Proceedings Of Cecnet 2021

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Proceedings of CECNet 2021

A.J. Tallón-Ballesteros
Proceedings of CECNet 2021 Book PDF

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 788 pages
File Size : 47,5 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9781643682419

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Proceedings of CECNet 2021 by A.J. Tallón-Ballesteros Pdf

It is almost impossible to imagine life today without the electronics, communications and networks we have all come to take for granted. The 6G network is currently under development and some chips able to operate at the Terahertz (THz) scale have already been introduced, so the next decade will probably see the consolidation of 6G-based technology, as well as many compliant devices. This book presents the proceedings of the 11th International Conference on Electronics, Communications and Networks (CECNet 2021), initially planned to be held from 18-21 November 2021 in Beijing, China, but ultimately held as an online event due to ongoing COVID-19 restrictions. The CECNet series is now an established annual event attracting participants in the interrelated fields of electronics, computers, communications and wireless communications engineering and technology from around the world. Careful review by program committee members, who took into consideration the breadth and depth of those research topics that fall within the scope of CECNet, resulted in the selection of the 88 papers presented here from the 325 submissions received. This represents an acceptance rate of around 27%. Providing an overview of current research and developments in these rapidly evolving fields, the book will be of interest to all those working with digital communications networks.

Proceedings of CECNet 2022

A.J. Tallón-Ballesteros
Proceedings of CECNet 2022 Book PDF

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 696 pages
File Size : 44,5 Mb
Release : 2022-12-29
Category : Computers
ISBN : 9781643683690

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Proceedings of CECNet 2022 by A.J. Tallón-Ballesteros Pdf

Electronics, communication and networks coexist, and it is not possible to conceive of our current society without them. Within the next decade we will probably see the consolidation of 6G-based technology, accompanied by many compatible devices, and fiber-optic is already an advanced technology with many applications. This book presents the proceedings of CECNet 2022, the 12th International Conference on Electronics, Communications and Networks, held as a virtual event with no face-to-face participation in Xiamen, China, from 4 to 7 November 2022. CECNet is held annually, and covers many interrelated groups of topics such as electronics technology, communication engineering and technology, wireless communications engineering and technology and computer engineering and technology. This year the conference committee received 313 submissions. All papers were carefully reviewed by program committee members, taking into consideration the breadth and depth of research topics falling within the scope of the conference, and after further discussion, 79 papers were selected for presentation at the conference and for publication in this book. This represents an acceptance rate of about 25%. The book offers an overview of the latest research and developments in these rapidly evolving fields, and will be of interest to all those working with electronics, communication and networks.

Legal Knowledge and Information Systems

E. Schweighofer
Legal Knowledge and Information Systems Book PDF

Author : E. Schweighofer
Publisher : IOS Press
Page : 274 pages
File Size : 47,8 Mb
Release : 2022-01-06
Category : Computers
ISBN : 9781643682532

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Legal Knowledge and Information Systems by E. Schweighofer Pdf

Traditionally concerned with computational models of legal reasoning and the analysis of legal data, the field of legal knowledge and information systems has seen increasing interest in the application of data analytics and machine learning tools to legal tasks in recent years. This book presents the proceedings of the 34th annual JURIX conference, which, due to pandemic restrictions, was hosted online in a virtual format from 8 – 10 December 2021 in Vilnius, Lithuania. Since its inception as a mainly Dutch event, the JURIX conference has become truly international and now, as a platform for the exchange of knowledge between theoretical research and applications, attracts academics, legal practitioners, software companies, governmental agencies and judiciary from around the world. A total of 65 submissions were received for this edition, and after rigorous review, 30 of these were selected for publication as long papers or short papers, representing an overall acceptance rate of 46 %. The papers are divided into 6 sections: Visualization and Legal Informatics; Knowledge Representation and Data Analytics; Logical and Conceptual Representations; Predictive Models; Explainable Artificial Intelligence; and Legal Ethics, and cover a wide range of topics, from computational models of legal argumentation, case-based reasoning, legal ontologies, smart contracts, privacy management and evidential reasoning, through information extraction from different types of text in legal documents, to ethical dilemmas. Providing an overview of recent advances and the cross-fertilization between law and computing technologies, this book will be of interest to all those working at the interface between technology and law.

