Advances In Neural Computation Machine Learning And Cognitive Research Iv PDF Download
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Author | : Boris Kryzhanovsky |
Publisher | : Springer Nature |
Total Pages | : 441 |
Release | : 2020-10-01 |
Genre | : Technology & Engineering |
ISBN | : 3030605779 |
Download Advances in Neural Computation, Machine Learning, and Cognitive Research IV Book in PDF, ePub and Kindle
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia.
Author | : Boris Kryzhanovsky |
Publisher | : Springer Nature |
Total Pages | : 365 |
Release | : 2021-11-22 |
Genre | : Technology & Engineering |
ISBN | : 3030915816 |
Download Advances in Neural Computation, Machine Learning, and Cognitive Research V Book in PDF, ePub and Kindle
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia.
Author | : Boris Kryzhanovsky |
Publisher | : Springer Nature |
Total Pages | : 585 |
Release | : 2022-10-18 |
Genre | : Technology & Engineering |
ISBN | : 3031190327 |
Download Advances in Neural Computation, Machine Learning, and Cognitive Research VI Book in PDF, ePub and Kindle
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXIV International Conference on Neuroinformatics, held on October 17–21, 2022, in Moscow, Russia.
Author | : Boris Kryzhanovsky |
Publisher | : Springer |
Total Pages | : 208 |
Release | : 2017-08-28 |
Genre | : Technology & Engineering |
ISBN | : 3319666045 |
Download Advances in Neural Computation, Machine Learning, and Cognitive Research Book in PDF, ePub and Kindle
This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.
Author | : Boris Kryzhanovsky |
Publisher | : Springer |
Total Pages | : 344 |
Release | : 2018-10-06 |
Genre | : Technology & Engineering |
ISBN | : 3030013286 |
Download Advances in Neural Computation, Machine Learning, and Cognitive Research II Book in PDF, ePub and Kindle
This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XX International Conference on Neuroinformatics, held in Moscow, Russia on October 8–12, 2018.
Author | : Boris Kryzhanovsky |
Publisher | : Springer Nature |
Total Pages | : 428 |
Release | : 2019-09-03 |
Genre | : Technology & Engineering |
ISBN | : 3030304256 |
Download Advances in Neural Computation, Machine Learning, and Cognitive Research III Book in PDF, ePub and Kindle
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXI International Conference on Neuroinformatics, held on October 7-11, 2019, in Dolgoprudny, a town in Moscow region, Russia.
Author | : Boris Kryzhanovsky |
Publisher | : Springer Nature |
Total Pages | : 505 |
Release | : 2023-11-12 |
Genre | : Technology & Engineering |
ISBN | : 3031448650 |
Download Advances in Neural Computation, Machine Learning, and Cognitive Research VII Book in PDF, ePub and Kindle
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXV International Conference on Neuroinformatics, held on October 23-27, 2023, in Moscow, Russia.
Author | : Sergey Kovalev |
Publisher | : Springer Nature |
Total Pages | : 716 |
Release | : 2021-09-15 |
Genre | : Technology & Engineering |
ISBN | : 3030871789 |
Download Proceedings of the Fifth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’21) Book in PDF, ePub and Kindle
This book presents key advances in intelligent information technologies for industry. This book of Lecture Notes in Networks and Systems contains the papers presented in the main track of IITI 2021, the Fifth International Scientific Conference on Intelligent Information Technologies for Industry held on September 30 – October 4, 2021 in Sirius, Russia. The conference was jointly co-organized by Rostov State Transport University (Russia) and VŠB–Technical University of Ostrava (Czech Republic) with the participation of Russian Association for Artificial Intelligence (RAAI) and Sirius University (Russia). IITI 2021 was devoted to practical models and industrial applications related to intelligent information systems. It was considered as a meeting point for researchers and practitioners to enable the implementation of advanced information technologies into various industries. Nevertheless, some theoretical talks concerning the state of the art in intelligent systems and soft computing were also included into proceedings. There were 180 paper submissions from 14 countries. Each submission was reviewed by at least three chairs or PC members. We accepted 69 regular papers (38\%). Unfortunately, due to limitations of conference topics and edited volumes, the Program Committee was forced to reject some interesting papers, which did not satisfy these topics or publisher requirements. We would like to thank all authors and reviewers for their work and valuable contributions. The friendly and welcoming attitude of conference supporters and contributors made this event a success!
Author | : Walter Lacarbonara |
Publisher | : Springer Nature |
Total Pages | : 598 |
Release | : 2022-03-01 |
Genre | : Technology & Engineering |
ISBN | : 3030811700 |
Download Advances in Nonlinear Dynamics Book in PDF, ePub and Kindle
This third of three volumes includes papers from the second series of NODYCON, which was held virtually in February of 2021. The conference papers reflect a broad coverage of topics in nonlinear dynamics, ranging from traditional topics from established streams of research to those from relatively unexplored and emerging venues of research. These include · Complex dynamics of COVID-19: modeling, prediction and control · Nonlinear phenomena in bio-systems and eco-systems · Energy harvesting · MEMS/NEMS · Multifunctional structures, materials and metamaterials · Nonlinear waves · Chaotic systems, stochasticity, and uncertainty
Author | : George A. Tsihrintzis |
Publisher | : Springer Nature |
Total Pages | : 237 |
Release | : 2021-08-05 |
Genre | : Technology & Engineering |
ISBN | : 3030767949 |
Download Advances in Machine Learning/Deep Learning-based Technologies Book in PDF, ePub and Kindle
As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.