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Advances in Network-Based Information Systems: The 25th International Conference on Network-Based Information Systems (NBiS-2022) (Lecture Notes in Networks and Systems #526)
by Leonard Barolli Hiroyoshi Miwa Tomoya EnokidoThe networks and information systems of today are evolving rapidly. There are new trends and applications in information networking such as wireless sensor networks, ad hoc networks, peer-to-peer systems, vehicular networks, opportunistic networks, grid and cloud computing, pervasive and ubiquitous computing, multimedia systems, security, multi-agent systems, high-speed networks, and web-based systems. These kinds of networks need to manage the increasing number of users, provide support for different services, guarantee the QoS, and optimize the network resources. For these networks, there are many research issues and challenges that should be considered and find solutions. The aim of the book “Advances in Network-Based Information Systems” is to provide latest research findings, innovative research results, methods, and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and their applications.
Managing and Implementing the Digital Transformation: Proceedings of the 1st International Symposium on Industrial Engineering and Automation ISIEA 2022 (Lecture Notes in Networks and Systems #525)
by Dominik T. Matt Renato Vidoni Erwin Rauch Patrick DallasegaThis book shows how companies can practically implement the advantages of Industry 4.0 and digitalization and also addresses the current challenges with regard to engineering education for Industry 4.0. In this book, we collect the contributions of the 1st Symposium on Industrial Engineering and Automation (ISIEA 2022), which took place from June 21–22, 2022 at the Free University of Bolzano. The contributions cover three basic areas: (1) best practice examples and technical solutions for the implementation of Industry 4.0 in production and logistics, (2) management-oriented approaches for the digital transformation in companies, and (3) addressing Industry 4.0 in engineering education. The book targets different readers. Researchers find approaches to current research topics regarding Industry 4.0. Practitioners find valuable examples for technological implementations as well as management approaches for introducing digitalization. Students and lecturers find hints on how Industry 4.0 can be integrated into university teaching.
Recent Advances in Mechanics and Fluid-Structure Interaction with Applications: The Bong Jae Chung Memorial Volume (Advances in Mathematical Fluid Mechanics)
by Fernando Carapau Ashwin VaidyaThis volume examines current research in mechanics and its applications to various disciplines, with a particular focus on fluid-structure interaction (FSI). The topics have been chosen in commemoration of Dr. Bong Jae Chung and with respect to his wide range of research interests. This volume stands apart because of this diversity of interests, featuring an interdisciplinary and in-depth analysis of FSI that is difficult to find conveniently collected elsewhere in the literature. Contributors include mathematicians, physicists, mechanical and biomechanical engineers, and psychologists. This volume is structured into four thematic areas in order to increase its accessibility: theory, computations, experiments, and applications. Recent Advances in Mechanics and Fluid-Structure Interaction with Applications will appeal to established researchers as well as postdocs and graduate students interested in this active area of research.
Database and Expert Systems Applications - DEXA 2022 Workshops: 33rd International Conference, DEXA 2022, Vienna, Austria, August 22–24, 2022, Proceedings (Communications in Computer and Information Science #1633)
by Gabriele Kotsis A Min Tjoa Ismail Khalil Bernhard Moser Alfred Taudes Atif Mashkoor Johannes Sametinger Jorge Martinez-Gil Florian Sobieczky Lukas Fischer Rudolf Ramler Maqbool Khan Gerald CzechThis volume constitutes the refereed proceedings of the workshops held at the 33rd International Conference on Database and Expert Systems Applications, DEXA 2022, held in Vienna, Austria, in August 2022: The 6th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems (IWCFS 2022); 4th International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2022); 2nd International Workshop on Time Ordered Data (ProTime2022); 2nd International Workshop on AI System Engineering: Math, Modelling and Software (AISys2022); 1st International Workshop on Distributed Ledgers and Related Technologies (DLRT2022); 1st International Workshop on Applied Research, Technology Transfer and Knowledge Exchange in Software and Data Science (ARTE2022). The 40 papers were thoroughly reviewed and selected from 62 submissions, and discuss a range of topics including: knowledge discovery, biological data, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligence.