Abstraction in Ontology-based Data Management

G. Cima
Abstraction in Ontology based Data Management Book PDF

Author : G. Cima
Publisher : IOS Press
Page : 270 pages
File Size : 41,5 Mb
Release : 2022-03-08
Category : Computers
ISBN : 9781643682594

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Abstraction in Ontology-based Data Management by G. Cima Pdf

Effectively documenting data services is a crucial issue in any organization, not only for governing data but also for interoperation purposes. Indeed, in order to fully realize the promises and benefits of a data-driven society, data-driven approaches need to be resilient, transparent, and fully accountable. This book, Abstraction in Ontology-based Data Management, proposes a new approach to automatically associating formal semantic description to data services, thus bringing them into compliance with the FAIR (Findable, Accessible, Interoperable, and Reusable) guiding principles. The approach is founded on the Ontology-based Data Management (OBDM) paradigm, in which a domain ontology is used to provide a high-level semantic layer mapped to the source schema of an organization containing data, thus abstracting from the technical details of the data layer implementation. A formal framework for a novel reasoning task in OBDM, called Abstraction, is introduced in which a data service is assumed to be expressed as a query over the source schema, and the aim is to derive a query over the ontology that semantically describes the given data service best with respect to the underlying OBDM specification. In a general scenario that uses the most popular languages in the OBDM literature, an in-depth complexity analysis of two computational problems associated with the framework is carried out. Also investigated is the problem of expressing abstractions in a non-monotonic query language as well as the impact of adding inequalities. Regarding the latter, the problem of answering queries with inequalities over lightweight ontologies is first studied. Lastly, the author illustrates how the achieved results contribute to new results in the Semantic Web context and in the Relational Database theory. The book will be of interest to all those engaged in Artificial Intelligence and Data Management.

Hybrid Offline/Online Methods for Optimization Under Uncertainty

A. De Filippo
Hybrid Offline Online Methods for Optimization Under Uncertainty Book PDF

Author : A. De Filippo
Publisher : IOS Press
Page : 126 pages
File Size : 52,7 Mb
Release : 2022-04-12
Category : Computers
ISBN : 9781643682631

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Hybrid Offline/Online Methods for Optimization Under Uncertainty by A. De Filippo Pdf

Balancing the solution-quality/time trade-off and optimizing problems which feature offline and online phases can deliver significant improvements in efficiency and budget control. Offline/online integration yields benefits by achieving high quality solutions while reducing online computation time. This book considers multi-stage optimization problems under uncertainty and proposes various methods that have broad applicability. Due to the complexity of the task, the most popular approaches depend on the temporal granularity of the decisions to be made and are, in general, sampling-based methods and heuristics. Long-term strategic decisions that may have a major impact are typically solved using these more accurate, but expensive, sampling-based approaches. Short-term operational decisions often need to be made over multiple steps within a short time frame and are commonly addressed via polynomial-time heuristics, with the more advanced sampling-based methods only being applicable if their computational cost can be carefully managed. Despite being strongly interconnected, these 2 phases are typically solved in isolation. In the first part of the book, general methods based on a tighter integration between the two phases are proposed and their applicability explored, and these may lead to significant improvements. The second part of the book focuses on how to manage the cost/quality trade-off of online stochastic anticipatory algorithms, taking advantage of some offline information. All the methods proposed here provide multiple options to balance the quality/time trade-off in optimization problems that involve offline and online phases, and are suitable for a variety of practical application scenarios.

Design Studies and Intelligence Engineering

L.C. Jain,V.E. Balas,Q. Wu
Design Studies and Intelligence Engineering Book PDF

Author : L.C. Jain,V.E. Balas,Q. Wu
Publisher : IOS Press
Page : 482 pages
File Size : 49,9 Mb
Release : 2022-03-30
Category : Computers
ISBN : 9781643682570

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Design Studies and Intelligence Engineering by L.C. Jain,V.E. Balas,Q. Wu Pdf

The technologies applied in design studies vary from basic theories to more application-based systems, and intelligence engineering technologies – such as computer-aided industrial design, human factor design, and greenhouse design – play a significant role in design science. Intelligence engineering technologies encompass both theoretical and application perspectives, such as computational technologies, sensing technologies, and video detection. Intelligence engineering is multidisciplinary in nature, promoting cooperation, exchange and discussion between organizations and researchers from diverse fields. This book presents the proceedings of DSIE2021, the 2021 International Symposium on Design Studies and Intelligence Engineering, held in Hangzhou, China, on 27 & 28 November 2021. This annual conference invites renowned experts from around the world to speak on their specialist topics, providing a platform for many professionals and researchers from industry and academia to exchange and discuss recent advances in the field of design studies and intelligence engineering. The 210 submissions received were rigorously reviewed, and each of the 50 papers presented here was selected based on scores from three or four referees. Papers cover a very wide range of topics, from the design of a pneumatic soft finger with two joints, and the emotion of texture, to the design evaluation of a health management terminal for the elderly, and a multi-robot planning algorithm with quad tree map division for obstacles of irregular shape. Providing a varied overview of recent developments in design and intelligence engineering, this book will be of interest to researchers and all those working in the field.

