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Books in Physical sciences and engineering

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    • Uncertainty in Computational Intelligence-Based Decision Making

      • 1st Edition
      • September 16, 2024
      • Ali Ahmadian + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 4 7 5 2
      • eBook
        9 7 8 0 4 4 3 2 1 4 7 6 9
      Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others.The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science.

    • Towards Neuromorphic Machine Intelligence

      • 1st Edition
      • June 5, 2024
      • Hong Qu + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 8 2 0 6
      • eBook
        9 7 8 0 4 4 3 3 2 8 2 1 3
      Towards Neuromorphic Machine Intelligence: Spike-Based Representation, Learning, and Applications provides readers with in-depth understanding of Spiking Neural Networks (SNNs), which is a burgeoning research branch of Artificial Neural Networks (ANNs), AI, and Machine Learning that sits at the heart of the integration between Computer Science and Neural Engineering. In recent years, neural networks have re-emerged in relation to AI, representing a well-grounded paradigm rooted in disciplines from physics and psychology to information science and engineering.This book represents one of the established cross-over areas where neurophysiology, cognition, and neural engineering coincide with the development of new Machine Learning and AI paradigms. There are many excellent theoretical achievements in neuron models, learning algorithms, network architecture, and so on. But these achievements are numerous and scattered, with a lack of straightforward systematic integration, making it difficult for researchers to assimilate and apply. As the third generation of Artificial Neural Networks (ANNs), Spiking Neural Networks (SNNs) simulate the neuron dynamics and information transmission in a biological neural system in more detail, which is a cross-product of computer science and neuroscience. The primary target audience of this book is divided into two categories: artificial intelligence researchers who know nothing about SNNs, and researchers who know a lot about SNNs. The former needs to acquire fundamental knowledge of SNNs, but the challenge is that much of the existing literature on SNNs only slightly mentions the basic knowledge of SNNs, or is too superficial, and this book gives a systematic explanation from scratch. The latter needs learning about some novel research achievements in the field of SNNs, and this book introduces the latest research results on different aspects of SNNs and provides detailed simulation processes to facilitate readers' replication. In addition, the book introduces neuromorphic hardware architecture as a further extension of the SNN system.The book starts with the birth and development of SNNs, and then introduces the main research hotspots, including spiking neuron models, learning algorithms, network architectures, and neuromorphic hardware. Therefore, the book provides readers with easy access to both the foundational concepts and recent research findings in SNNs.

    • Sensors, Circuits, and Systems for Scientific Instruments

      • 1st Edition
      • December 5, 2024
      • Soumyajit Mandal
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 0 6 6 4
      • eBook
        9 7 8 0 3 2 3 9 5 0 6 7 1
      Sensors, Circuits, and Systems for Scientific Instruments: Fundamentals and Front-Ends presents a unified treatment of modern measurement systems by integrating relevant knowledge in sensors, circuits, signal processing, and machine learning. It also presents detailed case studies of several real-life measurement systems to illustrate how theoretical analysis and high-level designs are translated into working scientific instruments.The book is meant for upper-level undergraduate and beginning graduate students in electrical and computer engineering, applied physics, and biomedical engineering. It is designed to fill a gap in the market between books focused on specific components of measurement systems (semiconductor devices, analog circuits, digital signal processing, etc.) and books that provide a high-level "survey" or "handbook"-type overview of a wide range of sensors and measurement systems.

    • Digital Twin Technology for the Energy Sector

      • 1st Edition
      • November 13, 2024
      • Mohammadreza Aghaei + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 4 0 7 0 9
      • eBook
        9 7 8 0 4 4 3 1 4 0 7 1 6
      Digital Twin Technology for the Energy Sector: Fundamental, Advances, Challenges, and Applications introduces the energy sector to this innovative technology and its potential for supporting energy transition. The book outlines the fundamentals of digital twin technology (DTT), giving readers a thorough grounding in its theory and use. Additional chapters provide practical, real-world options for applying the technology in a variety of energy sectors, from wind, solar, and hydropower, to the electrical industry and mobility. Its potential uses for energy flexibility, managing supply and demand in electric grids, and energy modeling in real time are also given significant attention.Including insights from a wide range of expert researchers and industry professionals, this book will guide readers from their first steps in DTT to developing innovative applications for the energy sector of the future.

    • Recycling and Deinking of Recovered Paper

      • 2nd Edition
      • June 26, 2024
      • Pratima Bajpai
      • English
      • Hardback
        9 7 8 0 4 4 3 2 3 8 0 4 8
      • eBook
        9 7 8 0 4 4 3 2 3 8 0 5 5
      Recycling and Deinking of Recovered Paper, Second Edition covers recent advances in recycling technologies. This second edition examines this new process, which is more eco-friendly than the virgin-papermaking process, and which uses less energy and natural resources, produces less solid waste and fewer atmospheric emissions, and helps to preserve natural resources and landfill space. In addition, the most recent information about the recycling of fibers into various grades of paper and board, the control of stickies, and the effects of recycled fiber on paper machines are also covered.Recycling technologies have been improved in recent years due to advances in pulping, flotation deinking, and cleaning/screening, resulting in the quality of paper made from secondary fibers remarkably approaching that of virgin paper.

