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

324 Livre(s)


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 IoT Supply Chain Security Risk Analysis and Mitigation Junaid Farooq , Timothy Kieras , Quanyan Zhu This SpringerBrief introduces methodologies and tools for quantitative understanding and assessment of supply chain risk to critical infrastructure systems. It unites system reliability analysis, optimization theory, detection theory and mechanism design theory to study... Editeur : Springer Parution : 2022-09-05 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Defending Cyber Systems through Reverse Engineering of Criminal Malware Marwan Omar This SpringerBrief discusses underlying principles of malware reverse engineering and introduces the major techniques and tools needed to effectively analyze malware that targets business organizations. It also covers the examination of real-world malware samples, which... Editeur : Springer Parution : 2022-08-29 Collection : SpringerBriefs in Computer Science PDF, ePub 42,19 € PDF ePub
Ajouter à ma liste d'envies Main Memory Management on Relational Database Systems Marcelo Leon Ayala , Pedro Mejia Alvarez , Susana Ortega Cisneros This book provides basic knowledge about main memory management in relational databases as it is needed to support large-scale applications processed completely in memory. In business operations, real-time predictability and high speed is a must. Hence every opportunity... Editeur : Springer Parution : 2022-08-12 Collection : SpringerBriefs in Computer Science PDF 58,01 €
Ajouter à ma liste d'envies DevOps for Airborne Software Umut Durak , Wanja Zaeske This Springer Brief presents a selection of tools and techniques which either enable or improve the use of DevOps for airborne software engineering. They are evaluated against the unique challenges of the aviation industry such as safety and airworthiness, and exercised... Editeur : Springer Parution : 2022-07-27 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Secure Multi-Party E-Commerce Protocols Catalin V. Bîrjoveanu , Mirela Bîrjoveanu This book presents the state of the art for multi-party fair exchange protocols and provides insight details regarding multi-party applications for buying physical products. The authors tackle the fairness problem in e-commerce protocols for buying physical products in... Editeur : Springer Parution : 2022-06-30 Collection : SpringerBriefs in Computer Science PDF 47,46 €
Ajouter à ma liste d'envies Knowledge Discovery from Multi-Sourced Data Guojun Dai , Hongzhi Wang , Chen Ye This book addresses several knowledge discovery problems on multi-sourced data where the theories, techniques, and methods in data cleaning, data mining, and natural language processing are synthetically used.This book mainly focuses on three data models: the... Editeur : Springer Parution : 2022-06-13 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Deep Learning in Solar Astronomy Xin Huang , Long Xu , Yihua Yan The volume of data being collected in solar astronomy has exponentially increased over the past decade and we will be entering the age of petabyte solar data. Deep learning has been an invaluable tool exploited to efficiently extract key information from the massive... Editeur : Springer Parution : 2022-05-27 Collection : SpringerBriefs in Computer Science PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies GreenEdge: New Perspectives to Energy Management and Supply in Mobile Edge Computing Deke Guo , Guoming Tang , Kui Wu The 5G technology has been commercialized worldwide and is expected to provide superior performance with enhanced mobile broadband, ultra-low latency transmission, and massive IoT connections. Meanwhile, the edge computing paradigm gets popular to provide distributed... Editeur : Springer Parution : 2022-05-17 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Cohesive Subgraph Search Over Large Heterogeneous Information Networks Yixiang Fang , Xuemin Lin , Kai Wang , Wenjie Zhang This SpringerBrief provides the first systematic review of the existing works of cohesive subgraph search (CSS) over large heterogeneous information networks (HINs). It also covers the research breakthroughs of this area, including models, algorithms and comparison... Editeur : Springer Parution : 2022-05-06 Collection : SpringerBriefs in Computer Science PDF, ePub 47,46 € PDF ePub
Ajouter à ma liste d'envies Privacy Preservation in IoT: Machine Learning Approaches Longxiang Gao , Youyang Qu , Yong Xiang , Shui Yu This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive... Editeur : Springer Parution : 2022-04-27 Collection : SpringerBriefs in Computer Science PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Guide to Differential Privacy Modifications Damien Desfontaines , Balázs Pejó Shortly after it was ?rst introduced in 2006, di?erential privacy became the ?agship data privacy de?nition. Since then, numerous variants and extensions were proposed to adapt it to di?erent scenarios and attacker models. In this work, we propose a systematic... Editeur : Springer Parution : 2022-04-09 Collection : SpringerBriefs in Computer Science PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Data, Information, and Time Hermann Kopetz This SpringerBrief presents the data- information-and-time (DIT) model that precisely clarifies the semantics behind the terms data, information and their relations to the passage of real time. According to the DIT model a data item is a symbol that appears as... Editeur : Springer Parution : 2022-03-17 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
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