Bücher veröffentlicht von Springer

This book highlights recent research advances in various domains related to software ecosystems such as library reuse, collaborative development, cloud computing, open science, sentiment analysis and machine learning. A key aspect of software ecosystems is that software products belong to ever more interdependent networks of co-evolving software components. The ever-increasing importance of social coding platforms has made software ecosystems indispensable to software practitioners, in commercial as well as open-source settings.The book starts with an introductory chapter that provides a historical account of the origins of software ecosystems. It provides the necessary context about the domain of software ecosystems by highlighting its different perspectives, definitions, and representations. It also exemplifies the variety of software ecosystems that have emerged during the previous decades. The remaining book is composed of five parts: Part I contains two chapters on software ecosystem representations, Part II two chapters that focus on complementary ways and techniques of analyzing software ecosystems. Next, Part III includes two chapters that focus on aspects related to the evolution within software ecosystems, while Part IV looks at workflow automation and infrastructure-as-code ecosystems. Finally, Part V focuses on ecosystems for software modeling and for data-intensive software.This book is intended for researchers and practitioners interested in data mining, tooling, and empirical analysis of software ecosystems. The reader will appreciate chapters that cover a wide spectrum of social and technical aspects of software ecosystems, each including an overview of the state of the art.Chapter 2 The Software Heritage Open Science Ecosystem is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today's conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.

The book gives all interested in computer science, a deep review of relevant aspects of logic. In its scope are classical and non-classical logics. The content will be valid as well for those interested in linguistic, philosophy and many other areas of research both in humane and technical branches of science as logic permeates all genuine realms of science. The book contains a substantial part of classical results in logic like those by Gödel, Tarski, Church and Rosser as well as later developments like many-valued logics, logics for knowledge engineering, first-order logics plus inductive definitions. The exposition is rigorous yet without unnecessary abstractionism, so it should be accessible to readers from many disciplines of science. Each chapter contains a problem section, and problems are borrowed from research publications which allows for passing additional information, and it allows readers to test their skills. Extensive bibliography of 270 positions directs readers to research works of importance.

The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education.The book comprises selected and peer-reviewed papers presented at the 17th Conference of the International Federation of Classification Societies (IFCS 2022), held in Porto, Portugal, July 19-23, 2022. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification.

This textbook on the applied aspects of soil physics covers introduction to soil physical properties and processes, and their evaluation and management in relation to plant growth. It distinguishes physical properties that directly influence plant growth from those that indirectly affect agricultural productivity. Chapters are also devoted to the concept of soil health and the role of soil physics on preservation of soil health and environmental quality. As such, this book fills a unique knowledge gap for agriculture and agronomy students, course directors as well as field professionals.

This book gathers the peer-reviewed proceedings of the 14th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM'19, held in Sofia, Bulgaria. The general theme of BGSIAM'19 was industrial and applied mathematics with particular focus on mathematical physics, numerical analysis, high-performance computing, optimization and control, mathematical biology, stochastic modeling, machine learning, digitization and imaging, and advanced computing in environmental, biomedical, and engineering applications.

This updated edition adds new material on the acoustics of mufflers and ducts, including a new analysis on sound propagation in a duct having a cross sectional area that varies in the direction of the duct length. The textbook retains its class-tested fundamentals of engineering acoustics and examination of in-depth concepts within the domains that apply to reducing noise, measuring noise, and designing microphones and loudspeakers. The book particularly emphasizes the physical principles used in designing miniature microphones. These devices are used in billions of electronic products, most visibly, cell phones and hearing aids, and enable countless other applications. Distinct from earlier books on this topic that take the view of the electrical engineer analyzing mechanical systems using electric circuit analogies. This text uses Newtonian mechanics as a more appropriate paradigm for analyzing these mechanical systems and in so doing provides a more direct method of modeling. Written at a level appropriate for upper-division undergraduate and graduate courses, and enhanced with end-of-chapter problems and MatLab routines, the book is ideal as a core text for students interested in engineering acoustics in ME, EE, and physics programs, as well as a reference for engineers and technicians working in the huge global industry of miniature microphone design.

