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38 produkter
38 produkter
1 038 kr
Skickas inom 10-15 vardagar
EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN and SVM classifiers, discuss RBF neural networks trained with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal. Final chapter present future developments in the field.
This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need the most recent and promising automated techniques for EEG classification.
Explores machine learning techniques that have been modified and validated for the purpose of EEG signal classification using Discrete Wavelet Transform for the identification of epileptic seizures Encompasses machine learning techniques, providing an easily understood resource for both non-specialized readers and biomedical researchers Provides a number of experimental analyses, with their results discussed and appropriately validated
Intelligent Techniques in Recommendation Systems
Contextual Advancements and New Methods
Inbunden, Engelska, 2012
2 490 kr
Skickas inom 5-8 vardagar
Del 6 - Advances in Computer Science and Engineering: Texts
Knowledge Mining Using Intelligent Agents
Inbunden, Engelska, 2010
1 668 kr
Skickas inom 3-6 vardagar
Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines — data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.).By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data.
Del 39 - Studies in Big Data
Cloud Computing for Optimization: Foundations, Applications, and Challenges
Häftad, Engelska, 2019
1 095 kr
Skickas inom 10-15 vardagar
This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems – ranging from social science to engineering sciences – can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.
Del 10 - Learning and Analytics in Intelligent Systems
Biologically Inspired Techniques in Many-Criteria Decision Making
International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019)
Inbunden, Engelska, 2020
2 183 kr
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This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems.
Del 10 - Learning and Analytics in Intelligent Systems
Biologically Inspired Techniques in Many-Criteria Decision Making
International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019)
Häftad, Engelska, 2021
2 183 kr
Skickas inom 10-15 vardagar
This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems.
Del 185 - Intelligent Systems Reference Library
Journey Towards Bio-inspired Techniques in Software Engineering
Inbunden, Engelska, 2020
1 095 kr
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Rather than focusing on a single aspect of software engineering, this book provides a systematic overview of recent techniques, including requirement gathering in the form of story points in agile software, and bio-inspired techniques for estimating the effort, cost, and time required for software development.
Del 185 - Intelligent Systems Reference Library
Journey Towards Bio-inspired Techniques in Software Engineering
Häftad, Engelska, 2021
1 095 kr
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Rather than focusing on a single aspect of software engineering, this book provides a systematic overview of recent techniques, including requirement gathering in the form of story points in agile software, and bio-inspired techniques for estimating the effort, cost, and time required for software development.
Innovations in Intelligent Computing and Communication
First International Conference, ICIICC 2022, Bhubaneswar, Odisha, India, December 16-17, 2022, Proceedings
Häftad, Engelska, 2022
986 kr
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This book contains the papers presented at the First International Conference on Innovations in Intelligent Computing and Communication, ICIICC 2021, held in Bhubaneswar, Odisha, India, in December, 2022. The 31 full papers presented were thoroughly reviewed and selected from 78 submissions.
650 kr
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Del 40 - Learning and Analytics in Intelligent Systems
Machine Intelligence, Tools, and Applications
Proceedings of the International Conference on Machine Intelligence, Tools, and Applications—ICMITA 2024
Inbunden, Engelska, 2024
2 401 kr
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This book presents the recent advances including tools and techniques in the constantly changing landscape of machine learning (ML). This would enable the readers with a strong understanding of critical issues in ML by providing both broad and detailed perspectives on cutting-edge theories, algorithms, and tools.
Del 40 - Learning and Analytics in Intelligent Systems
Machine Intelligence, Tools, and Applications
Proceedings of the International Conference on Machine Intelligence, Tools, and Applications—ICMITA 2024
Häftad, Engelska, 2025
2 183 kr
Skickas inom 10-15 vardagar
This book presents the recent advances including tools and techniques in the constantly changing landscape of machine learning (ML). This would enable the readers with a strong understanding of critical issues in ML by providing both broad and detailed perspectives on cutting-edge theories, algorithms, and tools. This will become a single source of reference on conceptual, methodological, technical, and managerial issues, as well as provide insight into emerging trends and future opportunities in the discipline of ML. This book contains altogether 36 chapters in the area of ML and its applications.
