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This book comprises refereed papers presented at The International Conference on Artificial Intelligence and Power Engineering (AIPE2020), held in Moscow, Russia, on December 25-27, 2020.

This book presents the proceedings of the 14th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial Intelligence Tools, ICAFS-2020, held in Budva, Montenegro, on August 27-28, 2020.

This book discusses the recent research trends and upcoming applications based on artificial intelligence.

This book contains the papers presented at the 20th UK Workshop on Computational Intelligence (UKCI 2021), held virtually by Aberystwyth University, 8-10th September 2021. EDMA 2021, the 4th International Engineering Data- and Model-Driven Applications workshop, is also incorporated and held in conjunction with UKCI 2021.

This book presents the recent research adoption of a variety of enabling wireless communication technologies like RFID tags, BLE, ZigBee, etc., and embedded sensor and actuator nodes, and various protocols like CoAP, MQTT, DNS, etc., that has made Internet of things (IoT) to step out of its infancy to become smart things.

This book contains expanded versions of research papers presented at the international sessions of Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), which was held online in June 2020.

This book presents best selected papers presented at the International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2021) held from 4 - 5 March 2021 in online mode at C-DAC, Noida, India.

This book discusses an emerging area in computer science, IT, and management, i.e., decision sciences and management. The book includes a selection of the best papers presented at the Third International Conference on Decision Science and Management 2021 (ICDSM 2021), held at Hang Seng University of Hong Kong in China.

This book covers the latest advances for the development of artificial intelligence systems and their applications in various fields from medicine and technology to education. The proceedings comprise refereed papers presented at the Fourth International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2020), held at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia, in 3¿4 October 2020. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in medical engineering to increase the effectiveness of medical diagnosing and treatment. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of human and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide newapproaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and biomathematics; medical approaches; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that is relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence and bioinformatics systems as well as their growing applications. Intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.

This book presents a compilation of extended version of selected papers from the 19th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2020) and focuses on deep learning networks in applications such as pneumonia detection in chest X-ray images, object detection and classification, RGB and depth image fusion, NLP tasks, dimensionality estimation, time series forecasting, building electric power grid for controllable energy resources, guiding charities in maximizing donations, and robotic control in industrial environments. Novel ways of using convolutional neural networks, recurrent neural network, autoencoder, deep evidential active learning, deep rapid class augmentation techniques, BERT models, multi-task learning networks, model compression and acceleration techniques, and conditional Feature Augmented and Transformed GAN (cFAT-GAN) for the above applications are covered in this book. Readers will find insights to help them realize novel waysof using deep learning architectures and algorithms in real-world applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers.

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various topics covered in this book include deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge, data science, high performance computing, data mining and knowledge discovery, and data privacy and security. The book will be a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.

This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12-13 August 2020).

The problems that are worked in the book are the evaluation of the competence of the states, fuzzy classification, relationship between incentives and innovation, design of new products, analysis of profiles in social networks, innovation capabilities, software development, business growth, leadership and use of big data.

This book gathers selected high-quality research papers presented at the Fifth International Congress on Information and Communication Technology, held at Brunel University, London, on February 20-21, 2020.

This book presents the peer-reviewed proceedings of the 5th International Conference on Intelligent Computing and Applications (ICICA 2019), held in Ghaziabad, India, on December 6-8, 2019.

Gathering selected conference papers presented atthe International Conference on Trends in Computational and Cognitive Engineering (TCCE), it sharescutting-edge insights and ideas from mathematicians, engineers, scientists and researchers anddiscusses fresh perspectives on problem solving in a range of research areas.

It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems.

This book presents the proceedings of the 6th International Conference on Advanced Intelligent Systems and Informatics 2020 (AISI2020), which took place in Cairo, Egypt, from October 19 to 21, 2020.