Experimental Studies in Learning Technology and Child–Computer Interaction (SpringerBriefs in Educational Communications and Technology)
by Michail GiannakosThis book is about the ways in which experiments can be employed in the context of research on learning technologies and child–computer interaction (CCI). It is directed at researchers, supporting them to employ experimental studies while increasing their quality and rigor. The book provides a complete and comprehensive description on how to design, implement, and report experiments, with a focus on and examples from CCI and learning technology research. The topics covered include an introduction to CCI and learning technologies as interdisciplinary fields of research, how to design educational interfaces and visualizations that support experimental studies, the advantages and disadvantages of a variety of experiments, methodological decisions in designing and conducting experiments (e.g. devising hypotheses and selecting measures), and the reporting of results. As well, a brief introduction on how contemporary advances in data science, artificial intelligence, and sensor data have impacted learning technology and CCI research is presented. The book details three important issues that a learning technology and CCI researcher needs to be aware of: the importance of the context, ethical considerations, and working with children. The motivation behind and emphasis of this book is helping prospective CCI and learning technology researchers (a) to evaluate the circumstances that favor (or do not favor) the use of experiments, (b) to make the necessary methodological decisions about the type and features of the experiment, (c) to design the necessary “artifacts” (e.g., prototype systems, interfaces, materials, and procedures), (d) to operationalize and conduct experimental procedures to minimize potential bias, and (e) to report the results of their studies for successful dissemination in top-tier venues (such as journals and conferences).This book is an open access publication.
Mobile Web and Intelligent Information Systems: 18th International Conference, MobiWIS 2022, Rome, Italy, August 22–24, 2022, Proceedings (Lecture Notes in Computer Science #13475)
by Irfan Awan Muhammad Younas Aneta Poniszewska-MarańdaThis book constitutes the refereed proceedings of the 18th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2022, held in Rome, Italy, in August 2022.The 18 full papers and 1 short paper presented in this book were carefully reviewed and selected from 51 submissions. The papers of MobiWIS 2022 deal focus on topics such as security and privacy; web and mobile applications; networking and communication; intelligent information systems; and IoT and ubiquitous computing.
Challenges and Solutions in the Digital Economy and Finance: Proceedings of the 5th International Scientific Conference on Digital Economy and Finances (DEFIN 2022), St.Petersburg 2022 (Springer Proceedings in Business and Economics)
by Anna Rumyantseva Vladimir Plotnikov Alexey Minin Hod AnyigbaThis volume presents the proceedings of the 4th International Scientific and Practical Conference on Digital Economy and Finances (DEFIN22) at the Saint-Petersburg University of Management Technologies and Economics (UMTE), which took place in March 2022. It includes the newest research on the impact of new digital technologies on the growth and capitalization of companies and the labor market. The volume discusses the problems of situational modeling of economic processes and the creation of "digital twins" of enterprises. The contributions analyse how big data and artificial intelligence technologies are shaping the financial markets.
Internet Transport Economics (Synthesis Lectures on Learning, Networks, and Algorithms)
by Richard T. MaThis book presents Internet transport economics as a new approach to understanding the packet-switching paradigm of Internet infrastructure as a global transport system for data packets. It is a prescient view of the Internet’s evolution into a content-centric service platform where the quality of services (QoS) cannot be guaranteed due to the tens of thousands of autonomous systems that enact business decisions on peering, routing, and pricing in a way that determines aspects of the Internet ecosystem like network topology, latency and throughput of traffic flows, and performance of network applications. The trafficking issues created in this environment are a critical concern and barrier for user applications that require real-time responses, such as telesurgery and teleoperation of autonomous vehicles, and the book presents the Internet transport economics model as the solution. While engineering and business are the prevailing lenses through which the Internet is viewed, the book builds its methodological framework around transport. Further delving into economics, it establishes how the Internet can be understood as providing transport services for data packets, whose demand and supply are driven by the QoS metrics of delay and loss, which can be regarded as congestion costs that result in equilibrium rates of traffic flows sent by content providers (CPs). The book goes on to present a stylized model of content provider-to-access provider (CP–AP) service as well as congestion equilibrium and rate equilibrium solution concepts under the Internet transport economics framework. These are used to analyze the problem domains of service differentiation, market structure, and data pricing. Finally, it discusses various potential future applications. This book will be of interest to graduate students and researchers in areas of computer networking and performance evaluation.
