Proceedings Of The Seventh International Scientific Conference Intelligent Information Technologies For Industry Iiti23
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Author | : Sergey Kovalev |
Publisher | : Springer Nature |
Total Pages | : 444 |
Release | : 2023-10-22 |
Genre | : Technology & Engineering |
ISBN | : 3031437896 |
This book contains the works connected with the key advances in Industrial Artificial Intelligence presented at IITI 2023, the Seventh International Scientific Conference on Intelligent Information Technologies for Industry held on September 25-30, 2023 in St. Petersburg, Russia. The works were written by the experts in the field of applied artificial intelligence including topics such as Machine Learning, Explainable AI, Decision-Making, Fuzzy Logic, Multi-Agent and Bioinspired Systems. The following industrial application domains were touched: railway automation, cyber security, intelligent medical systems, navigation and energetic systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.
Author | : Sergey Kovalev |
Publisher | : Springer Nature |
Total Pages | : 359 |
Release | : 2023-09-17 |
Genre | : Technology & Engineering |
ISBN | : 3031437926 |
This book contains the works connected with the key advances in Industrial Artificial Intelligence presented at IITI 2023, the Seventh International Scientific Conference on Intelligent Information Technologies for Industry held on September 25-30, 2023 in St. Petersburg, Russia. The works were written by the experts in the field of applied artificial intelligence including topics such as Machine Learning, Explainable AI, Decision-Making, Fuzzy Logic, Multi-Agent and Bioinspired Systems. The following industrial application domains were touched: railway automation, cyber security, intelligent medical systems, navigation and energetic systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.
Author | : Svetlana Igorevna Ashmarina |
Publisher | : Springer Nature |
Total Pages | : 563 |
Release | : 2022-02-04 |
Genre | : Technology & Engineering |
ISBN | : 3030948730 |
This book contains contributions from an international scientific conference, “Smart Nations: Global Trends In The Digital Economy”, which was organized by the State University of Management (Moscow). By presenting international research on the issues of the Smart Nations concept, this book includes topics such as state and legal aspects of digital transformation of management systems, new technologies in the digital environment of the information society and smart economy as a new reality. The conference proceedings cover legal, informational, technological and other aspects of socio-economic development in the context of digital innovations. This work addresses theoretical and practical aspects by studying the phenomenon of Smart Nations that requires understanding the modern information technologies, big data analysis, distributed registry management, new microprocessor technologies and broadband data transmission technologies in terms of their usefulness and accessibility to any representative of humanity.
Author | : Svetlana Igorevna Ashmarina |
Publisher | : Springer Nature |
Total Pages | : 444 |
Release | : 2022-01-28 |
Genre | : Technology & Engineering |
ISBN | : 3030948706 |
This book contains contributions from an international scientific conference, “Smart Nations: Global Trends In The Digital Economy”, which was organized by the State University of Management (Moscow). By presenting international research on the issues of the Smart Nations concept, this book includes topics such as smart business in a "smart city", digital marketing systems and Smart Nations phenomenon: social and business aspects. The conference proceedings cover legal, informational, technological and other aspects of socio-economic development in the context of digital innovations. This work provides significant value for scientists, teachers and students of higher educational institutions and specialists, who are researching socio-economic development issues in the era of smart technologies.
Author | : Ajith Abraham |
Publisher | : Springer Nature |
Total Pages | : 705 |
Release | : 2022-02-21 |
Genre | : Technology & Engineering |
ISBN | : 3030963020 |
This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing and their various practical applications. It presents 53 selected papers from the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) and 11 papers from the 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021), which was held online, from December 15 to 17, 2021. A premier conference in the field of soft computing, artificial intelligence and machine learning applications, SoCPaR-NaBIC 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.
Author | : Aboul Ella Hassanien |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2023-02-26 |
Genre | : Technology & Engineering |
ISBN | : 9783030941048 |
This book presents the augmented reality (AR) and virtual reality (VR) automotive applications. It unites automobile with a leading technology i.e. augmented and virtual reality and uses the advantages of the latter to solve the problems faced by the former. The book highlights the reasons for the growing abundance and complexity in this sector. Virtual and augmented reality presents a powerful engineering tool that finds application in various engineering fields. It brings new possibilities that result is increasing of productivity and reliability of production, quality of products and processes. The book further illustrates the possible challenges in its applications and suggests ways to overcome them. The book includes nine chapters focusing on automobile collision avoidance, self-driving cars, autonomous vehicles, navigation systems, and many more applications.
