Bücher der Reihe Studies in Computational Intelligence

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.

This book focuses on research issues, problems and opportunities in Biomedical Data Infrastructure identifying new issues and directions for future research in Biomedical Data and Information Retrieval, Semantics in Biomedicine, and Biomedical Data Modeling and Analysis.

This book presents a language integrated query framework for big data. For this research, the authors designed and programmed a framework based on the fundamentals of language integrated query to query existing data sources without the process of data restructuring.

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.

In light of the rapid rise of new trends and applications in various natural language processing tasks, this book presents high-quality research in the field. Each chapter addresses a common challenge in a theoretical or applied aspect of intelligent natural language processing related to Arabic language.

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

Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions.

This book describes and outlines the theoretical foundations of system simulation in teaching, and as a practical contribution to teaching-and-learning models.

This book offers an introduction to modern natural language processing using machine learning, focusing on how neural networks create a machine interpretable representation of the meaning of natural language.

The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images.

This book presents the bi-partial approach to data analysis, which is both uniquely general and enables the development of techniques for many data analysis problems, including related models and algorithms.