Computational Intelligence, Thomas, D. Gareth Bywaters, David S.
Автор: Maosong Sun, Xiaojie Wang, Baobao Chang Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data ISBN: 3319690043 ISBN-13(EAN): 9783319690049 Издательство: Springer Рейтинг: Цена: 5300.00 р. Наличие на складе: Есть (3 шт.) Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.
Автор: Ashouri Название: Automatic Tuning of Compilers Using Machine Learning ISBN: 3319714880 ISBN-13(EAN): 9783319714882 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores break-through approaches to tackling and mitigating the well-known problems of compiler optimization using design space exploration and machine learning techniques.
Автор: Maria Mach-Krol, Celina M. Olszak, Tomas Название: Advances in ICT for Business, Industry and Public Sector / ISBN: 3319383043 ISBN-13(EAN): 9783319383040 Издательство: Springer Рейтинг: Цена: 13059.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Multi-level Hierarchical Approach for Configuring Business Processes.- Profiling simulation performance: The example of the German toll system.- Analysis of Content of Posts and Comments in Evolving Social Groups.- Generation of Hierarchical Business Process Models from Attribute Relationship Diagrams.- Nonlinear Time Structures and Nonlinear Time Ontology for Description of Economic Phenomena.- Business Intelligence and Analytics in Organizations.- Low-frequency Signal Reconstruction and Abrupt Change Detection in Non-Stationary Time Series by Enhanced Moving Trend Based Filters.- The Assessment of the EPQ Parameter for Detecting H-Index Manipulation and the Analysis of Scientific Publications.- Fuzzy Multi-attribute Evaluation of Investments.- Theory of digital data processing in the ICT.- The opportunities and challenges connected with implementation of the Big Data concept.
Описание: Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Описание: Explores the strategic role and use of virtual and augmented reality in shaping visitor experiences at art galleries and museums and their ability to enhance education. The book highlights a range of topics such as online learning, digital heritage, and gaming.
Автор: Das, S.K., Das, S.P., Dey, N., Hassanien, A.-E. Название: Machine Learning Algorithms for Industrial Applications ISBN: 3030506401 ISBN-13(EAN): 9783030506407 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics.
Автор: M Z Zhurovskyi; Victor Sineglazov; Elena Chum Название: Artificial Intelligence Systems Based on Hybrid Neural Networks ISBN: 3030484521 ISBN-13(EAN): 9783030484521 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning.
The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images.
Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book’s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.
Автор: Anis Koubaa Название: Robot Operating System (ROS) Volume 4 ISBN: 3030201899 ISBN-13(EAN): 9783030201890 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This is the fourth volume of the successful series Robot Operating Systems: The Complete Reference, providing a comprehensive overview of robot operating systems (ROS), which is currently the main development framework for robotics applications, as well as the latest trends and contributed systems. The book is divided into four parts: Part 1 features two papers on navigation, discussing SLAM and path planning. Part 2 focuses on the integration of ROS into quadcopters and their control. Part 3 then discusses two emerging applications for robotics: cloud robotics, and video stabilization. Part 4 presents tools developed for ROS; the first is a practical alternative to the roslaunch system, and the second is related to penetration testing. This book is a valuable resource for ROS users and wanting to learn more about ROS capabilities and features.
Автор: Brijesh Verma; Ligang Zhang; David Stockwell Название: Roadside Video Data Analysis ISBN: 9811045380 ISBN-13(EAN): 9789811045387 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification problems.
Автор: Mathew Название: Fuzzy Graph Theory ISBN: 3319714066 ISBN-13(EAN): 9783319714066 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a timely overview of fuzzy graph theory, laying the foundation for future applications in a broad range of areas.
Автор: Koubaa, Anis Название: Robot Operating System (ROS) Volume 3 ISBN: 3319915894 ISBN-13(EAN): 9783319915890 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Building on the successful first and second volumes, this book is the third volume of the Springer book on the Robot Operating System (ROS): The Complete Reference. Further, the ROS is being integrated into various robots and systems and is becoming an embedded technology in emerging robotics platforms.
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