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• Chapter 1. Recent Trends in Interval Regression: Applications in Predicting Dengue Outbreaks.-
• Chapter 2. Fuzzy-Affine Approach in Dynamic Analysis of Uncertain Structural Systems.-
• Chapter 3. Fuzzy Application: Develop a Weather Index.-
• Chapter 4. Type-2 Fuzzy Linear Eigenvalue Problems with Application in Dynamic Structures.-
• Chapter 5. Fuzzy dynamical system in alcohol related health risk behaviors and beliefs.-
• Chapter 6. Curriculum Learning Based Artificial Neural Network Model for Solving Differential Equations.-
• Chapter 7. Analysis of EEG signal for drowsy detection: A machine learning approach.-
• Chapter 8. Uncertain Structural Parameter Identification by Intelligent Neural Training.-
• Chapter 9. Soft-Computing Tools embedded on Internet-of-Things can enhance Cyber Security.-
• Chapter 10. Security issues on IoT communication and evolving solutions.-
• Chapter 11. Causality and Its Applications.-
• Chapter 12. Hybrid Evolutionary Computing based Association Rule Mining.-
• Chapter 13. Towards Sarcasm Detection n Reviews - A dual parametric approach with Emojis and Ratings.
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This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations. Interdisciplinary sciences include various challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book. This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.
(source: Nielsen Book Data)

• From the contents Optimization of Industrial Processes using Improved and Modified Differential Evolution.- Noise-Robust Tool Condition Monitoring in Micro-Milling with Hidden Markov Models.- Dynamically Self-Generated Fuzzy Neural Networks with Industry Applications.- Kernel Estimators in Industrial Applications.- Negative Selection Algorithm with Applications in Motor Fault Detection.- Harmony Search Applications in Industry.- Soft Computing in Bioinformatics: Genomic and Proteomic Applications.- Evolutionary Regression and Neural Imputations of Missing Values.- Glowworm Swarm Optimization Algorithm for Hazard Sensing in Ubiquitous Environments using Heterogeneous Agent Swarms.- Self-Organization in Evolution for the Solving of Distributed Terrestrial Transportation Problems.- Statistical Forecasting of Indian Summer Monsoon Rainfall: An Enduring Challenge.- Fault Diagnosis of Electronic Circuits Using Cellular Automata Based Pattern Classifier.- A Survey of Artificial Neural Network-Based Modeling in Agroecology.
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Softcomputing techniques play a vital role in the industry. This book presents several important papers presented by some of the well-known scientists from all over the globe. The application domains discussed in this book include: agroecology, bioinformatics, branched fluid-transport network layout design, dam scheduling, data analysis and exploration, detection of phishing attacks, distributed terrestrial transportation, fault detection of motors, fault diagnosis of electronic circuits, fault diagnosis of power distribution systems, flood routing, hazard sensing, health care, industrial chemical processes, knowledge management in software development, local multipoint distribution systems, missing data estimation, parameter calibration of rainfall intensity models, parameter identification for systems engineering, petroleum vessel mooring, query answering in P2P systems, real-time strategy games, robot control, satellite heat pipe design, monsoon rainfall forecasting, structural design, tool condition monitoring, vehicle routing, water network design, etc. The softcomputing techniques presented in this book are on (or closely related to): ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models, case-based reasoning, clustering techniques, differential evolution, fuzzy classification, fuzzy neural networks, genetic algorithms, harmony search, hidden Markov models, locally weighted regression analysis, probabilistic principal component analysis, relevance vector machines, self-organizing maps, other machine learning and statistical techniques, and the combinations of the above techniques.
(source: Nielsen Book Data)

This book presents the proceedings of the 11th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW-2021, held in Antalya, Turkey, on August 23-24, 2021. The general scope of the book covers uncertain computation, decision making under imperfect information, neuro-fuzzy approaches, natural language processing, and other areas. The topics of the papers include theory and application of soft computing, computing with words, image processing with soft computing, intelligent control, machine learning, fuzzy logic in data mining, soft computing in business, economics, engineering, material sciences, biomedical engineering, and health care. This book is a useful guide for academics, practitioners, and graduates in fields of soft computing and computing with words. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.