Del 45 - Learning and Analytics in Intelligent Systems
Biologically Inspired Techniques in Many Criteria Decision-Making
Proceedings of BITMDM 2024
Inbunden, Engelska, 2025
2 331 kr
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This book includes selected high-quality research papers presented at 3rd International Conference on Biologically Inspired Techniques in Many Criteria Decision Making (BITMDM 2024) organized by School of Engineering and Technology, Nagaland University, Dimapur, India on 6th and 7th December 2024.
Del 7 - Artificial Intelligence-Enhanced Software and Systems Engineering
Boosting Software Development Using Machine Learning
Inbunden, Engelska, 2025
2 183 kr
Skickas inom 10-15 vardagar
The potential of Generative AI for automating repetitive tasks and enhancing code quality is highlighted, along with ML applications in optimizing testing, effort estimation, design pattern recognition, fault prediction, debugging, and security through anomaly detection.
Del 274 - Intelligent Systems Reference Library
Advances in Quantum Inspired Artificial Intelligence
Techniques and Applications
Inbunden, Engelska, 2025
2 173 kr
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Quantum computing (QC), rooted in the mysterious principles of quantum mechanics, has fascinated scientists, researchers, and visionaries for a long time. Its potential lies in changing how we compute, moving from classical bits to quantum bits (qubits), and unlocking incredible processing capabilities.
Del 8 - Artificial Intelligence-Enhanced Software and Systems Engineering
Green Artificial Intelligence and Industrial Applications (G-AIIA)
Inbunden, Engelska, 2025
2 331 kr
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This proceeding book explores emerging field of Green AI, which emphasizes innovations to make AI more environmentally sustainable. Green AI seeks to mitigate the environmental impact of AI technologies by streamlining algorithms, enhancing hardware efficiency, and adopting eco-friendly data management practices—all while maintaining the high performance that modern AI systems promise. It addresses the challenges and opportunities associated with reducing AI’s energy consumption, lowering carbon emissions, and promoting ethical and responsible AI practices. The book insights into the development of energy-efficient algorithms by design (Green-in-AI) as well as algorithms specifically created to tackle environmental challenges (Green-by-AI). It highlights the potential of Green AI in fostering a more sustainable technological future, which inspires researchers, engineers, and innovators to pursue ideas and solutions that balance technological advancement with environmental stewardship.
Proceedings of the International Conference on Wireless Sensor Networks, Ubiquitous Computing and Applications
ICWSNUCA 2026
Inbunden, Engelska, 2026
4 313 kr
Kommande
This book includes high-quality research papers presented at the Second International Conference on Wireless Sensor Networks, Ubiquitous Computing and Applications (ICWSNUCA, 2026), which is held at Gokaraju Lailavathi Engineering College, GRIET Campus, Hyderabad, India, during 20–21 February 2026. This book focuses on the applications, use-cases, architectures, deployments, and recent advances of wireless sensor networks as well as ubiquitous 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.