    • Statistical Analysis for Civil Engineers

      • 1st Edition
      • September 2, 2024
      • Hussam K. Risan + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 3 6 2 9
      • eBook
        9 7 8 0 4 4 3 2 7 3 6 3 6
      Statistical Analysis for Civil Engineers: Mathematical Theory and Applied Experiment Design is a well-researched and topically organized reference book that guides its readers, both in academia and industry, to recognize how to describe unpredictable events in a quantitative way and to learn how these events can be incorporated into practical engineering analysis that facilitates data-driven problem solving and optimization-based decision-making.Writ... by experts in the field with a proven track record as educators and practicing consultancy specialists, this book has been developed in such a manner that it advances understanding of the mathematical theory underlying analytical methodology gradually. It also supports practical application through relevant worked examples in a variety of civil engineering branches, notably structural, materials, transportation, and geotechnical engineering. Through all stages of data analysis, numerical modeling and simulation, and implementation, the volume emphasizes the need to change the current perception with respect to the use of modern statistical techniques in the scientific as well as practical spheres of civil engineering.

    • Fractography in Failure Analysis of Polymers

      • 2nd Edition
      • January 11, 2024
      • Michael D. Hayes + 2 more
      • English
      • Hardback
        9 7 8 0 4 4 3 2 9 1 4 9 4
      • Paperback
        9 7 8 0 4 4 3 1 9 0 0 3 2
      • eBook
        9 7 8 0 4 4 3 1 9 0 0 4 9
      Fractography in Failure Analysis of Polymers, Second Edition provides a practical guide to the science of fractography and its application in the failure analysis of plastic components. In addition to a brief background on the theory of fractography, the book's authors discuss the various fractographic tools and techniques used to identify key fracture characteristics. This second edition includes additional material related to polymer life prediction testing and analysis. Case studies have been expanded, including a wide range of polymer types, new technologies, applications, and failure modes, as well as best practice guidelines, thus enabling engineers to apply these lessons to their work.Detailed images and their appropriate context are presented for reference in failure investigations. This text is vital for engineers who must determine the root causes of failure when it occurs, helping them further study the ramifications of product liability claims, environmental concerns, and brand image. This is also a valuable resource for all plastics professionals, including manufacturers, product designers, and consultants, forensic investigators, as well as educators in materials science.

    • Renewable Energy Integration in Utility Grids

      • 1st Edition
      • September 23, 2024
      • Om Prakash Mahela + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 9 0 2 1 6
      • eBook
        9 7 8 0 4 4 3 1 9 0 2 2 3
      Renewable Energy Integration in Utility Grids: Advances in Power Quality, Protection, Stability, and Flexibility reviews current challenges and technologically driven solutions to mitigate the significant issues associated with increasing renewable resource penetration in utility grid networks. It provides a detailed framework to address significant challenges for high renewable energy integration into the utility grid networks, using intelligent techniques and advanced power electronics technology. Chapters address current advances in the grid integration of wind technology, solar PV systems, solar thermal plants, reactive power management, grid stability, variability, power quality, power system protection, generation-side flexibility, demand-side flexibility, smart monitoring and communication, and regulatory frameworks.

    • Design of Deep Braced Excavation in Urban Geotechnical Environments

      • 1st Edition
      • May 21, 2024
      • Wengang Zhang + 5 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 8 8 2 9
      • eBook
        9 7 8 0 4 4 3 1 3 8 8 3 6
      Design of Deep Braced Excavation in Urban Geotechnical Environments presents the design and calculation of deep braced excavation in urban geotechnical environments, considering the soil characteristics of spatial variability and anisotropy, as well as excavation responses of urban adjacent utilities such as pipelines, tunnels, foundation piles, and buildings. The text begins with coverage of overall stability, earth pressure and strut force, retaining wall responses, and ground movements. Numerical modeling and computer codes are also outlined in detail. Final chapters conclude with an examination of the determination of excavation responses of urban adjacent utilities and failure analysis based on several case histories.This book will be ideal for those that need the latest knowledge in both theory and practical application for deep excavation problems.

    • Machine Learning for Small Bodies in the Solar System

      • 1st Edition
      • October 29, 2024
      • Valerio Carruba + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 4 7 7 0 5
      • eBook
        9 7 8 0 4 4 3 2 4 7 7 1 2
      Machine Learning for Small Bodies in the Solar System provides the latest developments and methods in applications of Machine Learning (ML) and Artificial Intelligence (AI) to different aspects of Solar System bodies, including dynamics, physical properties, and detection algorithms. Offering a practical approach, the book encompasses a wide range of topics, providing both readers with essential tools and insights for use in researching asteroids, comets, moons, and Trans-Neptunian objects. The inclusion of codes and links to publicly available repositories further facilitates hands-on learning, enabling readers to put their newfound knowledge into practice. Machine Learning for Small Bodies in the Solar System serves as an invaluable reference for researchers working in the broad fields of Solar System bodies; both seasoned researchers seeking to enhance their understanding of ML and AI in the context of Solar System exploration or those just stepping into the field looking for direction on methodologies and techniques to apply ML and AI in their work.

Related subjects

Astronomy astrophysics space science

Built environment

Chemical engineering

Chemistry

Computer science

Earth and planetary sciences

Energy and power

Engineering and technology

Environmental sciences

Materials science

Mathematics

Physics