• Detection of Denial of Service Attack using Deep Learning and Genetic Algorithm.- Fake Profile Detection and Stalking Prediction on Facebook.- Moving skills- a contributing factor in developmental delay.- Wind speed forecasting for India using machine learning algorithms.- A Comparative Study of Supervised Learning Techniques for Remote Sensing Image Classification.- Postal Service Shop Floor - Facility Layout Evaluation and Selection using Fuzzy AHP Method.
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This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.
(source: Nielsen Book Data)

• Machine and Deep Learning.- Image Processing and Pattern Recognition.- Evolutionary and Metaheuristic Algorithms.- Natural Language Processing.- Intelligent Applications and Robotics.
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The two-volume set LNAI 13067 and 13068 constitutes the proceedings of the 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, held in Mexico City, Mexico, in October 2021.The total of 58 papers presented in these two volumes was carefully reviewed and selected from 129 submissions. The first volume, Advances in Computational Intelligence, contains 30 papers structured into three sections: - Machine and Deep Learning - Image Processing and Pattern Recognition - Evolutionary and Metaheuristic Algorithms The second volume, Advances in Soft Computing, contains 28 papers structured into two sections: - Natural Language Processing - Intelligent Applications and Robotics.
(source: Nielsen Book Data)

• Theory and Methods.- Systems and Applications. .
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This book constitutes the refereed proceedings of the Second International Conference on Soft Computing and its Engineering Applications, icSoftComp 2020, held in Changa, India, in December 2020. Due to the COVID-19 pandemic the conference was held online. The 24 full papers and 4 short papers presented were carefully reviewed and selected from 252 submissions. The papers present recent research on theory and applications in fuzzy computing, neuro computing, and evolutionary computing.
(source: Nielsen Book Data)

This book presents the proceedings of the 8th International Workshop on Soft Computing Applications, SOFA 2018, held on 13-15 September 2018 in Arad, Romania. The workshop was organized by Aurel Vlaicu University of Arad, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society of Control Engineering and Technical Informatics - Arad Section, General Association of Engineers in Romania - Arad Section and BTM Resources Arad. The papers included in these proceedings, published post-conference, cover the research including Knowledge-Based Technologies for Web Applications, Cloud Computing, Security Algorithms and Computer Networks, Business Process Management, Computational Intelligence in Education and Modelling and Applications in Textiles and many other areas related to the Soft Computing. The book is directed to professors, researchers, and graduate students in area of soft computing techniques and applications.
(source: Nielsen Book Data)

• Object Detection from the Seabed Imaging Data Using Soft Computing Techniques.- Enhanced Voltage Regulation of Sixteen Bus Micro Grid System Using Sliding Mode Controller.- Comparitive Review of MAC Architectures.- Proposal of ASLR for Voice Disorders.- Methodological Analysis with Informative Science in Bioinformatics.- Effect of Laser Pulse in Modified TPL GN-Thermoelastic Transversely Isotropic Euler Bernoulli Nanobeam.- Designing Techniques for 4G LTE Networks With QoS-Aware RD Network Based on Radio Resource Organization Approach.- Enhancing Software Quality Assurance by Using Knowledge Discovery and Bug Prediction Techniques.- Design and Analysis of thin Micro-Mechanical Suspended Dielectric RF MEMS Switch for 5G and IoT Applications.- Design and Development of Stemmer of Dogri Using Unsupervised Learning.- Credit Card Fraud Detection Techniques: A Review.- An Integrated Approach of Conventional and Deep Learning Method for Underwater Image Enhancement.- A Survey on Plant Disease Detection Methods For Building a Robust Plant Disease Detection System.- Troubleshooting Fluctuations in Power System & Network Harmonic Analysis.
• (source: Nielsen Book Data)

This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18-20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification intelligence system and applications in agriculture, health care, smart grid and instrumentation systems. The book is helpful for educators, researchers and developers working in the area of recent advances and upcoming technologies utilizing computational sciences in signal processing, imaging, computing, instrumentation, artificial intelligence and their applications. .
(source: Nielsen Book Data)

• Swarm Programming using Multi-Verse Optimizer.- Muzzle Pattern based Cattle Identification Using Generative Adversarial Networks.- Diverse Sports Video Classification Using Large Space MPEG Features.- An Intelligent Method for Plastic Money Fraud Detection using Isolation Forest Classifier.- Mixed Differential Evolution and Genetic Algorithm Hybridization for Solving Global Optimization Problems.- Energy Neutral Classroom.
• (source: Nielsen Book Data)

This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
(source: Nielsen Book Data)