Frontiers in Advanced Computing and Emerging Intelligent Technologies
Proceedings of FACEIT-2026
Inbunden, Engelska, 2026
3 385 kr
Kommande
This book presents rigorously peer-reviewed contributions that capture the latest advances in intelligent computing systems and scalable computational infrastructures, offering practical solutions to real-world challenges across domains such as healthcare, cybersecurity, smart systems, and data-driven decision-making. It provides readers with a consolidated view of how modern computing paradigms and intelligent technologies are converging to address complex, dynamic, and large-scale problems.This book adopts a dual perspective by integrating advanced computing methodologies with emerging intelligent technologies, enabling a holistic understanding of both system-level innovations and intelligent application development. Unlike traditional collections that treat these domains independently, this book highlights their interdependence through contributions spanning distributed systems, cloud and edge computing, optimization techniques, and software engineering, alongside artificial intelligence, machine learning, computer vision, and data science.The contributions included in this book are selected from the International Conference on Frontiers in Advanced Computing and Emerging Intelligent Technologies (FACEIT 2026), hosted by the Department of Computer Science and Engineering, National Institute of Technology Warangal, India, during July 10–11, 2026. The conference served as a platform for researchers, academicians, and industry practitioners to present innovative research, exchange ideas, and foster collaborations in cutting-edge areas of computing and intelligent systems. All papers underwent a rigorous peer-review process to ensure high academic quality and relevance.The scope of the book is broad and interdisciplinary, covering topics such as cyber-physical systems, vehicular networks, secure communication protocols, intelligent optimization, and scalable data processing frameworks, as well as applications in sentiment analysis, recommender systems, fairness-aware machine learning, and multimodal perception. A significant portion of the work is dedicated to healthcare and biomedical intelligence, including medical imaging, disease prediction, clinical decision systems, and bioinformatics, reflecting the growing importance of AI-driven solutions in critical domains. Additionally, contributions on explainable AI, bias mitigation, and trustworthy systems emphasize responsible and ethical deployment of intelligent technologies.
1 639 kr
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With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.
Del 19 - Adaptation, Learning, and Optimization
Computational Intelligence for Big Data Analysis
Frontier Advances and Applications
Inbunden, Engelska, 2015
1 095 kr
Skickas inom 10-15 vardagar
The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.
Del 17 - Studies in Big Data
Techniques and Environments for Big Data Analysis
Parallel, Cloud, and Grid Computing
Inbunden, Engelska, 2016
1 095 kr
Skickas inom 10-15 vardagar
This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chaptersproviding a concise introduction to Big Data Analysis and recent Techniques and Environments forBig Data Analysis. It gives insightinto how the expensive fitness evaluation of evolutionarylearning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.
1 639 kr
Skickas inom 10-15 vardagar
With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.
Del 19 - Adaptation, Learning, and Optimization
Computational Intelligence for Big Data Analysis
Frontier Advances and Applications
Häftad, Engelska, 2016
1 095 kr
Skickas inom 10-15 vardagar
The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.
Del 39 - Studies in Big Data
Cloud Computing for Optimization: Foundations, Applications, and Challenges
Inbunden, Engelska, 2018
1 095 kr
Skickas inom 10-15 vardagar
This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems – ranging from social science to engineering sciences – can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.
Del 17 - Studies in Big Data
Techniques and Environments for Big Data Analysis
Parallel, Cloud, and Grid Computing
Häftad, Engelska, 2018
1 095 kr
Skickas inom 10-15 vardagar
This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it.
Del 98 - Studies in Computational Intelligence
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
Inbunden, Engelska, 2008
1 095 kr
Skickas inom 10-15 vardagar
Data Mining (DM) is the most commonly used name to describe such computational analysis of data and the results obtained must conform to several objectives such as accuracy, comprehensibility, interest for the user etc. Though there are many sophisticated techniques developed by various interdisciplinary fields only a few of them are well equipped to handle these multi-criteria issues of DM. Therefore, the DM issues have attracted considerable attention of the well established multiobjective genetic algorithm community to optimize the objectives in the tasks of DM.The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.
