Federated Learning

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Publisher : Springer Nature
ISBN 13 : 3030630765
Total Pages : 291 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Federated Learning by : Qiang Yang

Download or read book Federated Learning written by Qiang Yang and published by Springer Nature. This book was released on 2020-11-25 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”

Technological Innovation for Applied AI Systems

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Publisher : Springer Nature
ISBN 13 : 3030782883
Total Pages : 360 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Technological Innovation for Applied AI Systems by : Luis M. Camarinha-Matos

Download or read book Technological Innovation for Applied AI Systems written by Luis M. Camarinha-Matos and published by Springer Nature. This book was released on 2021-06-30 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, held in Costa de Caparica, Portugal, in July 2021.* The 34 papers presented were carefully reviewed and selected from 92 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for industry and service systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative networks; smart manufacturing; cyber-physical systems and digital twins; intelligent decision making; smart energy management; communications and electronics; classification systems; smart healthcare systems; and medical devices. *The conference was held virtually. Chapters “Characteristics of Adaptable Control of Production Systems and the Role of Self-organization Towards Smart Manufacturing” and “Predictive Manufacturing: Enabling Technologies, Frameworks and Applications” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Educability and Group Differences

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Publisher : Routledge
ISBN 13 : 0415678560
Total Pages : 419 pages
Book Rating : 4.4/5 (156 download)

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Book Synopsis Educability and Group Differences by : Arthur Robert Jensen

Download or read book Educability and Group Differences written by Arthur Robert Jensen and published by Routledge. This book was released on 2012 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jensen is a controversial figure, largely for his conclusions based on his and other research regarding the causes of race based differences in intelligence and in this book he develops more fully the argument he formulated in his controversial Harvard Education Review article 'How Much Can We Boost IQ and Scholastic Achievement?'. In a wide-ranging survey of the evidence he argues that measured IQ reveals a strong hereditary component and he argues that the system of education which assumes an almost wholly environmentalist view of the causes of group differences capitalizes on a relatively narrow category of human abilities. Since its original publication the controversy surrounding Jensen's ideas has continued as successive generations of psychologists, scientists and policy-makers have grappled with the same issues.

Computer Vision – ECCV 2018

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Publisher : Springer
ISBN 13 : 3030012700
Total Pages : 899 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Computer Vision – ECCV 2018 by : Vittorio Ferrari

Download or read book Computer Vision – ECCV 2018 written by Vittorio Ferrari and published by Springer. This book was released on 2018-10-06 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.

Pathological Brain Detection

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Publisher : Springer
ISBN 13 : 9811040265
Total Pages : 237 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Pathological Brain Detection by : Shui-Hua Wang

Download or read book Pathological Brain Detection written by Shui-Hua Wang and published by Springer. This book was released on 2018-07-20 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images. Matlab codes are provided for most of the functions described. In addition, the book equips readers to easily develop the pathological brain detection system further on their own and apply the technologies to other research fields, such as Alzheimer’s detection, multiple sclerosis detection, etc.

Social Sensing

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Publisher : Morgan Kaufmann
ISBN 13 : 0128011319
Total Pages : 232 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Social Sensing by : Dong Wang

Download or read book Social Sensing written by Dong Wang and published by Morgan Kaufmann. This book was released on 2015-04-17 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliability Presents novel theoretical foundations for assured social sensing and modeling humans as sensors Includes case studies and application examples based on real data sets Supplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book

Explainable and Interpretable Models in Computer Vision and Machine Learning

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Publisher : Springer
ISBN 13 : 3319981315
Total Pages : 305 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Explainable and Interpretable Models in Computer Vision and Machine Learning by : Hugo Jair Escalante

Download or read book Explainable and Interpretable Models in Computer Vision and Machine Learning written by Hugo Jair Escalante and published by Springer. This book was released on 2018-11-29 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning · Explanation Methods in Deep Learning · Learning Functional Causal Models with Generative Neural Networks · Learning Interpreatable Rules for Multi-Label Classification · Structuring Neural Networks for More Explainable Predictions · Generating Post Hoc Rationales of Deep Visual Classification Decisions · Ensembling Visual Explanations · Explainable Deep Driving by Visualizing Causal Attention · Interdisciplinary Perspective on Algorithmic Job Candidate Search · Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations

Moving Target Defense

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Publisher : Springer Science & Business Media
ISBN 13 : 1461409772
Total Pages : 196 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Moving Target Defense by : Sushil Jajodia