Author | : Krassimir T. Atanassov |
Publisher | : Springer Nature |
Total Pages | : 457 |
Release | : 2022-02-18 |
Genre | : Technology & Engineering |
ISBN | : 3030959295 |
This book is composed of selected papers from the Sixteenth National Conference on Operational and Systems Research, BOS-2020, held on December 14-15, 2020, one of premiere conferences in the field of operational and systems research. The second is the Nineteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2020, held on December 10-11, 2020, in Warsaw, Poland, in turn—one of premiere conferences on fuzzy logic, notably on extensions of the traditional fuzzy sets, also comprising a considerable part on the generalized nets (GNs), an important extension of the traditional Petri nets. A joint publication of selected papers from the two conferences follows a long tradition of such a joint organization and—from a substantial point of view—combines systems modeling, systems analysis, broadly perceived operational research, notably optimization, decision making, and decision support, with various aspects of uncertain and imprecise information and their related tools and techniques.
Author | : Serhiy Shkarlet |
Publisher | : Springer Nature |
Total Pages | : 489 |
Release | : 2022-02-23 |
Genre | : Technology & Engineering |
ISBN | : 3030899020 |
This book contains works on mathematical and simulation modeling of processes in various domains: ecology and geographic information systems, IT, industry, and project management. The development of complex multicomponent systems requires an increase in accuracy, efficiency, and adequacy while reducing the cost of their creation. The studies presented in the book are useful to specialists who involved in the development of real events models-analog, management and decision-making models, production models, and software products. Scientists can get acquainted with the latest research in various decisions proposed by leading scholars and identify promising directions for solving complex scientific and practical problems. The chapters of this book contain the contributions presented on the 16th International Scientific-practical Conference, MODS, June 28–July 01, 2021, Chernihiv, Ukraine.
Author | : Mykola Nechyporuk |
Publisher | : Springer |
Total Pages | : 1070 |
Release | : 2022-02-22 |
Genre | : Technology & Engineering |
ISBN | : 9783030942588 |
The International Scientific and Technical Conference “Integrated Computer Technologies in Mechanical Engineering” – Synergetic Engineering (ICTM) was established by National Aerospace University “Kharkiv Aviation Institute”. The Conference ICTM’2021 was held in Kharkiv, Ukraine, during October 28–29, 2021. During this conference, technical exchanges between the research community were carried out in the forms of keynote speeches, panel discussions, as well as special session. In addition, participants were treated to a series of receptions, which forge collaborations among fellow researchers. ICTM’2021 received 203 papers submissions from different countries. Target Groups ICTM was formed to bring together outstanding researchers and practitioners in the field of information technology in the design and manufacture of engines; creation of rocket space systems, aerospace engineering from all over the world to share their experience and expertise.
Author | : Alberto Fernández |
Publisher | : Springer |
Total Pages | : 385 |
Release | : 2018-10-22 |
Genre | : Computers |
ISBN | : 3319980742 |
This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing methods and algorithm-level solutions, taking also into account those ensemble-learning solutions that embed any of the former alternatives. Furthermore, it focuses on the extension of the problem for multi-class problems, where the former classical methods are no longer to be applied in a straightforward way. This book also focuses on the data intrinsic characteristics that are the main causes which, added to the uneven class distribution, truly hinders the performance of classification algorithms in this scenario. Then, some notes on data reduction are provided in order to understand the advantages related to the use of this type of approaches. Finally this book introduces some novel areas of study that are gathering a deeper attention on the imbalanced data issue. Specifically, it considers the classification of data streams, non-classical classification problems, and the scalability related to Big Data. Examples of software libraries and modules to address imbalanced classification are provided. This book is highly suitable for technical professionals, senior undergraduate and graduate students in the areas of data science, computer science and engineering. It will also be useful for scientists and researchers to gain insight on the current developments in this area of study, as well as future research directions.