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Books in Physical sciences and engineering

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    • Weathering

      • 1st Edition
      • January 23, 2025
      • George Wypych
      • English
      • Paperback
        9 7 8 1 7 7 4 6 7 0 6 4 4
      • eBook
        9 7 8 1 7 7 4 6 7 0 6 5 1
      Weathering: The Testing Manual provides guidelines and procedures for conducting weathering tests on various materials and products to simulate the effects of exposure. The methods of weathering discussed are based on requirements of ASTM, ISO, BS, Ford, GM, IEC, IEEE, MIL, PV, SAE, UL, and VDA standards. The book details the methods used, their differences, parameter settings, and hardware that is commercially available for performing the tests. Also included is information on sample preparation, evaluation methods, frequency of data collection, data analysis and interpretation, and reporting.This book is an excellent companion piece to the Handbook of Weathering, Seventh Edition, as well as The Encyclopedia of Polymer Degradation, with the former serving as a monographic source of knowledge on various aspects of weathering, and the latter outlining the limitations and challenges of presently conducted weathering studies to formulate needs and directions for transition from present comparative evaluation to knowledge-based utilization of existing resources. These three books together are powerful tools for chemists, chemical engineers, materials scientists, environmental chemists, legislators, teachers, and students.

    • Handbook of Material Weathering

      • 7th Edition
      • January 23, 2025
      • George Wypych
      • English
      • Hardback
        9 7 8 1 7 7 4 6 7 0 5 8 3
      • eBook
        9 7 8 1 7 7 4 6 7 0 5 9 0
      Handbook of Material Weathering, Seventh Edition is an essential guide on the effects of weathering on polymers and industrial products, presenting theory, stress factors, methods of weathering and testing, and the effects of additives and environmental stress cracking. The book provides graphical illustrations and numerical data to examine the weathering of major polymers and industrial products, including mechanisms of degradation, effect of thermal processes, and characteristic changes in properties. Final sections discuss recycling, corrosion, weathering, and the weathering of stone.This book is an important reference source for those involved in studying material durability, producing materials for outdoor use and actinic exposure, research chemists in the photochemistry field, chemists and material scientists designing new materials, users of manufactured products, those who control the quality of manufactured products, and students who want to apply their knowledge to real materials.

    • PVC Formulary

      • 4th Edition
      • January 23, 2025
      • George Wypych
      • English
      • Hardback
        9 7 8 1 7 7 4 6 7 0 6 2 0
      • eBook
        9 7 8 1 7 7 4 6 7 0 6 3 7
      PVC Formulary, Fourth Edition provides PVC manufacturers, processers, and users with key information on product development, formulation, additives, and properties. The book contains a trove of data and formulations that aids in the successful development of PVC products and evaluation of formulas that others use. Commercial types and grades, polymer forms, and physical-chemical properties of PVC are discussed in detail, with all essential information required for the decision-making process clearly presented. The book contains over 600 formulations of products belonging to 23 categories that are derived from characteristic methods of production.A broad selection of formulations is used in each category to determine the essential components of formulations used in a particular method of processing, the most important parameters of successful products, troubleshooting information, and suggestions of further sources of information on the method of processing.

    • Thermochemical Conversion of Lignocellulosic Materials

      • 1st Edition
      • January 22, 2025
      • Manuel Garcia-Perez + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 5 5 1 5
      • eBook
        9 7 8 0 3 2 3 9 5 5 5 2 2
      Thermochemical Conversion of Lignocellulosic Materials: Theory, Design, and Applications for the Future proposes a generalized methodology for the design and study of thermochemical conversion reactors independent of the feedstock used and the technology analyzed. Sections cover essential theory, including biomass thermochemical conversion, biomass supply chains, and thermochemical reactors. The book then examines other important aspects of the thermochemical conversion reaction, presenting modeling and analysis options. Finally, it investigates potential uses and applications for these techniques. Including clear objectives and practical exercises to cement understanding, this book will equip students and researchers with the skills to design and model selective reactors.

    • Pervious Concrete Pavements

      • 1st Edition
      • January 22, 2025
      • Hilal El-Hassan + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 7 0 4 3
      • eBook
        9 7 8 0 4 4 3 2 1 7 0 5 0
      Pervious Concrete Pavements: Design, Performance, and Applications provides both a comprehensive theoretical background and practical experiences on the performance of pervious concrete. The book explores the effects of various materials and process parameters on the mechanical, durability, and hydraulic properties of pervious concrete while also examining their hydrological design and water quality. The ability to upscale the use of pervious concrete in construction applications is investigated through field evaluation, lifecycle assessment, and performance prediction using artificial intelligence. The volume presents the latest findings in pervious concrete research, filling a gap in previous relevant publications.