Download or read book Moving Target Defense written by Sushil Jajodia and published by Springer Science & Business Media. This book was released on 2011-08-26 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Moving Target Defense: Creating Asymmetric Uncertainty for Cyber Threats was developed by a group of leading researchers. It describes the fundamental challenges facing the research community and identifies new promising solution paths. Moving Target Defense which is motivated by the asymmetric costs borne by cyber defenders takes an advantage afforded to attackers and reverses it to advantage defenders. Moving Target Defense is enabled by technical trends in recent years, including virtualization and workload migration on commodity systems, widespread and redundant network connectivity, instruction set and address space layout randomization, just-in-time compilers, among other techniques. However, many challenging research problems remain to be solved, such as the security of virtualization infrastructures, secure and resilient techniques to move systems within a virtualized environment, automatic diversification techniques, automated ways to dynamically change and manage the configurations of systems and networks, quantification of security improvement, potential degradation and more. Moving Target Defense: Creating Asymmetric Uncertainty for Cyber Threats is designed for advanced -level students and researchers focused on computer science, and as a secondary text book or reference. Professionals working in this field will also find this book valuable.

Soil Conservation Service Curve Number (SCS-CN) Methodology

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Publisher : Springer Science & Business Media
ISBN 13 : 9401701474
Total Pages : 535 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Soil Conservation Service Curve Number (SCS-CN) Methodology by : S.K. Mishra

Download or read book Soil Conservation Service Curve Number (SCS-CN) Methodology written by S.K. Mishra and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Soil Conservation Service (SCS) curve number (CN) method is one of the most popular methods for computing the runoff volume from a rainstorm. It is popular because it is simple, easy to understand and apply, and stable, and accounts for most of the runoff producing watershed characteristics, such as soil type, land use, hydrologic condition, and antecedent moisture condition. The SCS-CN method was originally developed for its use on small agricultural watersheds and has since been extended and applied to rural, forest and urban watersheds. Since the inception of the method, it has been applied to a wide range of environments. In recent years, the method has received much attention in the hydrologic literature. The SCS-CN method was first published in 1956 in Section-4 of the National Engineering Handbook of Soil Conservation Service (now called the Natural Resources Conservation Service), U. S. Department of Agriculture. The publication has since been revised several times. However, the contents of the methodology have been nonetheless more or less the same. Being an agency methodology, the method has not passed through the process of a peer review and is, in general, accepted in the form it exists. Despite several limitations of the method and even questionable credibility at times, it has been in continuous use for the simple reason that it works fairly well at the field level.

Distributed Computing and Artificial Intelligence, 17th International Conference

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Publisher : Springer Nature
ISBN 13 : 3030530361
Total Pages : 350 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Distributed Computing and Artificial Intelligence, 17th International Conference by : Yucheng Dong

Download or read book Distributed Computing and Artificial Intelligence, 17th International Conference written by Yucheng Dong and published by Springer Nature. This book was released on 2020-08-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. DCAI 2020 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. This year’s technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 83 papers were submitted to main track and special sessions, by authors from 26 different countries representing a truly “wide area network” of research activity. The DCAI’20 technical program has selected 35 papers and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the University of L'Aquila (Italy). We would like to thank all the contributing authors, the members of the Program Committee and the sponsors (IBM, Armundia Group, EurAI, AEPIA, APPIA, CINI, OIT, UGR, HU, SCU, USAL, AIR Institute and UNIVAQ).

Proceedings of International Conference on Frontiers in Computing and Systems

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Publisher : Springer Nature
ISBN 13 : 9811578346
Total Pages : 895 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Proceedings of International Conference on Frontiers in Computing and Systems by : Debotosh Bhattacharjee

Download or read book Proceedings of International Conference on Frontiers in Computing and Systems written by Debotosh Bhattacharjee and published by Springer Nature. This book was released on 2020-11-23 with total page 895 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers outstanding research papers presented at the International Conference on Frontiers in Computing and Systems (COMSYS 2020), held on January 13–15, 2019 at Jalpaiguri Government Engineering College, West Bengal, India and jointly organized by the Department of Computer Science & Engineering and Department of Electronics & Communication Engineering. The book presents the latest research and results in various fields of machine learning, computational intelligence, VLSI, networks and systems, computational biology, and security, making it a rich source of reference material for academia and industry alike.

