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Cloud Computing and Services Science: 10th International Conference, CLOSER 2020, Prague, Czech Republic, May 7–9, 2020, Revised Selected Papers (Communications in Computer and Information Science #1399)
By Markus Helfert, Donald Ferguson, Claus Pahl. 2021
This book constitutes extended, revised and selected papers from the 10th International Conference on Cloud Computing and Services Science, CLOSER 2020,…
held in Prague, Czech Republic, in May 2020. Due to the COVID-19 pandemic the conference was held in a virtual format.The 14 papers presented in this volume were carefully reviewed and selected from a total of 69 submissions. CLOSER 2020 focuses on the emerging area of cloud computing, inspired by some latest advances that concern the infrastructure, operations, and available servicesthrough the global network.Computer Vision and Image Processing: 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part II (Communications in Computer and Information Science #1377)
By Balasubramanian Raman, P. Nagabhushan, Satish Kumar Singh, Partha Roy. 2021
This three-volume set (CCIS 1367-1368) constitutes the refereed proceedings of the 5th International Conference on Computer Vision and Image Processing, CVIP 2020, held…
in Prayagraj, India, in December 2020. Due to the COVID-19 pandemic the conference was partially held online. The 134 papers papers were carefully reviewed and selected from 352 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.Proceedings of International Conference on Big Data, Machine Learning and Applications: BigDML 2019 (Lecture Notes in Networks and Systems #180)
By Valentina Emilia Balas, Sivaji Bandyopadhyay, Ripon Patgiri. 2021
This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and Applications (BigDML…
2019). It focuses on both theory and applications in the broad areas of big data and machine learning. It brings together the academia, researchers, developers and practitioners from scientific organizations and industry to share and disseminate recent research findings.Bioinformatik: Ein einführendes Lehrbuch
By Thomas Dandekar, Meik Kunz. 2021
Dieses Buch bietet eine packende Einführung in das am schnellsten wachsende Gebiet der Biologie mit leicht nachvollziehbaren Beispielen und einem…
gut aufbereiteten Anhang für die Leserschaft, um so gleich alles direkt nachkochen und miterleben zu können.Das Buch holt den Leser und die Leserin bei den Grundlagen ab, wie man zum Beispiel Sequenzinformationen einfach findet und dann analysiert. In weiteren Kapiteln gehen die Autoren auf die verschiedenen Analysemöglichkeiten von RNA, DNA und Proteinen bis hin zu ganzen Stoffwechselwegen ein. Dabei werden in jedem Kapitel spannende Beispiele aus der Biologie gewählt, die zur Veranschaulichung der Analyse dienen. Jedes Kapitel wird mit einem Übungsteil abgeschlossen, welches das Gelernte sogleich zur Anwendung bringt.Das Thema dieses Buches ist ein Muss für jeden Biologiestudierenden, ob Bachelor- oder Masterstudium, da die Bioinformatik mittlerweile erstaunliche Einsichten in die molekularen Grundlagen aller Lebewesen zutage fördert. Informatikstudierende und andere Studierende aus angrenzenden Naturwissenschaften bekommen einen guten Einstieg in die Bioinformatik, denn neben der Software werden systematisch die Biologie und aktuelle Themen (z.B. KI) Schritt für Schritt eingeführt.Entdecken Sie gemeinsam mit den Autoren den Schlüssel zum Leben und lernen Sie die Sprache des Lebens verstehen.Trends in Wireless Communication and Information Security: Proceedings of EWCIS 2020 (Lecture Notes in Electrical Engineering #740)
By Valentina Emilia Balas, Debdatta Kandar, Samarendra Nath Sur, Mithun Chakraborty, Raman Kr. Jha. 2021
This book presents best selected papers presented at the International Conference on Emerging Wireless Communication Technologies and Information Security (EWCIS…
2020), held from 8th & 9th October 2020 at Amity University Jharkhand, Ranchi, India. The book includes papers in the research area of wireless communications and intelligent systems, signal and image processing in engineering applications, data communication and information security, IoT and cloud computing. The contribution ranges from scientists, engineers and technologists from academia as well as from industry.Biomedical Engineering Systems and Technologies: 13th International Joint Conference, BIOSTEC 2020, Valletta, Malta, February 24–26, 2020, Revised Selected Papers (Communications in Computer and Information Science #1400)
By Ana Fred, Hugo Gamboa, Federico Cabitza, Elisabetta De Maria, Xuesong Ye, Filipe Soares, Pedro Gómez Vilda. 2021
This book constitutes extended and revised versions of the selected papers from the 13th International Joint Conference on Biomedical Engineering…
Systems and Technologies, BIOSTEC 2020, held in Valletta, Malta, in February 2020.The 29 revised and extended full papers presented were carefully reviewed and selected from a total of 363 submissions. The papers are organized in topical sections on biomedical electronics and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informaticArtificial Intelligence for Materials Science (Springer Series in Materials Science #312)
By Yuan Cheng, Gang Zhang, Tian Wang. 2021
Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict…
reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field.Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years. This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers.This book constitutes the refereed proceedings of the 21st European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2021, held…
