Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. Meer
Practical Numerical and Scientific Computing with MATLAB® and Python concentrates on the practical aspects of numerical analysis and linear and non-linear programming. Meer
New computational design tools have evolved rapidly and been increasingly applied in the field of design in recent years, complimenting and even replacing the traditional design media and approaches. Meer
Data storage, processing, and management at remote location over dynamic networks is the most challenging task in cloud networks. Users’ expectations are very high for data accuracy, reliability, accessibility, and availability in pervasive cloud environment. Meer
Image Processing for Automated Diagnosis of Cardiac Diseases highlights current and emerging technologies for the automated diagnosis of cardiac diseases. Meer
Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. Meer
From a review of the first edition:
‘This book is a veritable tour de force. Harel writes with uncommon verve, clarity and imagination.'
‘Through the use of tantalizing questions and aptly chosen and often amusing examples, the author transmits to the reader the excitement and intellectual satisfaction of computer science research. Meer
Experience has shown us that investment in the requirements process saves time, money, and effort. Yet, development efforts consistently charge ahead without investing sufficiently in the requirements process. Meer
"TLA+ represents the only effective methodology I've seen for visualizing and quantifying algorithmic complexity in a way that is meaningful to engineers. Meer
Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Meer
Blockchain technologies, as an emerging distributed architecture and computing paradigm, have accelerated the development/application of the Cloud/GPU/Edge Computing, Artificial Intelligence, cyber physical systems, social networking, crowdsourcing and crowdsensing, 5G, trust management, and finance. Meer
The aim of this student text is to provide support for practical programming in concurrency, using the OCCAM 2 computer language. Although readers do not require previous experience of writing parallel computer programs, a general knowledge of programming techniques is assumed. Meer
Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. Meer
Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep learning, including neural networks. Meer
Database Solutions: A step-by-step guide to building databases 2/e
Are you responsible for designing and creating the databases that keep your business running? Meer
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