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Interpretable Convolutional Neural Networks using a rule-based framework for classification.- Smart Manufacturing Systems: A Game Theory.- Ensembles of Cluster Validation Indices for Label Noise Filtering.- Interpretation, Modeling, and Visualization of Crowdsourced Road Condition Data.- A New Network Flow Platform for Building Artificial Neural Networks.- Empowering SMEs with Cyber-Physical Production Systems: From Modelling a Polishing Process of Cutlery Production to CPPS Experimentation.- Intelligent Approach for Analysis of 3D Digitalization of Planer Objects for Visually  Impaired People.- Semantically Enriched Multi-level Sequential Pattern Mining for Exploring Heterogeneous  Event Log Data.- One Class Classification-based Anomaly Detection for Marine Engines.- Enhanced Methodologies in Photovoltaic Production with Energy Storage Systems Integrating Multi-cell Lithium-Ion Batterie.- Mobility in the Era of Digitalization: Thinking Mobility as a Service (MaaS).- Fuzzy Modelling Methodologies Based on OKID/ERA Algorithm Applied to Quadrotor Aerial Robots.- A Generic Architecture for Cyber-Physical-Social Space Applications.

This book describes the latest advances in intelligent techniques such as fuzzy logic, neural networks, and optimization algorithms, and their relevance in building intelligent information systems in combination with applied mathematics.

Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitable for graduate students.

This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization.

This book presents revised and extended versions of the best papers presented at the 9th International Joint Conference on Computational Intelligence (IJCCI 2017), held in Funchal, Madeira, from 1 to 3 November 2017.

This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations.

This is the fourth volume of the successful series Robot Operating Systems: The Complete Reference, providing a comprehensive overview of robot operating systems (ROS), which is currently the main development framework for robotics applications, as well as the latest trends and contributed systems.

Tensor-based anomaly detection for satellite telemetry data.- Machine learning in satellites monitoring and risk challenges.- Formalization, prediction and recognition of expert evaluations of telemetric data of artificial satellites based on type-II fuzzy sets.- Intelligent health monitoring systems for space missions based on data mining techniques.- Design, implementation, and validation of satellite simulator and data packets analysis.- Crop yield estimation using decision trees and random forest machine learning algorithms on data from terra (EOS AM-1) & aqua (EOS PM-1) satellite data.- Data analytics using satellite remote sensing in healthcare applications.- Design, Implementation, and Testing of Unpacking System for Telemetry Data of Artificial Satellites: Case Study: EGYSAT1.- Multiscale Satellite Image Classification using Deep Learning Approach.- Security approaches in machine learning for satellite communication.- Machine learning techniques for IoT intrusions detection in aerospace cyber physical systems.

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.

This edited book presents the scientific outcomes of the 17th International Conference on Software Engineering, Artificial Intelligence Research, Management and Applications (SERA 2019) held on May 29-31, 2019 in Honolulu, Hawaii.

The demand for surgical simulation continues to grow, as there is a major bottleneck in surgical simulation designation and every patient is unique. Deformable models, the core of surgical simulation, play a crucial role in surgical simulation designation.

In this book, the authors highlight recent findings that hold the potential to improve software products or development processes;

Robust Optimization Model for Designing Emerging Cloud-Fog Networks.- Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks.- Learning Neural Circuit by AC Operation and Frequency Signal Output.- IoTDoc: A Docker-Container based Architecture of IoT-enabled cloud system.- A Survival Analysis-Based Prioritization of Code CheckerWarning: A Case Study using PMD.- Elevator Monitoring System to Guide User''s Behavior by Visualizing the State 0f Crowdedness.- Choice Behavior Analysis of Internet Access Services Using Supervised Learning Models.- Norm-referenced Criteria for Strength of the Upper limbs for the Korean High School Baseball Players Using Computer Assisted Isokinetic Equipment.- A Feature Point Extraction and Comparison Method through Representative Frame Extraction and Distortion Correction for 360 Degree Realistic Contents.- Dimension Reduction by Word Clustering with Semantic Distance.- Word-Emotion Lexicon for Myanmar Language.- Release from the Curse of High Dimensional Data Analysis.- Evaluation of Inertial Sensor Configurations for Wearable Gait Analysis.- Index.

This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC'2017 & EGC'2018.

This unique book discusses a selection of highly relevant topics in the Social Internet of Things (SIoT), including blockchain, fog computing and data fusion.

The aim of the conference was to bring together researchers and scientists, businesspeople and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way.

The objective of the book is to provide the reader with comprehensive coverage on the Robot Operating System (ROS), which is currently considered to be the primary development framework for robotics applications, and the latest trends and contributing systems.

This book gathers the outcomes of the 18th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2019), which was held on June 12-14, 2019 in Beijing, China.

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis.

This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications.

Part I Automated NegotiationsFoundations on Automated NegotiationsRecent Adavnces on Automated NegotiationsSimulations on Automated NegotiationsApplications on Automated Negotiations Part II Automated Negotiating Agents CompetitionIntroduction on Automated Negotiating Agents CompetitionRecent Automated Negotiating Agents

This book gathers the outcomes of the 7th International Conference on Applied Computing and Information Technology (ACIT 2019), which was held on May 29-31, 2019 in Honolulu, Hawaii.

This book presents the outcomes of the 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2019), which was held on July 8-10, 2019, in Toyama, Japan.

It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more.

This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning.

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics.

This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. It has also gained strength through the amount and quality of data which is the main nucleus of data science.

It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more.