This book presents the proceedings of the 7th International Conference on Innovative Technologies in Intelligent Systems & Industrial Application (CITISIA), held in virtual mode in Kuala Lumpur, Malaysia, and Sydney, Australia on November 16-18, 2022. It showcases advances and innovations in Industry 4.0, smart society 5.0, mobile technologies, smart manufacturing, smart data fusion, hybrid intelligence, cloud computing, and digital society.

According to the global hunger index, South Asia has worldwide highest rate of undernourished people. Such a burden of food insecurity and various forms of malnutrition are directly associated with the existing food production system that ignores biodiversity, food affordability, and sustainability. During the last five decades, food production system has witnessed a global shift from ethnic to mainstream staple cereals production and promotion. Such an approach has badly affected the regional genetic pool of a diverse range of nourishing, economical, and sustainable edible plant species which are now referred to as neglected or underutilized food crops. Neglected Plant Foods of South Asia collects and preserves existing knowledge of underutilized, minor, wild, neglected and traditional food plants of South Asia, and their utilization for the production of value-added food products. Aiming at introducing plant - based food solutions to address the increasing burden of food insecurity among marginalized communities of South Asia, this manuscript covers a plethora of nutrient-dense plant species including fruits, vegetables, roots, tubers, cereals, pseudo-cereals, and pulses. In addition to having an overview of each plant's origin, cultivation practices and production statistics, researchers will find comprehensive information on nutritional composition, food manufacturing properties, value-addition and traditional uses of neglected plant foods. Recent updates on strategies to combat toxicological risks associated with the consumption of neglected food plants have also been included. With this volume, researchers will have complete information on neglected, underutilized traditional edible plants of South Asia, and their potential to increase food security under the emerging challenges of climate change.

Special Topics in Structural Dynamics & Experimental Techniques, Volume 5: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the fifth volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: Active ControlAdditive ManufacturingExperimental TechniquesFinite Element TechniquesMultifunction StructuresRotating MachinerySystem Identification

Dieses Buch ist für Anfängerkurse bestimmt und soll helfen, Probleme mitHilfe des Rechners zu lösen. Es ist für Schüler der oberen Klassen und Studenten wie auch zum Selbststudium geeignet. Eine frühere Version dieses Buches wurde bereits sie- benmal in Einführungsklassen an der University of California San Diego (UCSD) als Unterrichtsmaterial verwendet. Mit diesem Vorwort wenden wir uns an Lehrer und Dozenten und an alle jene, die über- ausreichende Kenntnisse in der heutigen Datenverarbei- tung verfügen, um angehende Studenten beratend unterstützen zu können. Das vorliegende Material wurde von ca. 55% aller Studenten, die an der UCSD einen Kurs mit 10 Wochenstunden pro Quartal belegt hatten, erfolgreich durchgearbeitet. Alle Kursteilnehmer wurden in "Keller' s Personalized System of Instruction" (PSI) unter- wiesen, obgleich der Aufbau dieses Buches die Anwendung dieser Methode eigentlich nicht erforderlich macht. Mit Hilfe der PSI- Methode können die Studenten etwas mehr Material verarbeiten als mit der herkömmlichen Unterrichtsmethode, die aus Vortrag und anschließender Abfragung besteht. PSI erlaubt eine Leistungs- einstufung entsprechend der erfolgreich abgeschlossenen Kapitel- anzahl. Man kann in etwa davon ausgehen, daß so gut wie alle Studenten eines UCSD Kurses die ersten zehn wichtigen Kapitel mi t den zugehörigen Übungen erfolgreich abschließen. Nach der konventionellen Lehrmethode sollten im Semestersystem etwa 15 Kapi tel zu schaffen sein; im Quartaisystem dagegen darf man ohne besondere Voraussetzung nicht mehr als 12 Kapitel erwarten. Die meisten Lehrbücher für Anfänger wenden sich an Schüler und Studenten, die ihre Programmtests auf den unterschiedlichsten Wirtsrechnern und Betriebssystemen durchführen.