• A deep semi-supervised approach for multi-label land-cover classification under scarcity of labelled images.- Role of individual samples in Modified Possibilistic c-Means classifier for handling heterogeneity within mustard crop.- Specially Structured Flow Shop Scheduling Models with processing times as Trapezoidal Fuzzy Numbers to optimize Waiting time of Jobs.- Potential Fishing Zone Characterization in the Indian Ocean by Machine Learning Approach.- A novel method to optimize interval length for intuitionistic fuzzy time series.- Low Altitude Unmanned Aerial Vehicle For Real Time Green House Plant Disease Monitoring Using Convolutional Neural Network.
• (source: Nielsen Book Data)

This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
(source: Nielsen Book Data)

• Scene Character Recognition with Morphological Filtering and HOG Features.- Rice Disease Detection and Monitoring Using CNN and AR Enabled Application.- Air Quality Prediction Using Artificial Neural Network.- Crime Rate Prediction Using Machine Learning and Data Mining.- Fraud Rate Prediction in E-Banking Systems Using Machine Learning and Data Mining: A Perspective in Bangladesh.- Novel User Preference Recommender System Based on Twitter Profile Analysis.- Cycloconverter-fed Capacitor-Start-Capacitor-Run Induction Motor Drive: Simulation Analysis.- Simulation and Analysis of Seven-Level Voltage Source Inverter.- Study of Protection, Fault and Condition Monitoring of Induction Motor.- Aerodynamic Modelling and Analysis of Wind Turbine.
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Focusing on soft computing techniques and application in various engineering research domains, this book presents the state-of-the-art outcomes from ongoing research works being conducted in various research laboratories and educational institutions. The included research works deal with estimated models and give resolutions to complex real-life issues. In the field of evolutionary computing and other domains of applications, such as, data mining and fuzzy logic, soft computing techniques play an incomparable role, where it successfully handles contemporary computationally intensive and complex problems that have usually appeared to be inflexible to traditional mathematical methods. Comprising the concepts and applications of soft computing with other emerging research domains, this book cherishes varieties of modern applications in the fields of natural language processing, image processing, biomedical engineering, communication, control systems, circuit design etc. .
(source: Nielsen Book Data)

• A study on the Effect of Optimal Control Strategies: An SIR Model with Delayed Logistic Growth
• Emperor Penguin Optimized Clustering for Improved Multilevel Hierarchical Routing in Wireless Sensor Networks
• A Collaborative Filtering based Recommendation System for Preliminary Detection of COVID-19
• Frequencies of nonuniform triangular plate with two-dimensional parabolic temperature
• Machine Learning in Finance: Towards Online Prediction of Loan Defaults Using Sequential Data with LSTMs.

This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.

This book presents the proceedings of the 10th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions, ICSCCW 2019, held in Prague, Czech Republic, on August 27-28, 2019. It includes contributions from diverse areas of soft computing and computing with words, such as uncertain computation, decision-making under imperfect information, neuro-fuzzy approaches, deep learning, natural language processing, and others. The topics of the papers include theory and applications of soft computing, information granulation, computing with words, computing with perceptions, image processing with soft computing, probabilistic reasoning, intelligent control, machine learning, fuzzy logic in data analytics and data mining, evolutionary computing, chaotic systems, soft computing in business, economics and finance, fuzzy logic and soft computing in earth sciences, fuzzy logic and soft computing in engineering, fuzzy logic and soft computing in material sciences, soft computing in medicine, biomedical engineering, and pharmaceutical sciences. Showcasing new ideas in the field of theories of soft computing and computing with words and their applications in economics, business, industry, education, medicine, earth sciences, and other fields, it promotes the development and implementation of these paradigms in various real-world contexts. This book is a useful guide for academics, practitioners and graduates.

• Self-Taught Learning: Image Classification Using Stacked Autoencoders.- Performance analysis of Whale Optimization Algorithm Based on Strategy Parameter.- Comparison of PSO and Sequential Search algorithms for improvisation of entropy based ear localization.- An upgraded differential evolution via memory based mechanism for economic dispatch.- Some Applications of Generalized Fuzzy gamma*-Closed Sets.-Multi-Headed Self-Attention based Hierarchical Model for Extractive Summarization.
• (source: Nielsen Book Data)

This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to identify potential future directions. The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in areas such as algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods. .
(source: Nielsen Book Data)

• Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm.- Development of Fuzzy Knowledge Based System for Water Quality Assessment in River Ganga.- A Hybrid Framework for Fire Outbreak Detection Based on Interval Type-2 Fuzzy Logic and Flower Pollination Algorithm.- Using convolutional neural networks to predict colon cancer patients survival.- An Array P system Based on a Variant of Pure 2D Context-free Grammars.- Predictions of weekly slope movements using moving-average and neural-network methods: A case-study in Chamoli, India.
• (source: Nielsen Book Data)

This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to identify potential future directions. The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in areas such as algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods. .
(source: Nielsen Book Data)

• Soft Computing Techniques for Time Series Analysis.- Soft Computing and Fuzy Logic in Biometrics.- Fuzzy Applications Theory and Fuzzy Control.- Bussiness Process Management.- Methods and Applications in Electrical Engineering.
• (source: Nielsen Book Data)

These volumes constitute the Proceedings of the 6th International Workshop on Soft Computing Applications, or SOFA 2014, held on 24-26 July 2014 in Timisoara, Romania. This edition was organized by the University of Belgrade, Serbia in conjunction with Romanian Society of Control Engineering and Technical Informatics (SRAIT) - Arad Section, The General Association of Engineers in Romania - Arad Section, Institute of Computer Science, Iasi Branch of the Romanian Academy and IEEE Romanian Section. The Soft Computing concept was introduced by Lotfi Zadeh in 1991 and serves to highlight the emergence of computing methodologies in which the accent is on exploiting the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solution cost. Soft computing facilitates the use of fuzzy logic, neurocomputing, evolutionary computing and probabilistic computing in combination, leading to the concept of hybrid intelligent systems. The combination of such intelligent systems tools and a large number of applications introduce a need for a synergy of scientific and technological disciplines in order to show the great potential of Soft Computing in all domains. The conference papers included in these proceedings, published post conference, were grouped into the following area of research: * Image, Text and Signal Processing * Intelligent Transportation* Modeling and Applications* Biomedical Applications"/ul>Neural Network and Applications* Knowledge-Based Technologies for Web Applications, Cloud Computing, Security, Algorithms and Computer Networks* Knowledge-Based Technologies* Soft Computing Techniques for Time Series Analysis* Soft Computing and Fuzzy Logic in Biometrics* Fuzzy Applications Theory and Fuzzy Control* Business Process Management* Methods and Applications in Electrical Engineering The volumes provide useful information to professors, researchers and graduated students in area of soft computing techniques and applications, as they report new research work on challenging issues.
(source: Nielsen Book Data)

• 1. Iris feature extraction using three-level Haar wavelet transform and modified local binary pattern 2. A novel crypt-intelligent cryptosystem 3. Behavioral malware detection and classification using deep learning approaches 4. Optimization techniques and computational intelligence with emerging trends in cloud computing and Internet of Things 5. Bluetooth security architecture cryptography based on genetic codons 6. Estimation of the satellite bandwidth required for the transmission of information in supervisory control and data acquisition systems 7. Using artificial intelligence search in solving the camera placement problem 8. Nanotechnology and applications
• 9. Advances of nanotechnology in plant development and crop protection 10. A methodology for designing knowledge-based systems and applications 11. IoT in healthcare ecosystem.
• (source: Nielsen Book Data)

Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing.
(source: Nielsen Book Data)

• Ranking of Innovation and Sustainability of Tourist Destinations in Sinaloa: An Analysis with the Ordered Weighted Average Operator.- Dimensional Analysis under Pythagorean Fuzzy Set with Hesitant Linguists Term Entropy Information.- Conditions of Technology Access for Remote Work in the Quaternary Sector in Mexico in Times of COVID-19.
• (source: Nielsen Book Data)

This book provides recent research on soft computing and fuzzy methodologies in innovation management and sustainability. The uncertainty in the business world is increasing. Significant changes are generated unexpectedly, so using fuzzy logic and soft computing methods allows us to create flexible scenarios adaptable to new realities. Within the book, we will find different applications of fuzzy methodologies that can apply to various topics such as sustainability, innovation, tourism, costs, exports, systems administration, among others. The book's main contribution is the applicability of the various methodologies to specific cases, which allows generating a relationship between theory and practice. In addition, it has some bibliometric studies on various topics that give us a visualization of what has happened and where multiple topics are headed. This book is recommended mainly for students who wish to know how the various fuzzy and soft computing tools can be taken to real situations, allowing a better understanding of these and generating new visions of future applicability.
(source: Nielsen Book Data)