1 639 kr
Skickas inom 10-15 vardagar
Multi-objective optimization deals with the simultaneous optimization of two or more objectives which are normally in con?ict with each other. Since mul- objective optimization problems are relatively common in real-world appli- tions, this area has become a very popular research topic since the 1970s. However, the use of bio-inspired metaheuristics for solving multi-objective op- mization problems started in the mid-1980s and became popular until the mid- 1990s. Nevertheless, the e?ectiveness of multi-objective evolutionary algorithms has made them very popular in a variety of domains. Swarm intelligence refers to certain population-based metaheuristics that are inspired on the behavior of groups of entities (i.e., living beings) interacting locallywitheachotherandwiththeirenvironment.Suchinteractionsproducean emergentbehaviorthatismodelledinacomputerinordertosolveproblems.The two most popular metaheuristics within swarm intelligence are particle swarm optimization (which simulates a ?ock of birds seeking food) and ant colony optimization (which simulates the behavior of colonies of real ants that leave their nest looking for food).These two metaheuristics havebecome verypopular inthelastfewyears,andhavebeenwidelyusedinavarietyofoptimizationtasks, including some related to data mining and knowledge discovery in databases. However, such work has been mainly focused on single-objective optimization models. The use of multi-objective extensions of swarm intelligence techniques in data mining has been relatively scarce, in spite of their great potential, which constituted the main motivation to produce this book.
1 064 kr
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Over the past two decades, swarm intelligence has emerged as a powerful approach to solving optimization as well as other complex problems. Swarm intelligence models are inspired by social behaviours of simple agents interacting among themselves as well as with the environment, e.g., flocking of birds, schooling of fish, foraging of bees and ants. The collective behaviours that emerge out of the interactions at the colony level are useful in achieving complex goals.The main aim of this research book is to present a sample of recent innovations and advances in techniques and applications of swarm intelligence. Among the topics covered in this book include: particle swarm optimization and hybrid methods, ant colony optimization and hybrid methods, bee colony optimization, glowworm swarm optimization, and complex social swarms, application of various swarm intelligence models to operational planning of energy plants, modeling and control of nanorobots, classification of documents, identification of disease biomarkers, and prediction of gene signals.The book is directed to researchers, practicing professionals, and undergraduate as well as graduate students of all disciplines who are interested in enhancing their knowledge in techniques and applications of swarm intelligence.
Del 98 - Studies in Computational Intelligence
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
Häftad, Engelska, 2010
1 064 kr
Skickas inom 10-15 vardagar
Data Mining (DM) is the most commonly used name to describe such computational analysis of data and the results obtained must conform to several objectives such as accuracy, comprehensibility, interest for the user etc. Though there are many sophisticated techniques developed by various interdisciplinary fields only a few of them are well equipped to handle these multi-criteria issues of DM. Therefore, the DM issues have attracted considerable attention of the well established multiobjective genetic algorithm community to optimize the objectives in the tasks of DM.The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.
Del 242 - Studies in Computational Intelligence
Swarm Intelligence for Multi-objective Problems in Data Mining
Häftad, Engelska, 2012
1 639 kr
Skickas inom 10-15 vardagar
Multi-objective optimization deals with the simultaneous optimization of two or more objectives which are normally in con?ict with each other. Since mul- objective optimization problems are relatively common in real-world appli- tions, this area has become a very popular research topic since the 1970s. However, the use of bio-inspired metaheuristics for solving multi-objective op- mization problems started in the mid-1980s and became popular until the mid- 1990s. Nevertheless, the e?ectiveness of multi-objective evolutionary algorithms has made them very popular in a variety of domains. Swarm intelligence refers to certain population-based metaheuristics that are inspired on the behavior of groups of entities (i.e., living beings) interacting locallywitheachotherandwiththeirenvironment.Suchinteractionsproducean emergentbehaviorthatismodelledinacomputerinordertosolveproblems.The two most popular metaheuristics within swarm intelligence are particle swarm optimization (which simulates a ?ock of birds seeking food) and ant colony optimization (which simulates the behavior of colonies of real ants that leave their nest looking for food).These two metaheuristics havebecome verypopular inthelastfewyears,andhavebeenwidelyusedinavarietyofoptimizationtasks, including some related to data mining and knowledge discovery in databases. However, such work has been mainly focused on single-objective optimization models. The use of multi-objective extensions of swarm intelligence techniques in data mining has been relatively scarce, in spite of their great potential, which constituted the main motivation to produce this book.