Machine Learning and Knowledge Extraction: 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23–26, 2022, Proceedings (Lecture Notes in Computer Science #13480)
by Andreas Holzinger Peter Kieseberg A Min Tjoa Edgar WeipplThis book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022.The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.
Digital Agriculture
by Daniel Marçal de Queiroz Domingos Sárvio M. Valente Francisco de Assis de Carvalho Pinto Aluízio Borém John K. SchuellerThis textbook addresses the most recent advances and main digital technologies used in farming. The reader will be able to understand the main concepts and techniques currently used to efficiently manage agricultural production systems. The book covers topics in a general and intuitive way, with examples and good illustrations.
Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach (Springer Series in Advanced Manufacturing)
by Duc Truong Pham Natalia HartonoThis book is the first work dedicated to the Bees Algorithm. Following a gentle introduction to the main ideas underpinning the algorithm, the book presents recent results and developments relating to the algorithm and its application to optimisation problems in production and manufacturing. With the advent of the Fourth Industrial Revolution, production and manufacturing processes and systems have become more complex. To obtain the best performance from them requires efficient and effective optimisation techniques that do not depend on the availability of process or system models. Such models are usually either not obtainable or mathematically intractable due to the high degrees of nonlinearities and uncertainties in the processes and systems to be represented. The Bees Algorithm is a powerful swarm-based intelligent optimisation metaheuristic inspired by the foraging behaviour of honeybees. The algorithm is conceptually elegant and extremely easy to apply. All it needs to solve an optimisation problem is a means to evaluate the quality of potential solutions. This book demonstrates the simplicity, effectiveness and versatility of the algorithm and encourages its further adoption by engineers and researchers across the world to realise smart and sustainable manufacturing and production in the age of Industry 4.0 and beyond.
Creative Provocations: Speculations on the Future of Creativity, Technology & Learning (Creativity Theory and Action in Education #7)
by Danah Henriksen Punya MishraThis book explores the complex, yet critical, relationship between technology and creativity, specifically in educational contexts. Creativity is important for success in today’s rapidly changing, radically contingent and hyperconnected world. This is even more relevant in the context of teaching and learning—where the psychological, sociological and cultural aspects of human learning confront the challenges of a rapidly changing, technologically saturated world. Written by some of the foremost thinkers and researchers in the area of creativity and/or technology, the chapters in this volume examine the impact of recent and future technologies on creativity, teaching and learning. Individually and collectively, they help us develop an understanding of this nexus of creativity and technology for education. They offer new perspectives on this rapidly evolving future—exploring issues, paradoxes, tensions, and points of interest for creativity and technology. They position these issues in ways that consider implications for thinking, learning, teaching, and education in general.
Neural Networks and Learning Algorithms in MATLAB (Synthesis Lectures on Intelligent Technologies)
by Oscar Castillo Rathinasamy Sakthivel Mohammad Hosein Sabzalian Fayez F. El-Sousy Ardahir Mohammadazadeh Saleh MobayenThis book explains the basic concepts, theory and applications of neural networks in a simple unified approach with clear examples and simulations in the MATLAB programming language. The scripts herein are coded for general purposes to be easily extended to a variety of problems in different areas of application. They are vectorized and optimized to run faster and be applicable to high-dimensional engineering problems. This book will serve as a main reference for graduate and undergraduate courses in neural networks and applications. This book will also serve as a main basis for researchers dealing with complex problems that require neural networks for finding good solutions in areas, such as time series prediction, intelligent control and identification. In addition, the problem of designing neural network by using metaheuristics, such as the genetic algorithms and particle swarm optimization, with one objective and with multiple objectives, is presented.
Blockchain in Healthcare: From Disruption to Integration (Integrated Science #10)
by Stanislaw StawickiBlockchain technology (BT) is quietly transforming the world, from financial infrastructure, to the internet-of-things, to healthcare applications. With increasing penetration of BT into various areas of our daily lives, the need arises for better awareness and greater knowledge about the capabilities, benefits, risks, and alternatives to distributed ledger applications. It is hoped that current book will be one of the pioneering collections focusing on blockchain implementations in the area of healthcare, with specific aim to present content in an easy-to-understand and readily accessible way for typical end-users of blockchain-based applications. There are important areas within the fabric of modern healthcare that stand to benefit from implementations of BT. These areas include electronic medical records, quality control, patient safety, finance, device tracking, biostamping/biocertification, redundant storage of critical data, health and liability insurance, medication utilization tracking (including opioid and antibiotic misuse), financial transactions, academics/education, asset tokenization, public health and pandemics, healthcare provider credentialing, and many other potential applications. The ultimate goal of the proposed book would be to provide an integrative, easy-to-understand, and comprehensive picture of the current state of blockchain use in healthcare while actively engaging the reader in a forward-looking, exploratory approach toward future developments in this space. To accomplish this goal, an expert panel of contributors has been assembled, featuring scholars from top global universities and think-tanks.
Normalization Techniques in Deep Learning (Synthesis Lectures on Computer Vision)
by Lei HuangThis book presents and surveys normalization techniques with a deep analysis in training deep neural networks. In addition, the author provides technical details in designing new normalization methods and network architectures tailored to specific tasks. Normalization methods can improve the training stability, optimization efficiency, and generalization ability of deep neural networks (DNNs) and have become basic components in most state-of-the-art DNN architectures. The author provides guidelines for elaborating, understanding, and applying normalization methods. This book is ideal for readers working on the development of novel deep learning algorithms and/or their applications to solve practical problems in computer vision and machine learning tasks. The book also serves as a resource researchers, engineers, and students who are new to the field and need to understand and train DNNs.
Cloud Computing, Big Data & Emerging Topics: 10th Conference, JCC-BD&ET 2022, La Plata, Argentina, June 28–30, 2022, Proceedings (Communications in Computer and Information Science #1634)
by Enzo Rucci Marcelo Naiouf Franco Chichizola Laura De Giusti Armando De GiustiThis book constitutes the revised selected papers of the 10th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2022, held in La Plata, Argentina*, in June-July 2022.The 9 full papers were carefully reviewed and selected from a total of 23 submissions. The papers are organized in topical sections on: Parallel and Distributed Computing; Machine and Deep Learning; Cloud and High-Performance Computing, Machine and Deep Learning, and Virtual Reality.
Knowledge Discovery, Knowledge Engineering and Knowledge Management: 12th International Joint Conference, IC3K 2020, Virtual Event, November 2-4, 2020, Revised Selected Papers (Communications in Computer and Information Science #1608)
by Ana Fred David Aveiro Jan Dietz Ana Salgado Jorge Bernardino Joaquim FilipeThis book constitutes the refereed proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2020, Virtual Event, November 2-4, 2020. The conference was held virtually due to the COVID-19 crisis.The 8 full papers included in this book were carefully reviewed and selected from 133 submissions.
Artificial Intelligence and Economics: the Key to the Future (Lecture Notes in Networks and Systems #523)
by Domenico Marino Melchiorre MonacaThis book aims to deal with the main advances in the study of artificial intelligence, the digital and circular economy and innovation from a multidisciplinary perspective. Whoever governs the artificial intelligence will hold the keys to the world and the future. This consideration explains the growing role of artificial intelligence in our lives and the need to understand its mechanisms.This book presents original research articles addressing various aspects of artificial intelligence applied to economics, law, management, and optimization. The topics discussed include, economics, territorial policies, law, resource allocation strategies, information technology, and learning for inclusion.Combining the input of contributing professors and researchers from Italian and other foreign universities, the book is of interest to students, researchers, and practitioners, as well as members of the public in general, interested in the world of the artificial intelligence and economics.
Advances in Intelligent Networking and Collaborative Systems: The 14th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2022) (Lecture Notes in Networks and Systems #527)
by Leonard Barolli Hiroyoshi MiwaWith the fast development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very center of networks and exploits the value of people's connections, relations, and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities, and organizations strongly leverage intelligent networking and collaborative systems by a great variety of formal and informal electronic relations, such as business-to-business, peer-to-peer, and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and in an autonomous way. In addition, latest and powerful technologies based on grid and wireless infrastructure as well as cloud computing are currently enhancing collaborative and networking applications a great deal but also facing new issues and challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, at longer-term, the development of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning. The aim of the book “Advances on Intelligent Networking and Collaborative Systems” is to provide latest research findings, innovative research results, methods, and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, and so on as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligent collaborative systems.
Data Analysis with Machine Learning for Psychologists: Crash Course to Learn Python 3 and Machine Learning in 10 hours
by Chandril GhoshThe power of data drives the digital economy of the 21st century. It has been argued that data is as vital a resource as oil was during the industrial revolution. An upward trend in the number of research publications using machine learning in some of the top journals in combination with an increasing number of academic recruiters within psychology asking for Python knowledge from applicants indicates a growing demand for these skills in the market. While there are plenty of books covering data science, rarely, if ever, books in the market address the need of social science students with no computer science background. They are typically written by engineers or computer scientists for people of their discipline. As a result, often such books are filled with technical jargon and examples irrelevant to psychological studies or projects. In contrast, this book was written by a psychologist in a simple, easy-to-understand way that is brief and accessible. The aim for this book was to make the learning experience on this topic as smooth as possible for psychology students/researchers with no background in programming or data science. Completing this book will also open up an enormous amount of possibilities for quantitative researchers in psychological science, as it will enable them to explore newer types of research questions.
Towards Responsible Machine Translation: Ethical and Legal Considerations in Machine Translation (Machine Translation: Technologies and Applications #4)
by Helena Moniz Carla Parra EscartínThis book is a contribution to the research community towards thinking and reflecting on what Responsible Machine Translation really means. It was conceived as an open dialogue across disciplines, from philosophy to law, with the ultimate goal of providing a wide spectrum of topics to reflect on. It covers aspects related to the development of Machine translation systems, as well as its use in different scenarios, and the societal impact that it may have. This text appeals to students and researchers in linguistics, translation, natural language processing, philosophy, and law as well as professionals working in these fields.
Fully Integrated Switched-Capacitor PMU for IoT Nodes: Analysis and Design (Synthesis Lectures on Engineering, Science, and Technology)
by Ricardo Madeira João Pedro Oliveira Nuno PaulinoThis book provides a step-by-step methodology and system design that can be used to design a fully integrated PMU using SC DC-DC converters, for any CMOS technology. The authors discuss trade-offs between power density and efficiency of the methodology for the 130 nm CMOS technology, and how to implement it on other CMOS technologies. The book describes the state-of-the-art of fully or near-fully integrated SC DC-DC converters with multiple conversion ratios and the techniques used to enhance the overall performance of these converters. Coverage includes the trade-off between the number of conversion ratios and overall extracted efficiency from a supercapacitor, as well as the sizing of the converter cells according to the desired output power and maximum clock frequency. The authors also describe in detail the design of the fundamental blocks for the converter operation, which includes a secondary control loop using capacitance modulation by sensing the clock frequency.
Parallel Problem Solving from Nature – PPSN XVII: 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022, Proceedings, Part I (Lecture Notes in Computer Science #13398)
by Günter Rudolph Anna V. Kononova Hernán Aguirre Pascal Kerschke Gabriela Ochoa Tea TušarThis two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022.The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.
Parallel Problem Solving from Nature – PPSN XVII: 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022, Proceedings, Part II (Lecture Notes in Computer Science #13399)
by Günter Rudolph Anna V. Kononova Hernán Aguirre Pascal Kerschke Gabriela Ochoa Tea TušarThis two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022.The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.
Recent Innovations in Artificial Intelligence and Smart Applications (Studies in Computational Intelligence #1061)
by Mostafa Al-Emran Khaled ShaalanThis book tackles the recent research trends on the role of AI in advancing automotive manufacturing, augmented reality, sustainable development in smart cities, telemedicine, and robotics. It sheds light on the recent AI innovations in classical machine learning, deep learning, Internet of Things (IoT), Blockchain, knowledge representation, knowledge management, big data, and natural language processing (NLP). The edited book covers empirical and reviews studies that primarily concentrate on the aforementioned issues, which would assist scholars in pursuing future research in the domain and identifying the possible future developments of AI applications.