Learning and Reasoning in Hybrid Structured Spaces

P. Morettin
Learning and Reasoning in Hybrid Structured Spaces Book PDF

Author : P. Morettin
Publisher : IOS Press
Page : 112 pages
File Size : 50,6 Mb
Release : 2022-04-15
Category : Computers
ISBN : 9781643682679

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Learning and Reasoning in Hybrid Structured Spaces by P. Morettin Pdf

Artificial intelligence often has to deal with uncertain scenarios, such as a partially observed environment or noisy observations. Traditional probabilistic models, while being very principled approaches in these contexts, are incapable of dealing with both algebraic and logical constraints. Existing hybrid continuous/discrete models are typically limited in expressivity, or do not offer any guarantee on the approximation errors. This book, Learning and Reasoning in Hybrid Structured Spaces, discusses a recent and general formalism called Weighted Model Integration (WMI), which enables probabilistic modeling and inference in hybrid structured domains. WMI-based inference algorithms differ with respect to most alternatives in that probabilities are computed inside a structured support involving both logical and algebraic relationships between variables. While the research in this area is at an early stage, we are witnessing an increasing interest in the study and development of scalable inference procedures and effective learning algorithms in this setting. This book details some of the most impactful contributions in context of WMI-based inference in the last 5 years. Moreover, by providing a gentle introduction to the main concepts related to WMI, the book can be useful for both theoretical researchers and practitioners alike.

Modern Management Based on Big Data III

A.J. Tallón-Ballesteros
Modern Management Based on Big Data III Book PDF

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 498 pages
File Size : 48,8 Mb
Release : 2022-09-29
Category : Computers
ISBN : 9781643683010

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Modern Management Based on Big Data III by A.J. Tallón-Ballesteros Pdf

Data is the basic ingredient of all Big Data applications, and Big Data technologies are constantly deploying new strategies to maximise efficiency and reduce the time taken to process information. This book presents the proceedings of MMBD2022, the third edition of the conference series Modern Management based on Big Data (MMBD). The conference was originally scheduled to take place from 15 to 18 August 2022 in Seoul, South Korea, but was changed to a virtual event on the same dates. Some 200 submissions were received for presentation at the conference, 52 of which were ultimately accepted after exhaustive review by members of the programme committee and peer-reviewers, who took into account the breadth and depth of the research topics and the scope of MMBD. Topics covered include data analytics, modelling, technologies and visualization, architectures for parallel processing systems, data mining tools and techniques, machine learning algorithms, and big data for engineering applications. There are also papers covering modern management, including topics such as strategy, decision making, manufacturing and logistics-based systems, engineering economy, information systems and law-based information treatment, and papers from a special session covering big data in manufacturing, retail, healthcare, accounting, banking, education, global trading, and e-commerce. Big data analysis and emerging applications were popular topics. The book includes many innovative and original ideas, as well as results of general significance, all supported by clear and rigorous reasoning and compelling evidence and methods, and will be of interest to all those working with Big Data.

Computational Models of Argument

F. Toni,S. Polberg,R. Booth
Computational Models of Argument Book PDF

Author : F. Toni,S. Polberg,R. Booth
Publisher : IOS Press
Page : 400 pages
File Size : 42,7 Mb
Release : 2022-09-29
Category : Computers
ISBN : 9781643683072

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Computational Models of Argument by F. Toni,S. Polberg,R. Booth Pdf