Based on the overall digitalization in all spheres of our lives, Data Science and Artificial Intelligence (AI) are nowadays cornerstones for innovation, problem solutions, and business transformation. Data, whether structured or unstructured, numerical, textual, or audiovisual, put in context with other data or analyzed and processed by smart algorithms, are the basis for intelligent concepts and practical solutions. These solutions address many application areas such as Industry 4.0, the Internet of Things (IoT), smart cities, smart energy generation, and distribution, and environmental management. Innovation dynamics and business opportunities for effective solutions for the essential societal, environmental, or health challenges, are enabled and driven by modern data science approaches.However, Data Science and Artificial Intelligence are forming a new field that needs attention and focused research. Effective data science is only achieved in a broad and diverse discourse- when data science experts cooperate tightly with application domain experts and scientists exchange views and methods with engineers and business experts. Thus, the 5th International Data Science Conference (iDSC 2023) brings together researchers, scientists, business experts, and practitioners to discuss new approaches, methods, and tools made possible by data science.

This book examines the historical linguistic panorama of Western South America, focusing on the minor languages that were partially or fully replaced by the expansion of the Quechuan family through the region.The author presents a coherent and generally applicable framework for studying prehistoric language shift processes and reconstructing earlier linguistic landscapes before significant language spreads ousted former patterns of linguistic diversity. This framework combines toponymic evidence with the analysis of substrate contact effects, and, in some cases, extralinguistic evidence, to create an integrated if incomplete of extinct and undocumented languages. In an authoritative exploration of case studies, concerning Aymara in parts of Southern Peru, Cañar in Ecuador, and Chacha in Northern Peru, the book shows how the identities of lost languages and earlier linguistic panoramas can be reconstructed.

This textbook is a complete, self-sufficient, self-study/tutorial-type source of mathematical problems. It serves as a primary source for practicing and developing mathematical skills and techniques that will be essential in future studies and engineering practice. Rigor and mathematical formalism is drastically reduced, while the main focus is on developing practical skills and techniques for solving mathematical problems, given in forms typically found in engineering and science. These practical techniques are split into three separate books: the topics of algebra, complex algebra, and linear algebra (Vol. I), calculus of single and multiple argument functions (Vol. II), and continues and discrete Convolution and Fourier integrals/sums of typical functions used in signal processing, in addition to Laplace transform examples (Vol. III).

This book of Springer Nature is another proof of Springer's outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27-28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate "Research Novelty with Compassion and Wisdom" with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation--a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO'2023 is published by Springer Nature--Quality Label of Enlightenment.

The AI enabled enterprise uses technology to continuously learn by monitoring its behavior and the environment as well as external knowledge sources in order to automate the decision-making and decision-implementation processes leading to continuous improvement over time. This book discusses the key challenges that organizations need to overcome in achieving an AI enabled enterprise: the role of digital twins in evidence-backed design, enterprise cartography that goes far beyond process mining, decision-making in the face of uncertainty, software architecture for continuous adaptation, democratized knowledge-guided software development enabling coordinated design, low code versus no code, and coherent design. For each challenge, the book proposes a line of attack along with the associated enabling technology and illustrates the same through a near real world use case.

Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in computing hardware, algorithms, and data accumulation. This book presents recent machine learning applications in the broad research field of molecular sciences. Written by an international group of renowned experts, this edited volume covers both the machine learning methodologies and state-of-the-art machine learning applications in a wide range of topics in molecular sciences, from electronic structure theory to nuclear dynamics of small molecules, to the design and synthesis of large organic and biological molecules. This book is a valuable resource for researchers and students interested in applying machine learning in the research of molecular sciences.

This book introduces the fundamentals of physical layer security (PLS) and demonstrates how a variety of PLS techniques can be applied to improve the security of wireless communication systems. In particular, this book covers three security aspects of wireless communications. It includes secrecy, i.e., preventing eavesdroppers from intercepting information from transmitted wireless signals, covertness, i.e., hiding the transmitted signals themselves from malicious wardens and authentication, i.e., authenticating the identities of communicating entities. When discussing the secrecy of wireless communication systems, this book covers physical layer secure communication in multiple-input multiple-out (MIMO) systems based on beamforming and precoding techniques, in relay systems based on link/relay selection and in large-scale random networks based on cooperative jamming.  Regarding the covertness of wireless communication systems, this book introduces physical layer covert communication in relaying systems and MIMO systems. Also, when discussing authentication in wireless communication systems, this book introduces the implementation of physical layer authentication in MIMO systems based on channel features and/or radiometric features of transceivers. In addition, this book  presents security-aware routing in wireless networks based on physical layer secure communication techniques.This book targets researchers in the fields of physical layer security and wireless communications security. Advanced-level students in electronic engineering or computer science studying these security topics will also want to purchase this book as a secondary textbook.