as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events: EvoMUSART, EvoApplications, and EuroGP. The 14 revised full papers presented in this book were carefully reviewed and selected from 42 submissions. They cover a wide spectrum of topics, ranging from the foundations of evolutionary algorithms and other search heuristics to their accurate design and application to combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of core components of metaheuristics, the clever design of their search principles, and their careful selection and configuration. Applications cover problem domains such as scheduling, routing, search-based software engineering and general graph problems. The range of topics covered in this volume reflects the current state of research in the fields of evolutionary computation and combinatorial optimization.This book describes how companies can easily and pragmatically set up and realize the path to a data-driven enterprise, especially…
in the marketing practice, without external support and additional investments. Using a predictive intelligence (PI) ecosystem, the book first introduces and explains the most important concepts and terminology. The PI maturity model then describes the phases in which you can build a PI ecosystem in your company. The book also demonstrates a PI self-test which helps managers identify the initial steps. In addition, a blueprint for a PI tech stack is defined for the first time, showing how IT can best support the topic. Finally, the PI competency model summarizes all elements into an action model for the company. The entire book is underpinned with practical examples, and case studies show how predictive intelligence, in the spirit of data-driven management, can be used profitably in the short, medium, and long terms.This two-volume set LNCS 12658 and 12659 constitutes the thoroughly refereed proceedings of the 6th International MICCAI Brainlesion Workshop, BrainLes…
2020, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, and the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge. These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in Lima, Peru, in October 2020.* The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (16 selected papers from 21 submissions); brain tumor image segmentation (69 selected papers from 75 submissions); and computational precision medicine: radiology-pathology challenge on brain tumor classification (6 selected papers from 6 submissions). *The workshop and challenges were held virtually.Interpretable Artificial Intelligence: A Perspective of Granular Computing (Studies in Computational Intelligence #937)
By Witold Pedrycz, Shyi-Ming Chen. 2021
This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) – Explainable Artificial Intelligence (XAI) by…
casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.Simulation Gaming Through Times and Disciplines: 50th International Simulation and Gaming Association Conference, ISAGA 2019, Warsaw, Poland, August 26–30, 2019, Revised Selected Papers (Lecture Notes in Computer Science #11988)
By Hidehiko Kanegae, Marcin Wardaszko, Sebastiaan Meijer, Heide Lukosch, Willy Christian Kriz, Mariola Grzybowska-Brzezińska. 2021
This book constitutes revised selected papers from the 50th International Simulation and Gaming Association Conference, ISAGA 2019, which took place in…
Warsaw, Poland, during August 26–30, 2019.The 38 papers presented in this volume were carefully reviewed and selected from 72 submissions. They were organized in topical sections named: simulation gaming in the science space; simulation gaming design and implementation; simulation games for current challenges; simulation games and gamification; and board perspective on simulation gaming.Information Technologies and Mathematical Modelling. Queueing Theory and Applications: 19th International Conference, ITMM 2020, Named after A.F. Terpugov, Tomsk, Russia, December 2-5, 2020, Revised Selected Papers (Communications in Computer and Informat
By Alexander Dudin, Anatoly Nazarov, Alexander Moiseev. 2021
This book constitutes revised selected papers of the 19th International Conference on Information Technologies and Mathematical Modelling, ITMM 2020, named after…
A.F. Terpugov, held in Tomsk, Russia, in December 2020. The 31 full papers presented in this volume were carefully reviewed and selected from 82 submissions. The conference covers various aspects of information technologies, focusing on queueing theory, stochastic processes, Markov processes, renewal theory, network performance equation and network protocols.Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (Lecture Notes in Mechanical Engineering)
By Ivan A. Parinov, Ngoc Pi Vu, Yun-Hae Kim, Banh Tien Long, Kozo Ishizaki, Nguyen Duc Toan. 2021
This book presents selected, peer-reviewed proceedings of the 2nd International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020),…
held in the city of Nha Trang, Vietnam, from 12 to 15 November, 2020. The purpose of the conference is to explore and ensure an understanding of the critical aspects contributing to sustainable development, especially materials, machines and methods. The contributions published in this book come from authors representing universities, research institutes and industrial companies, and reflect the results of a very broad spectrum of research, from micro- and nanoscale materials design and processing, to mechanical engineering technology in industry. Many of the contributions selected for these proceedings focus on materials modeling, eco-material processes and mechanical manufacturing.Responsible Data Science
By Peter C. Bruce, Grant Fleming. 2021
Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data…