Argumentation has traditionally been studied across a number of fields, notably philosophy, cognitive science, linguistics and jurisprudence. The study of computational models of argumentation is a more recent endeavor, bringing together researchers from traditional fields and computer science and engineering within a rich, interdisciplinary matrix. Computational models of argumentation have been identified and used since the 1980s, and more recently an important role for argumentation in leading to principled decisions has emerged in several settings. This book presents the proceedings of COMMA 2022 the 9th International Conference on Computational Models of Argument, held in Cardiff, Wales, United Kingdom, during 14 - 16 September 2022. The book contains 27 regular papers and 16 demo papers from a total of 75 submissions, as well as 3 invited talks from Prof Paul Dunne (University of Liverpool), Prof Iryna Gurevych (TU Darmstadt), and Prof Antonis Kakas (University of Cyprus), which reflect the diverse nature of the field. Papers are a mix of theoretical and practical contributions; theoretical contributions include new formal models, the study of formal or computational properties of models, design for implemented systems and experimental research; practical papers include applications to law, machine learning and explainability. Abstract and structured accounts of argumentation are covered, as are relations between different accounts. Many papers focus on the evaluation of arguments or their conclusions given a body of arguments, with a continuation of a recent trend to study gradual or probabilistic notions of evaluation. The book offers an overview of recent and current research and will be of interest to all those working with computational models of argumentation.

PAIS 2022

A. Passerini,T. Schiex
PAIS 2022 Book PDF

Author : A. Passerini,T. Schiex
Publisher : IOS Press
Page : 172 pages
File Size : 52,8 Mb
Release : 2022-08-05
Category : Computers
ISBN : 9781643682952

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PAIS 2022 by A. Passerini,T. Schiex Pdf

Artificial Intelligence (AI) is a central topic in contemporary computer science; one which has enabled many groundbreaking developments that have significantly influenced our society. Not only has it proved to be of fundamental importance in areas such as medicine, biology, economics, philosophy, linguistics, psychology and engineering, but it has also had a significant impact in a number of fields, including e-commerce, tourism, e-government, national security, manufacturing and other economic sectors. This book contains the proceedings of PAIS 2022, the 11th Conference on Prestigious Applications of Artificial Intelligence, held in Vienna, Austria, on 25 July 2022 as a satellite event of IJCAI-ECAI 2022. The PAIS conference invites papers describing innovative applications of AI techniques to real-world systems and problems, and aims to provide a forum for academic and industrial researchers and practitioners to share their experience and insight on the applicability, development and deployment of intelligent systems. A total of 18 full-paper submissions and 4 extended-abstract submissions were received for the 2022 conference, of which 10 full papers and 3 extended abstracts were accepted after rigorous peer review. The topics covered range from autonomous navigation, air traffic control and satellite management to the optimization of industrial processes and human-in-the-loop applications. The book will be of interest to all those whose work involves the innovative application of AI techniques to real-world situations.

Deep Learning with Relational Logic Representations

G. Šír
Deep Learning with Relational Logic Representations Book PDF

Author : G. Šír
Publisher : IOS Press
Page : 239 pages
File Size : 44,6 Mb
Release : 2022-11-23
Category : Computers
ISBN : 9781643683430

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Deep Learning with Relational Logic Representations by G. Šír Pdf

Deep learning has been used with great success in a number of diverse applications, ranging from image processing to game playing, and the fast progress of this learning paradigm has even been seen as paving the way towards general artificial intelligence. However, the current deep learning models are still principally limited in many ways. This book, ‘Deep Learning with Relational Logic Representations’, addresses the limited expressiveness of the common tensor-based learning representation used in standard deep learning, by generalizing it to relational representations based in mathematical logic. This is the natural formalism for the relational data omnipresent in the interlinked structures of the Internet and relational databases, as well as for the background knowledge often present in the form of relational rules and constraints. These are impossible to properly exploit with standard neural networks, but the book introduces a new declarative deep relational learning framework called Lifted Relational Neural Networks, which generalizes the standard deep learning models into the relational setting by means of a ‘lifting’ paradigm, known from Statistical Relational Learning. The author explains how this approach allows for effective end-to-end deep learning with relational data and knowledge, introduces several enhancements and optimizations to the framework, and demonstrates its expressiveness with various novel deep relational learning concepts, including efficient generalizations of popular contemporary models, such as Graph Neural Networks. Demonstrating the framework across various learning scenarios and benchmarks, including computational efficiency, the book will be of interest to all those interested in the theory and practice of advancing representations of modern deep learning architectures.