    • Artificial Intelligence in Future Mining

      • 1st Edition
      • January 22, 2025
      • Amir Razmjou + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 8 9 1 1 8
      • eBook
        9 7 8 0 4 4 3 2 8 9 1 2 5
      Artificial Intelligence in Future Mining explores the latest developments in the use of artificial intelligence (AI) in mining and how it will impact the industry’s future. The application of data science and artificial intelligence in future mining involves using advanced technologies to optimize operations, improve decision-making, and enhance safety and sustainability in the industry. After a brief history of AI in mining, the book's editors look closely at different AI techniques used. Chapters explore ocean mining, brine mining, and urban mining. With an eye towards sustainability, the editors then review the future of wastewater mining and green mining.The book wraps up with chapters on safety and risk, resource planning, and a larger discussion of the opportunities and challenges of mining with AI in the future. This book is a must-have for researchers and professionals who find themselves at the intersection of mining, engineering, and data science.

    • Smart Traction Power Supply Systems for High-speed Railways

      • 1st Edition
      • January 22, 2025
      • Shibin Gao + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 3 2 3 1
      • eBook
        9 7 8 0 4 4 3 3 3 3 2 4 8
      Given the increasingly busy railway networks, increased axle loads, and railway speeds,modern railways and urban transport systems require smart and energy-efficient tractionpower supply products and solutions to ensure safe, reliable, and environmentallysusta... operations. Based on the latest development and achievements of China’straction power supply system, Smart Traction Power Supply Systems for High-speedRailways focuses on the latest research into smart traction power supply systems. Startingfrom the concept of smart technologies, it describes the structure and functions of smarttraction power supply systems, including smart power supply and transformation facilities,smart power supply operation and maintenance management systems, smart power supplydispatching systems, and high-speed communication networks. This book covers boththeory and the implementation, methods, and case studies of wide area protection, selfhealingreconstru... fault prognosis, health assessment, and power supply dispatching.

    • Professional Penetration Testing

      • 3rd Edition
      • January 21, 2025
      • Thomas Wilhelm
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 4 7 8 8
      • eBook
        9 7 8 0 4 4 3 2 6 4 7 9 5
      Professional Penetration Testing: Creating and Learning in a Hacking Lab, Third Edition walks the reader through the entire process of setting up and running a pen test lab. Penetration testing—the act of testing a computer network to find security vulnerabilities before they are maliciously exploited—is a crucial component of information security in any organization. Chapters cover planning, metrics, and methodologies, the details of running a pen test, including identifying and verifying vulnerabilities, and archiving, reporting and management practices. The material presented will be useful to beginners through advanced practitioners.Here, author Thomas Wilhelm has delivered penetration testing training to countless security professionals, and now through the pages of this book, the reader can benefit from his years of experience as a professional penetration tester and educator. After reading this book, the reader will be able to create a personal penetration test lab that can deal with real-world vulnerability scenarios. "...this is a detailed and thorough examination of both the technicalities and the business of pen-testing, and an excellent starting point for anyone getting into the field." –Network Security

    • Probability for Deep Learning Quantum

      • 1st Edition
      • January 21, 2025
      • Charles R. Giardina
      • English
      • Paperback
        9 7 8 0 4 4 3 2 4 8 3 4 4
      • eBook
        9 7 8 0 4 4 3 2 4 8 3 5 1
      Probability for Deep Learning Quantum provides readers with the first book to address probabilistic methods in the deep learning environment and the quantum technological area simultaneously, by using a common platform: the Many-Sorted Algebra (MSA) view. While machine learning is created with a foundation of probability, probability is at the heart of quantum physics as well. It is the cornerstone in quantum applications. These applications include quantum measuring, quantum information theory, quantum communication theory, quantum sensing, quantum signal processing, quantum computing, quantum cryptography, and quantum machine learning. Although some of the probabilistic methods differ in machine learning disciplines from those in the quantum technologies, many techniques are very similar.Probability is introduced in the text rigorously, in Komogorov’s vision. It is however, slightly modified by developing the theory in a Many-Sorted Algebra setting. This algebraic construct is also used in showing the shared structures underlying much of both machine learning and quantum theory. Both deep learning and quantum technologies have several probabilistic and stochastic methods in common. These methods are described and illustrated using numerous examples within the text. Concepts in entropy are provided from a Shannon as well as a von-Neumann view. Singular value decomposition is applied in machine learning as a basic tool and presented in the Schmidt decomposition. Besides the in-common methods, Born’s rule as well as positive operator valued measures are described and illustrated, along with quasi-probabilities. Author Charles R. Giardina provides clear and concise explanations, accompanied by insightful and thought-provoking visualizations, to deepen your understanding and enable you to apply the concepts to real-world scenarios.

    • Computational Intelligence for Genomics Data

      • 1st Edition
      • January 21, 2025
      • Babita Pandey + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 0 8 0 6
      • eBook
        9 7 8 0 4 4 3 3 0 0 8 1 3
      Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers.

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