Tous les ebooks de la collection "SpringerBriefs in Computer Science" - Springer

346 Livre(s)


Ajouter à ma liste d'envies Cognitive Security Linan Huang , Quanyan Zhu This book presents the latest research in cognitive security, a rapidly emerging field that addresses the vulnerabilities in human behavior and cognition that can lead to Cyber-Physical Systems (CPS) compromise.This book demonstrates that as adversaries increasingly use... Editeur : Springer Parution : 2023-06-02 Collection : SpringerBriefs in Computer Science PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Cross-Technology Coexistence Design for Wireless Networks Kaishun Wu , Junmei Yao This book introduces readers to the fundamentals of the cross-technology coexistence problem in heterogeneous wireless networks. It also highlights a range of mechanisms designed to combat this problem and improve network performance, including protocol design,... Editeur : Springer Parution : 2023-05-22 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Artificial Intelligence: A Bridge Between Psychoanalysis and Neurology Dietmar Dietrich To be able to merge the psyche with the neural system has been a long-sought goal. There is much scientific literature on results from research on this topic, but the goal of this “booklet” is to present the subject in a nutshell and to attract a wider audience to this... Editeur : Springer Parution : 2023-05-11 Collection : SpringerBriefs in Computer Science PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Objective Information Theory Collectif Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in this monograph. To formally analyze, design, develop, and evaluate the information, OIT interprets the information from... Editeur : Springer Parution : 2023-04-04 Collection : SpringerBriefs in Computer Science PDF, ePub Gratuit PDF ePub
Ajouter à ma liste d'envies Deep Cognitive Networks Yan Huang , Liang Wang Although deep learning models have achieved great progress in vision, speech, language, planning, control, and many other areas, there still exists a large performance gap between deep learning models and the human cognitive system. Many researchers argue that one of... Editeur : Springer Parution : 2023-03-30 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Convolutional Neural Networks for Medical Applications Teik Toe Teoh Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applyingConvolutional Neural Networks (CNNs) to the medical imagery domain. This book will... Editeur : Springer Parution : 2023-03-23 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Dynamic Network Representation Based on Latent Factorization of Tensors Xin Luo , Xuke Wu , Hao Wu A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes and large-scale dynamic real-time interactions among them, where each node indicates a specified entity, each directed... Editeur : Springer Parution : 2023-03-07 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Machine Learning Empowered Intelligent Data Center Networking Mingsong Chen , Bo Li , Ting Wang , Shui Yu An Introduction to the Machine Learning Empowered Intelligent Data Center Networking Fundamentals of Machine Learning in Data Center Networks. This book reviews the common learning paradigms that are widely used in data centernetworks, and offers an introduction... Editeur : Springer Parution : 2023-02-21 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Developing Sustainable and Energy-Efficient Software Systems Artem Kruglov , Giancarlo Succi This open access book provides information how to choose and collect the appropriate metrics for a software project in an organization. There are several kinds of metrics, based on the analysis of source code and developed for different programming paradigms such as... Editeur : Springer Parution : 2023-02-06 Collection : SpringerBriefs in Computer Science PDF, ePub Gratuit PDF ePub
Ajouter à ma liste d'envies Representation in Machine Learning M. Avinash , M. N. Murty This book provides a concise but comprehensive guide to representation, which forms the core of Machine Learning (ML). State-of-the-art practical applications involve a number of challenges for the analysis of high-dimensional data. Unfortunately, many popular ML... Editeur : Springer Parution : 2023-01-20 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Intelligent Computing and Communication for the Internet of Vehicles Jie Gao , Mushu Li , Xuemin (Sherman) Shen , Lian Zhao This book investigates intelligent network resource management for IoV, with the objective of maximizing the communication and computing performance of vehicle users. Focusing on two representative use cases in IoV, i.e., safety message broadcast and autonomous driving,... Editeur : Springer Parution : 2023-01-04 Collection : SpringerBriefs in Computer Science PDF, ePub 47,46 € PDF ePub
Ajouter à ma liste d'envies Concise Guide to Numerical Algorithmics John Lawrence Nazareth Numerical Algorithmic Science and Engineering (NAS&E), or more compactly,Numerical Algorithmics, is the theoretical and empirical study and the practical implementation and application of algorithms for solving finite-dimensional problems of a numeric nature. The... Editeur : Springer Parution : 2023-01-02 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Robust Latent Feature Learning for Incomplete Big Data Di Wu Incomplete big data are frequently encountered in many industrial applications, such as recommender systems, the Internet of Things, intelligent transportation, cloud computing, and so on. It is of great significance to analyze them for mining rich and valuable... Editeur : Springer Parution : 2022-12-06 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Wineinformatics Bernard Chen Wineinformatics is a new data science application with a focus on understanding wine through artificial intelligence. Thousands of new wine reviews are produced monthly, which benefits the understanding of wine through wine experts for winemakers and consumers. This... Editeur : Springer Parution : 2022-11-29 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Latent Factor Analysis for High-dimensional and Sparse Matrices Xin Luo , Ye Yuan Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related industrial applications. The performance of a latent factor analysis model relies heavily on... Editeur : Springer Parution : 2022-11-15 Collection : SpringerBriefs in Computer Science PDF, ePub 47,46 € PDF ePub
Ajouter à ma liste d'envies Robust Network Compressive Sensing Yi-Chao Chen , Minglu Li , Feng Lyu , Guangtao Xue This book investigates compressive sensing techniques to provide a robust and general framework for network data analytics. The goal is to introduce a compressive sensing framework for missing data interpolation, anomaly detection, data segmentation and activity... Editeur : Springer Parution : 2022-10-22 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Cyber-Security Threats and Response Models in Nuclear Power Plants Collectif This SpringerBrief presents a brief introduction to probabilistic risk assessment (PRA), followed by a discussion of abnormal event detection techniques in industrial control systems (ICS). It also provides an introduction to the use of game theory for the development... Editeur : Springer Parution : 2022-10-10 Collection : SpringerBriefs in Computer Science PDF, ePub 47,46 € PDF ePub
Ajouter à ma liste d'envies Feedback Arc Set Robert Kudelic The main aim of the book is to give a review of all relevant information regarding a well-known and important problem of Feedback Arc Set (FAS). This review naturally also includes a history of the problem, as well as specific algorithms. To this point such a work does... Editeur : Springer Parution : 2022-10-10 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Bringing Machine Learning to Software-Defined Networks Zehua Guo Emerging machine learning techniques bring new opportunities to flexible network control and management. This book focuses on using state-of-the-art machine learning-based approaches to improve the performance of Software-Defined Networking (SDN). It will apply several... Editeur : Springer Parution : 2022-10-05 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Machine Learning for Cybersecurity Marwan Omar This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry.By implementing innovative deep learning solutions,... Editeur : Springer Parution : 2022-09-24 Collection : SpringerBriefs in Computer Science PDF, ePub 58,01 € PDF ePub
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