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Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

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11-20 of 5367 results in All results

Computational Decision Intelligence under Uncertainty

  • 1st Edition
  • December 1, 2029
  • Ali Ahmadian + 4 more
  • English
Uncertainty, Computational Techniques, and Decision Intelligence explores basic concepts and focuses on methods of reasoning and decision making under uncertainty which are applied to problems in artificial intelligence (AI), including issues of knowledge acquisition and automated model construction, pattern recognition, machine learning, NLP, decision analysis, and decision support systems. Comprised of three sections, the book begins with a comprehensive introduction to causality in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphical models for inference and decision making, and qualitative reasoning. Subsequent chapters comprehensively explore a range of basic models of computational techniques and computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, evolutionary computation, decision making and analysis, and expert systems & robotics. The book provides readers with a deep dive into Uncertainty encountered in artificial intelligence and computational intelligence paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within the CI development framework, decision support systems, and visual decision design.

Succession Planning Through Mentoring in the Library

  • 1st Edition
  • November 15, 2029
  • Julie Leuzinger + 1 more
  • English
Succession Planning through Mentoring in the Library addresses the topic of mentoring within the library, providing an accounting of the benefit to libraries that use this tactic for planning and how it can cultivate more knowledge and confidence in employees. Case studies from four different types of libraries with formal succession planning programs in place will be included. The book makes an analysis of the contributed case studies from other libraries regarding the use of mentoring in their succession planning programs, and then provides recommendations, best practices, and suggestions for implementing a succession planning program that includes mentoring.

Artificial Intelligence in the Mining Industry

  • 1st Edition
  • November 1, 2029
  • Chongchong Qi + 3 more
  • English
Offering the ability to process large or complex datasets, artificial intelligence (AI) holds huge potential to reshape the whole mining industry. Artificial Intelligence in the Mining Industry serves as the first published textbook of AI in the mining engineering. This reference highlights fundamental knowledge and recent advances in this topic, offering readers new insight into how these tools can be used to enhance their own work. Artificial Intelligence in the Mining Industry begins with fundamentals in mining industry, covering the full stages of the mining process. The book moves on to foundational knowledge on AI in the mining industry, which provides a brief introduction of AI for mining applications. The reference then goes on to discuss AI approaches currently used to address problems in major mining stages, including prospecting/surveying, exploration, mine-site design/planning, development, production, closure/reclamation. Finally, potential future trends in the field are discussed.

Pattern Recognition

  • 5th Edition
  • September 1, 2029
  • Konstantinos Koutroumbas + 1 more
  • English
This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback.

User-Centered Interface Improvement in Libraries

  • 1st Edition
  • July 1, 2029
  • Ray Laura Henry
  • English
Libraries are optimally positioned to lead user-centered interface improvements, especially in the now-ubiquitous areas of search, discovery, and retrieval of information resources. This book delves more deeply into why that might be the case, as well as how to create those transformative changes. Modern libraries are concerned with improving the experiences our users have with the resources we provide. We operate in a technologically complex environment, however, where we are integrating many diverse resource providers that we have much less control of into our portfolio of services. How do libraries' competing interests, for example, those of standardization and interoperability versus those of personalization and context-awareness act to "intertwingle" across our user interfaces? Literacies Identity and Library Technologies examines historical and contemporary library technology practices through several overlapping lenses. Why library technologies, in particular? Precisely because they are located in a complex, interconnected ecosystem of services whose loci of control are elsewhere, and so where there is a continued struggle to make good on promises like seamless resource access. The initial adoptions, integrations, and ongoing refinements of these technologies exist in what can be described as an information society whose undergirding values are essentially opaque. Despite immersion in this vast sea of knowledge/information/data, many of us who swim in it have no clear sense of its origins or mechanisms. In particular, the core of information navigation for most has become web-scale search, and though it is treated as a utility in nearly the same way heat and light are, even those of us who may teach its use to others often aren't sure exactly how it works. Similarly, users of these systems are impacted by the values underlying their construction in ways that are hidden or invisible to them, so they may not even be able to shift their strategies to more effectively work in these systems.

Face Recognition and Analysis with Deep learning

  • 1st Edition
  • June 1, 2029
  • Dr. Ravindra S Hegadi + 1 more
  • English
Face recognition and face analysis are being used by various law-enforcement, retail, and e-commerce solution developers for different purposes. Additionally, it is a non-invasive information gathering technique with multiple applications across industries Face Recognition and Analysis with Deep Learning: Methods, Tools and Applications uses deep learning technology to detect faces in various environments, perform face recognition, and perform facial expression, age, gender, and geographical profile analysis. Giving in-depth information on every step of the process, it discusses solutions, performance analysis, and the various challenges in developing face recognition systems. It provides: •Different ways to prepare data and write data-pipelines. •Optimization techniques for the deployment of models •Use cases applications This book is a complete reference guide for undergraduate and post graduate students, researchers, software developers and engineers in industry looking to make use of face recognition and analysis technology using deep learning methods.

Intelligent Battery Management Systems for Electric Vehicle Applications

  • 1st Edition
  • May 1, 2029
  • Cheng Siong Chin + 1 more
  • English
The future success of electric vehicles relies nearly entirely on the design, modelling and simulation of the vehicle battery management systems. Intelligent Battery Management Systems for Electric Vehicle Applications describes the step-by-step methods for designing successful simulation models for battery management systems (BMS). With a strong emphasis on practical applications and model uncertainties, this title incorporates AI and ML techniques to improve BMS design.