science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of “Black box” algorithms that are difficult or impossible to understand and explain, even for their developers, is a primary source of these unanticipated harms, making modern techniques and methods for manipulating large data sets seem sinister, even dangerous. When put in the hands of authoritarian governments, these algorithms have enabled suppression of political dissent and persecution of minorities. To prevent these harms, data scientists everywhere must come to understand how the algorithms that they build and deploy may harm certain groups or be unfair. Responsible Data Science delivers a comprehensive, practical treatment of how to implement data science solutions in an even-handed and ethical manner that minimizes the risk of undue harm to vulnerable members of society. Both data science practitioners and managers of analytics teams will learn how to: Improve model transparency, even for black box models Diagnose bias and unfairness within models using multiple metrics Audit projects to ensure fairness and minimize the possibility of unintended harm Perfect for data science practitioners, Responsible Data Science will also earn a spot on the bookshelves of technically inclined managers, software developers, and statisticians.Reliability Assessment of Safety and Production Systems: Analysis, Modelling, Calculations and Case Studies (Springer Series in Reliability Engineering)
By Alain Leroy, Jean-Pierre Signoret. 2021
This book provides, as simply as possible, sound foundations for an in-depth understanding of reliability engineering with regard to qualitative…
analysis, modelling, and probabilistic calculations of safety and production systems. Drawing on the authors’ extensive experience within the field of reliability engineering, it addresses and discusses a variety of topics, including: • Background and overview of safety and dependability studies; • Explanation and critical analysis of definitions related to core concepts; • Risk identification through qualitative approaches (preliminary hazard analysis, HAZOP, FMECA, etc.); • Modelling of industrial systems through static (fault tree, reliability block diagram), sequential (cause-consequence diagrams, event trees, LOPA, bowtie), and dynamic (Markov graphs, Petri nets) approaches; • Probabilistic calculations through state-of-the-art analytical or Monte Carlo simulation techniques; • Analysis, modelling, and calculations of common cause failure and uncertainties; • Linkages and combinations between the various modelling and calculation approaches; • Reliability data collection and standardization. The book features illustrations, explanations, examples, and exercises to help readers gain a detailed understanding of the topic and implement it into their own work. Further, it analyses the production availability of production systems and the functional safety of safety systems (SIL calculations), showcasing specific applications of the general theory discussed. Given its scope, this book is a valuable resource for engineers, software designers, standard developers, professors, and students.Recommender Systems in Fashion and Retail (Lecture Notes in Electrical Engineering #734)
By Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany. 2021
This book includes the proceedings of the second workshop on recommender systems in fashion and retail (2020), and it aims…
to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, or size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers).Digital Transformation, Cyber Security and Resilience of Modern Societies (Studies in Big Data #84)
By Krassimir T. Atanassov, Janusz Kacprzyk, Vyacheslav Kharchenko, Todor Tagarev. 2021
This book presents the implementation of novel concepts and solutions, which allows to enhance the cyber security of administrative and industrial systems and the resilience of…
economies and societies to cyber and hybrid threats. This goal can be achieved by rigorous information sharing, enhanced situational awareness, advanced protection of industrial processes and critical infrastructures, and proper account of the human factor, as well as by adequate methods and tools for analysis of big data, including data from social networks, to find best ways to counter hybrid influence. The implementation of these methods and tools is examined here as part of the process of digital transformation through incorporation of advanced information technologies, knowledge management, training and testing environments, and organizational networking. The book is of benefit to practitioners and researchers in the field of cyber security and protection against hybrid threats, as well as to policymakers and senior managers with responsibilities in information and knowledge management, security policies, and human resource management and training.Evolutionary Multi-Criterion Optimization: 11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings (Lecture Notes in Computer Science #12654)
By Hui Li, Qingfu Zhang, Hisao Ishibuchi, Ran Cheng, Ke Li, Handing Wang, Aimin Zhou. 2021
This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen,…
China, in March 2021.The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications.Digitale Dekarbonisierung: Technologieoffen die Klimaziele erreichen
By Thomas Kaiser, Oliver D. Doleski, Michael Metzger, Stefan Niessen, Sebastian Thiem. 2021
Das Buch liefert erstmals konkrete Antworten auf die Frage, wie datenbasierte Verfahren bei der Dekarbonisierung von Betriebsprozessen helfen können. Der…
Text beschränkt sich dabei nicht auf die üblichen Ansätze zur Reduzierung klimaschädlicher Treibhausgasemissionen wie bspw. dem Verzicht des Einsatzes fossiler Energieträger. Vielmehr wird in dem Text der pragmatische und vor allem technologieoffene Blick auf die Dekarbonisierung energieintensiver Prozesse oder Verfahren gelenkt und dem Leser ein datenanalytisches Modell zur Optimierung des Energiesystems, welches dann deutlich weniger Treibhausgase emittiert, vorgestellt.