This book presents findings from the papers accepted at the Cyber Security Education Stream and Cyber Security Technology Stream of The National Cyber SummitΓÇÖs Research Track, reporting on the latest advances on topics ranging from software security to cyber attack detection and modelling to the use of machine learning in cyber security to legislation and policy to surveying of small businesses to cyber competition, and so on. Understanding the latest capabilities in cyber security ensures that users and organizations are best prepared for potential negative events. This book is of interest to cyber security researchers, educators, and practitioners, as well as students seeking to learn about cyber security.

Faster Result Retrieval from Health Care Product Sales Data Warehouse using Materialized Queries.- Feature Selection using Ant Colony Optimization and Weighted Visibility Graph.- From Generic to Custom: A Survey on Role of Machine Learning in Pharmacogenomics, Its Applications and Challenges.- Personalized Structure Balance Theory Based Movie Recommendation System.- Machine Learning Techniques for the Investigation of Phishing Websites

This book covers topics like big data analyses, services, and smart data. It contains (i) invited papers, (ii) selected papers from the Sixth International Conference on Big Data Applications and Services (BigDAS 2018), as well as (iii) extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019).

This book includes the outcomes of the 11th International Symposium on Ambient Intelligence (ISAmI 2020). Initially planned on the 17th to the 19th of June 2020, it was postponed to the 7th to the 9th of October 2020, due to the COVID-19 outbreak.

A Framework for Developing a Set of Games for Children Diagnosed with Autism.- LinkLearn: Blockchain Technology As A Learning Tool.- New Era of the Nano-Electronic Devices - One of the Most Adaptive Learning Areas for the Next Period.- Open Source Online Conference System for Industry Experts Participation in Education.- Interactive TV And Music Education - Mobile Music Practices & Limitations: Learning Byzantine Music Online.- An Analysis For The Identification Of Use And Development Of Game Design Strategies For Early Childhood Learners.- Measuring knowledge gains in an m-learning intervention: The case of ChildConnect South Africa.- Measuring Uptake and Engagement in an m-learning Intervention: The Case of ChildConnect South Africa.- Development of a Classroom Response System: a Web-based approach used in SEPT.- Analysis of the Perception of Students of the Autonomous University of Baja California Sur for the use of m-learning environments in higher education.- Work-in-Progress: Development of a Framework for Incorporating Usability aspects with Digital Didactical Design for Mobile/Tablet based Learning in Pre-primary Education.- Promoting Authentic Student Assessment For STEM Project-Based Learning Activities.- Predictive Modelling Concerning Mobile Learning Advance.- Assessing Early Grade Mathematics Learner Outcomes Using m-Learning.- Users'' and Experts'' Evaluation of TARGET: a Serious Game for Mitigating Performance Enhancement Culture in Youth.- Poster: Exploring the Educational Affordances of an Academic Eportfolio for Engineer Students Through a Self-Regulated Learning Framework.- M-health as a Tool in the Cognitive Flexibility of the Elderly.- Critical categorization of Android and IOS Applications available for STEAM Education inEarly Childhood.- Museum exhibits that interact with students'' mobile devices. The case of Hellenic Maritime Museum.- Can Elementary Students Design Interactions And Learning Representations Of Educational Apps? The We!Design!Fractions Participatory Approach.- Pedagogical Considerations for Mobile-based Augmented Reality Learning Environments.- Machine learning & Deep learning: Recent Overview in Medical Care.- Learn to Code, an Interactive Application to Promote Mobile Student-Centred Learning.- Emerging Technologies and Augmented Reality in the development of Learning and Human Potential.- Level of Digital Literacies among Austrian College Students Assessed with an Online Survey.- A Gamefied Educational Network for Collaborative Learning.- Dynamic Mobile Student Response Approach.- Poster: The Use of a Virtual Personal Assistant (FENNChat) as a Platform for Providing Automated Responses to ODL Students'' Queries at UNISA.- Poster: Proposal of an Intelligent Model for Remote Tutoring.- A Comparative Study Of Augmented Reality Platforms For Building Educational Mobile Applications.- M-Learning: Are We Ready to Go Mobile?.- Framework For Automatic VPN Access To Remotely Discovered Resources.- Poster: Learn To Love My Grandchild Design With The User.- Enhancing Second Language Listening Skills through Smartphones: A Case Study.- Exposing Rural Indian Students to Mobile Assisted Language Learning: A Case Study.- How Can Facebook Use In Education Be Realized As Crowdsourcing Of Learning? An Exploration Of Junior, Senior And Graduates Working Together.- Concept of Digital Competences In-service Training Systems.- Means of Cyber Security Aspects Studying in Maritime Specialists Education.- Evaluating a Coaching MOOC Course to Support Dual Career of Athletes.- LoRa Technology Benefits in Educational Institutes.- Three IoT Wearables in Five European Cities! Reality and Perception.- Work-in-Progress: Designing an E-c

This book presents select peer-reviewed proceedings of the International Conference on Frontiers in Smart Systems Technologies (ICFSST 2019).

This book focuses on novel design and systems engineering approaches, including theories and best practices, for promoting a better integration of people and engineering systems.

This book contains works on mathematical and simulation modeling of processes in various domains: ecology and geographic information systems, IT, industry, and project management. The development of complex multicomponent systems requires an increase in accuracy, efficiency, and adequacy while reducing the cost of their creation.The studies presented in the book are useful to specialists who are involved in the development of real events models: analog, management and decision-making models, production models, and software products. Scientists can get acquainted with the latest research in various decisions proposed by leading scholars and identify promising directions for solving complex scientific and practical problems. The chapters of this book contain the contributions presented on the 15th International Scientific-Practical Conference, MODS, June 29ΓÇôJuly 01, 2020, Chernihiv, Ukraine.

This book contains accepted papers presented at SOCO 2020 conference held in the beautiful and historic city of Burgos (Spain), in September 2020.Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena.  After a through peer-review process, the SOCO 2020 International Program Committee selected 83 papers which are published in these conference proceedings and represents an acceptance rate of 35%. Due to the COVID-19 outbreak, the SOCO 2020 edition was blended, combining on-site and on-line participation. In this relevant edition a special emphasis was put on the organization of special sessions. Eleven special session were organized related to relevant topics such as: Soft Computing Applications in Precision Agriculture, Manufacturing and Management Systems, Management of Industrial and Environmental Enterprises, Logistics and Transportation Systems, Robotics and Autonomous Vehicles, Computer Vision, Laser-Based Sensing and Measurement and other topics such as Forecasting Industrial Time Series, IoT, Big Data and Cyber Physical Systems, Non-linear Dynamical Systems and Fluid Dynamics, Modeling and Control systemsThe selection of papers was extremely rigorous in order to maintain the high quality of SOCO conference editions and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the SOCO conference would not exist without their help.

They address various aspects of artificial intelligence such as smart manufacturing, smart maintenance, smart supply chain management, supervised learning, unsupervised learning, reinforcement learning, graph-based and semi-supervised learning, neural networks, deep learning, planning and optimization, and other AI applications.

Deep Learning Approach to Subepidermal Low Echogenic Band Segmentation in High Frequency Ultrasound.- A Review of Clustering Methods in Microorganism Image Analysis.- MRFU-Net: A Multiple Receptive Field U-Net for Environmental Microorganism Image Segmentation.- Deep Learning Approach to Automated Segmentation of Tongue in Camera Images for Computer-Aided Speech Diagnosis.- 3-D Tissue Image Reconstruction from Digitized Serial Histologic Sections to Visualize Small Tumor Nests in Lung Adenocarcinomas.- The Influence of Age on Morphometric and Textural Vertebrae Features in Lateral Cervical Spine Radiographs.- Evaluation of Shape from Shading Surface Reconstruction Quality for Liver Phantom.- Pancreas and Duodenum - Automated Organ Segmentation.