Big Data Analysis and Artificial Intelligence for Medical Sciences

Bruno Carpentieri,Paola Lecca
Big Data Analysis and Artificial Intelligence for Medical Sciences Book PDF

Author : Bruno Carpentieri,Paola Lecca
Publisher : John Wiley & Sons
Page : 437 pages
File Size : 53,5 Mb
Release : 2024-05-31
Category : Medical
ISBN : 9781119846550

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Big Data Analysis and Artificial Intelligence for Medical Sciences by Bruno Carpentieri,Paola Lecca Pdf

Big Data Analysis and Artificial Intelligence for Medical Sciences Overview of the current state of the art on the use of artificial intelligence in medicine and biology Big Data Analysis and Artificial Intelligence for Medical Sciences demonstrates the efforts made in the fields of Computational Biology and medical sciences to design and implement robust, accurate, and efficient computer algorithms for modeling the behavior of complex biological systems much faster than using traditional modeling approaches based solely on theory. With chapters written by international experts in the field of medical and biological research, Big Data Analysis and Artificial Intelligence for Medical Sciences includes information on: Studies conducted by the authors which are the result of years of interdisciplinary collaborations with clinicians, computer scientists, mathematicians, and engineers Differences between traditional computational approaches to data processing (those of mathematical biology) versus the experiment-data-theory-model-validation cycle Existing approaches to the use of big data in the healthcare industry, such as through IBM’s Watson Oncology, Microsoft’s Hanover, and Google’s DeepMind Difficulties in the field that have arisen as a result of technological changes, and potential future directions these changes may take A timely and up-to-date resource on the integration of artificial intelligence in medicine and biology, Big Data Analysis and Artificial Intelligence for Medical Sciences is of great benefit not only to professional scholars, but also MSc or PhD program students eager to explore advancement in the field.

Artificial Intelligence of Things

Rama Krishna Challa,Gagangeet Singh Aujla,Lini Mathew,Amod Kumar,Mala Kalra,S. L. Shimi,Garima Saini,Kanika Sharma
Artificial Intelligence of Things Book PDF

Author : Rama Krishna Challa,Gagangeet Singh Aujla,Lini Mathew,Amod Kumar,Mala Kalra,S. L. Shimi,Garima Saini,Kanika Sharma
Publisher : Springer Nature
Page : 409 pages
File Size : 42,7 Mb
Release : 2023-12-02
Category : Computers
ISBN : 9783031487811

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Artificial Intelligence of Things by Rama Krishna Challa,Gagangeet Singh Aujla,Lini Mathew,Amod Kumar,Mala Kalra,S. L. Shimi,Garima Saini,Kanika Sharma Pdf

These two volumes constitute the revised selected papers of First International Conference, ICAIoT 2023, held in Chandigarh, India, during March 30–31, 2023. The 47 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 401 submissions. The two books focus on research issues, opportunities and challenges of AI and IoT applications. They present the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of AI algorithms implementation in IoT Systems

Proceedings of the 11th International Conference on Computer Engineering and Networks

Qi Liu,Xiaodong Liu,Bo Chen,Yiming Zhang,Jiansheng Peng
Proceedings of the 11th International Conference on Computer Engineering and Networks Book PDF

Author : Qi Liu,Xiaodong Liu,Bo Chen,Yiming Zhang,Jiansheng Peng
Publisher : Unknown
Page : 0 pages
File Size : 49,9 Mb
Release : 2022
Category : Electronic
ISBN : 9811680647

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Proceedings of the 11th International Conference on Computer Engineering and Networks by Qi Liu,Xiaodong Liu,Bo Chen,Yiming Zhang,Jiansheng Peng Pdf

This conference proceeding is a collection of the papers accepted by the CENet2021 - the 11th International Conference on Computer Engineering and Networks held on October 21-25, 2021 in Hechi, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.

ICCCE 2021

Amit Kumar,Stefan Mozar
ICCCE 2021 Book PDF

Author : Amit Kumar,Stefan Mozar
Publisher : Springer Nature
Page : 1229 pages
File Size : 49,5 Mb
Release : 2022-05-15
Category : Technology & Engineering
ISBN : 9789811679858

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ICCCE 2021 by Amit Kumar,Stefan Mozar Pdf

This book is a collection of research articles presented at the 4th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2021), held on April 9 and 10, 2021, at CMR Engineering College, Hyderabad, India. ICCCE is one of the most prestigious conferences conceptualized in the field of networking and communication technology offering in-depth information on the latest developments in voice, data, image, and multimedia. Discussing the latest developments in voice and data communication engineering, cyber-physical systems, network science, communication software, image, and multimedia processing research and applications, as well as communication technologies and other related technologies, it includes contributions from both academia and industry. This book is a valuable resource for scientists, research scholars, and PG students working to formulate their research ideas and find the future directions in these areas. Further, it may serve as a reference work to understand the latest engineering and technologies used by practicing engineers in the field of communication engineering.