathematics and Physics: Proceedings of the International Conference RAEMP 2019
by Mohamed Hesham Farouk Maha Amin HassaneinThis book gathers the proceedings of the 4th conference on Recent Advances in Engineering Math. & Physics (RAEMP 2019), which took place in Cairo, Egypt in December 2019. This international and interdisciplinary conference highlights essential research and developments in the field of Engineering Mathematics and Physics and related technologies and applications. The proceedings is organized to follow the main tracks of the conference: Advanced computational techniques in engineering and sciences; computational intelligence; photonics; physical measurements and big data analytics; physics and nano-technologies; and optimization and mathematical analysis.
Recent Advances in Ensembles for Feature Selection (Intelligent Systems Reference Library #147)
by Amparo Alonso-Betanzos Verónica Bolón-CanedoThis book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance. With the advent of Big Data, feature selection (FS) has become more necessary than ever to achieve dimensionality reduction. With so many methods available, it is difficult to choose the most appropriate one for a given setting, thus making the ensemble paradigm an interesting alternative. The authors first focus on the foundations of ensemble learning and classical approaches, before diving into the specific aspects of ensembles for FS, such as combining partial results, measuring diversity and evaluating ensemble performance. Lastly, the book shows examples of successful applications of ensembles for FS and introduces the new challenges that researchers now face. As such, the book offers a valuable guide for all practitioners, researchers and graduate students in the areas of machine learning and data mining.
Recent Advances in Hybrid Metaheuristics for Data Clustering (The Wiley Series in Intelligent Signal and Data Processing)
by Sourav DeAn authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering. Metaheuristics are designed to tackle complex clustering problems where classical clustering algorithms have failed to be either effective or efficient. The authors—noted experts on the topic—provide a text that can aid in the design and development of hybrid metaheuristics to be applied to data clustering. The book includes performance analysis of the hybrid metaheuristics in relationship to their conventional counterparts. In addition to providing a review of data clustering, the authors include in-depth analysis of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension. In addition, the book contains a range of real-life case studies and their applications. This important text: Includes performance analysis of the hybrid metaheuristics as related to their conventional counterparts Offers an in-depth analysis of a range of optimization algorithms Highlights a review of data clustering Contains a detailed overview of different standard metaheuristics in current use Presents a step-by-step guide to the build-up of hybrid metaheuristics Offers real-life case studies and applications Written for researchers, students and academics in computer science, mathematics, and engineering, Recent Advances in Hybrid Metaheuristics for Data Clustering provides a text that explores the current data clustering approaches using a range of computational intelligence techniques.
Recent Advances in Industrial and Applied Mathematics (SEMA SIMAI Springer Series #1)
by Tomás Chacón Rebollo Rosa Donat Inmaculada HiguerasThis open access book contains review papers authored by thirteen plenary invited speakers to the 9th International Congress on Industrial and Applied Mathematics (Valencia, July 15-19, 2019). Written by top-level scientists recognized worldwide, the scientific contributions cover a wide range of cutting-edge topics of industrial and applied mathematics: mathematical modeling, industrial and environmental mathematics, mathematical biology and medicine, reduced-order modeling and cryptography. The book also includes an introductory chapter summarizing the main features of the congress. This is the first volume of a thematic series dedicated to research results presented at ICIAM 2019-Valencia Congress.
Recent Advances in Industrial Production: Select Proceedings of ICEM 2020 (Lecture Notes in Mechanical Engineering)
by Rajeev Agrawal Jinesh Kumar Jain Vinod Singh Yadav Vijaya Kumar Manupati Leonilde VarelaThis book presents the select proceedings of the International Conference on Evolution in Manufacturing (ICEM 2020), and examines a range of areas including evolution in manufacturing, intelligent networks, bio-Inspired models and algorithms, internet-of-things, and cyber manufacturing. This book intends to provide a contribution to the domain of collaborative and intelligent networks and systems to fill the gap in theories and practical applications through suitable methods and solutions applicable to a wide range of instances. Various topics covered include broad range of research challenges in the fields of artificial intelligence and addressing current and future trends in industry 4.0 oriented scenario, data analytics and big data, operation and manufacturing management. The book will be a valuable reference for beginners, researchers and professionals interested in artificial intelligence in engineering and production management and allied fields.