This book constitutes refereed articles which present research work on new and emerging topics such as distributed ledger technology, blockchains and architectures, smart cities, machine learning and deep learning techniques and application areas such as flight pricing, energy demand and healthcare.The intended readership of the book include researchers, developers and practitioners in the areas of deep learning, big data and blockchains technologies and their applications.

Over the past few years, the demand for data traffic has experienced explosive growth thanks to the increasing need to stay online. New applications of communications, such as wearable devices, autonomous systems, drones, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different performance requirements. With the COVID-19 pandemic, the need to stay online has become even more crucial, as most of the fields, would they be industrial, educational, economic, or service-oriented, had to go online as best as they can. As the data traffic is expected to continuously strain the capacity of future communication networks, these networks need to evolve consistently in order to keep up with the growth of data traffic. Thus, more intelligent processing, operation, and optimization will be needed for tomorrow's communication networks. The Sixth Generation (6G) technology is latest approach for mobile systems or edge devices in terms of reduce traffic congestions, energy consumption blending with IoT devices applications. The 6G network works beyond the 5G (B5G), where we can use various platforms as an application e.g. fog computing enabled IoT networks, Intelligent techniques for SDN network, 6G enabled healthcare industry, energy aware location management. Still this technology must resolve few challenges like security, IoT enabled trust network.This book will focus on the use of AI/ML-based techniques to solve issues related to 6G enabled networks, their layers, as well as their applications. It will be a collection of original contributions regarding state-of-the-art AI/ML-based solutions for signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction 6G enabled software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The proposed edited book emphasis on the 6G network blended with Fog-IoT networks to introduce its applications and future perspectives that helps the researcher to apply this technique in their domain and it may also helpful to resolve the challenges and future opportunities with 6G networks.

This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Fundamentals of Software Engineering, FSEN 2023, held Tehran, Iran in May 4-5, 2023.The 9 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 19 submissions. The topics of interest in FSEN span over all aspects of formal methods, especially those related to advancing the application of formal methods in the software industry and promoting their integration with practical engineering techniques. The papers are organized in topical sections on coordination, logic, networks, parallel computation, and testing.

This book focuses on both theoretical and practical aspects of the "Device-Edge-Cloud continuum", a development approach aimed at the seamless provision of next-generation cyber-physical services through the dynamic orchestration of heterogeneous computing resources, located at different distances to the user and featured by different peculiarities (high responsiveness, high computing power, etc.). The book specifically explores recent advances in paradigms, architectures, models, and applications for the "Device-Edge-Cloud continuum", which raises many 'in-the-small' and 'in-the-large' issues involving device programming, system architectures and methods for the development of IoT ecosystem. In this direction, the contributions presented in the book propose original solutions and aim at relevant domains spanning from healthcare to industry, agriculture and transportation.

This book provides a deep understanding of the relationship between machine learning and causal inference. It covers a broad range of topics, starting with the preliminary foundations of causal inference, which include basic definitions, illustrative examples, and assumptions. It then delves into the different types of classical causal inference methods, such as matching, weighting, tree-based models, and more. Additionally, the book explores how machine learning can be used for causal effect estimation based on representation learning and graph learning. The contribution of causal inference in creating trustworthy machine learning systems to accomplish diversity, non-discrimination and fairness, transparency and explainability, generalization and robustness, and more is also discussed. The book also provides practical applications of causal inference in various domains such as natural language processing, recommender systems, computer vision, time series forecasting, and continual learning. Each chapter of the book is written by leading researchers in their respective fields. Machine Learning for Causal Inference explores the challenges associated with the relationship between machine learning and causal inference, such as biased estimates of causal effects, untrustworthy models, and complicated applications in other artificial intelligence domains. However, it also presents potential solutions to these issues. The book is a valuable resource for researchers, teachers, practitioners, and students interested in these fields. It provides insights into how combining machine learning and causal inference can improve the system's capability to accomplish causal artificial intelligence based on data. The book showcases promising research directions and emphasizes the importance of understanding the causal relationship to construct different machine-learning models from data.