Data and Applications Security and Privacy XXXV

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Publisher : Springer Nature
ISBN 13 : 3030812421
Total Pages : 408 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Data and Applications Security and Privacy XXXV by : Ken Barker

Download or read book Data and Applications Security and Privacy XXXV written by Ken Barker and published by Springer Nature. This book was released on 2021-07-14 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 35th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2021, held in Calgary, Canada, in July 2021.* The 15 full papers and 8 short papers presented were carefully reviewed and selected from 45 submissions. The papers present high-quality original research from academia, industry, and government on theoretical and practical aspects of information security. They are organized in topical sections named differential privacy, cryptology, machine learning, access control and others. *The conference was held virtually due to the COVID-19 pandemic.

Numerical Computing with MATLAB

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Publisher : SIAM
ISBN 13 : 0898716608
Total Pages : 340 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Numerical Computing with MATLAB by : Cleve B. Moler

Download or read book Numerical Computing with MATLAB written by Cleve B. Moler and published by SIAM. This book was released on 2010-08-12 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: A revised textbook for introductory courses in numerical methods, MATLAB and technical computing, which emphasises the use of mathematical software.

Robotics, Machinery and Engineering Technology for Precision Agriculture

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Publisher : Springer Nature
ISBN 13 : 9811638446
Total Pages : 670 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Robotics, Machinery and Engineering Technology for Precision Agriculture by : Mark Shamtsyan

Download or read book Robotics, Machinery and Engineering Technology for Precision Agriculture written by Mark Shamtsyan and published by Springer Nature. This book was released on 2021-10-04 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of papers presented at XIV International Scientific Conference “INTERAGROMASH 2021”, held at Don State Technical University, Rostov-on-Don, Russia, during 24–26 February 2021. The research results presented in this book cover applications of unmanned aerial systems, satellite-based applications for precision agriculture, proximal and remote sensing of soil and crop, spatial analysis, variable-rate technology, embedded sensing systems, drainage optimization and variable rate irrigation, wireless sensor networks, Internet of things, robotics, guidance and automation, software and mobile apps for precision agriculture, decision support for precision agriculture and data mining for precision agriculture.

Imaging of Head and Neck Cancer

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Publisher : Cambridge University Press
ISBN 13 : 9781841100906
Total Pages : 240 pages
Book Rating : 4.1/5 (9 download)

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Book Synopsis Imaging of Head and Neck Cancer by : A. T. Ahuja

Download or read book Imaging of Head and Neck Cancer written by A. T. Ahuja and published by Cambridge University Press. This book was released on 2003-01-06 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise integrated handbook looks at all available imaging methods for head and neck cancer, highlighting the strengths and weaknesses of each method. The information is provided in a clinical context and will guide radiologists as to the information the clinician actually needs when managing a patient with head and neck cancer. It will also provide the clinician with the advantages and limitations of imaging. The text therefore deals with Ultrasound, CT and MRI. The initial chapters aim to give the reader a core knowledge, which can be used in imaging by the various methods described. The subsequent chapters are directed towards clinical problems and deal with the common cancers in a logical order.

Practical Imaging Informatics

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Publisher : Springer Science & Business Media
ISBN 13 : 1441904859
Total Pages : 450 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Practical Imaging Informatics by : Society for Imaging

Download or read book Practical Imaging Informatics written by Society for Imaging and published by Springer Science & Business Media. This book was released on 2009-10-03 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Attention SIIM Members: a special discount is available to you; please log in to the SIIM website at www.siim.org/pii or call the SIIM office at 703-723-0432 for information on how you can receive the SIIM member price. Imaging Informatics Professionals (IIPs) have come to play an indispensable role in modern medicine, and the scope of this profession has grown far beyond the boundaries of the PACS. A successful IIP must not only understand the PACS itself, but also have knowledge of clinical workflow, a base in several medical specialties, and a solid IT capability regarding software interactions and networking. With the introduction of a certification test for the IIP position, a single source was needed to explain the fundamentals of imaging informatics and to demonstrate how those fundamentals are applied in everyday practice. Practical Imaging Informatics describes the foundations of information technology and clinical image management, details typical daily operations, and discusses rarer complications and issues.

Deep Learning and Parallel Computing Environment for Bioengineering Systems

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Publisher : Academic Press
ISBN 13 : 0128172932
Total Pages : 282 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Deep Learning and Parallel Computing Environment for Bioengineering Systems by : Arun Kumar Sangaiah

Download or read book Deep Learning and Parallel Computing Environment for Bioengineering Systems written by Arun Kumar Sangaiah and published by Academic Press. This book was released on 2019-07-26 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations' needs as well as practitioners' innovative ideas. - Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems - Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems - Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data