Recent Advancements of Computational Finance and Business Analytics provide a comprehensive overview of the cutting-edge advancements in this dynamic field. By embracing computational finance and business analytics, organizations can gain a competitive edge in an increasingly data-driven and complex business environment.This book has explored the latest developments and breakthroughs in this rapidly evolving domain, providing a comprehensive overview of the current state of computational finance and business analytics. It covers the following dimensions of this domains:Business AnalyticsFinancial AnalyticsHuman Resource AnalyticsMarketing Analytics

This open access book applies a social ecological systems (SES) lens to conservation-based development in Patagonia, bringing together authors with historical, contemporary, and future-oriented perspectives in order to increase understanding of the social and environmental implications of nature-based tourism and other forms of conservation-based territorial development. By focusing on Patagonia (as a region) and its various forms of conservation-based development, this book contributes one of the first collections of South American based lessons and will be valuable to researchers and practitioners, both locally and around the world, seeking to better understand complex interconnections between social and ecological environments, and pursue a similar path to resilience and sustainability.

This book is the first complete biography of George Minchin Minchin (1845-1914), professor of applied mathematics at the Royal Indian Engineering College. Minchin's extraordinary range of accomplishments offers a unique inside view of the major technological and educational developments of late nineteenth century Britain. The scientific community's excitement during the early days of electromagnetic theory, wireless telegraphy, and x-rays are revealed by Minchin's letters to eminent friends (notably the Maxwellians, Oliver Lodge and George Francis Fitzgerald). This book also traces Minchin's little-known pioneering work on photoelectricity, which led to the first electrical measurements of starlight and laid the foundations for solar cells and television. Minchin's mathematical textbooks were praised for their lucidity, and his advanced pedagogical thinking underpinned his lifelong work on reforming science education. He explained scientific concepts for a general audience using science fiction poetry and critiqued contemporary society in sharp and humorous satires. These works provide fresh perspectives on the place of science in Victorian society. This book is for anyone fascinated by the late nineteenth century revolution in electrical technologies.This is also a valuable read for historians of science, and for those interested in technical education, and science and society in Victorian Britain.

This volume constitutes the papers of several workshops which were held in conjunction with the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in Tanjin, China, in April 2023. The 23 revised full papers presented in this book were carefully reviewed and selected from 40 submissions. DASFAA 2023 presents the following four workshops: 9th International Workshop on Big Data Management and Service (BDMS 2023), 8th International Workshop on Big Data Quality Management (BDQM 2023); 7th International Workshop on Graph Data Management and Analysis (GDMA 2023); 1st International Workshop on Bundle-based Recommendation Systems (BundleRS 2023).

This book provides an introduction to the basic ideas involved in cybersecurity, whose principal aim is protection of IT systems against unwanted behaviour mediated by the networks which connect them. Due to the widespread use of the Internet in modern society for activities ranging from social networking and entertainment to distribution of utilities and public administration, failures of cybersecurity can threaten almost all aspects of life today.Cybersecurity is a necessity in the modern world, where computers and other electronic devices communicate via networks, and breakdowns in cybersecurity cost society many resources.The aims of cybersecurity are quite simple: data must not be read, modified, deleted or made unavailable by persons who are not allowed to. To meet this major challenge successfully in the digitally interconnected world, one needs to master numerous disciplines because modern IT systems contain software, cryptographic modules, computing units, networks, and human users--all of which can influence the success or failure in the effort.Topics and features: Introduces readers to the main components of a modern IT system: basic hardware, networks, operating system, and network-based applicationsContains numerous theoretical and practical exercises to illustrate important topicsDiscusses protective mechanisms commonly used to ensure cybersecurity and how effective they areDiscusses the use of cryptography for achieving security in IT systemsExplains how to plan for protecting IT systems based on analysing the risk of various forms of failureIllustrates how human users may affect system security and ways of improving their behaviourDiscusses what to do if a security failure takes placePresents important legal concepts relevant for cybersecurity, including the concept of cybercrimeThis accessible, clear textbook is intended especially for students starting a relevant course in computer science or engineering, as well as for professionals looking for a general introduction to the topic.Dr. Robin Sharp is an emeritus professor in the Cybersecurity Section at DTU Compute, the Dept. of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU).