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Books in Physical sciences and engineering

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91-100 of 25165 results in All results

Microalgal Biofuels

  • 1st Edition
  • January 1, 2025
  • Krishna Kumar Jaiswal + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 1 1 0 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 1 1 1 - 6
Microalgal Biofuels: Sustainable Production and Conversion is a comprehensive guide to the latest advancements in microalgal biofuels. The book provides systematic coverage of the processes of biofuel production, from microalgae biomass resources to biomass conversion processes and catalytic materials. It delves into the critical topic of sustainability, addressing LCA approaches to evaluate the environmental impacts of microalgal-based biofuels. It provides practical information and guidance on the latest strategies, opportunities, and challenges in the transition to sustainable bioenergy. This is an invaluable reference for students, researchers, and industrial practitioners working on biofuels, biotechnology, bioprocess engineering, and biomass conversion.Divided into four sections, the first section introduces the principles of microalgal biology and cultivation, including an overview of the different types of microalgae, their growth requirements, and the cultivation systems used for large-scale production. The second section explains the conversion of microalgal biomass into biofuels, including biodiesel, bioethanol, biogas, and hydrogen. Each chapter in this section covers a different biofuel pathway, highlighting the technological advancements, challenges, and opportunities for scaling up production. The third section of the book explores the sustainability aspects of microalgal biofuel production, including the use of waste streams and the integration of biofuel production with other industries. This section also covers the LCA approaches used to evaluate the environmental impacts of microalgal biofuels and the strategies for enhancing their sustainability. The fourth and final section of the book examines the commercialization and prospects of microalgal biofuels. This section covers the market potential of microalgal biofuels, the regulatory landscape, and the challenges and opportunities for the industry.

Machine Learning for Small Bodies in the Solar System

  • 1st Edition
  • January 1, 2025
  • 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.

Advanced Sensors for Smart Healthcare

  • 1st Edition
  • January 1, 2025
  • Tuan Anh Nguyen
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 7 9 0 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 7 9 1 - 0
Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insight and access. Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency. Advanced Sensors for Smart Healthcare shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor their well-being and make informed decisions about their treatment. Written by experts in the field, Advanced Sensors for Smart Healthcare, sits alongside companion volume, Sensor Networks for Smart Hospitals, and is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients.

Probability for Deep Learning Quantum

  • 1st Edition
  • January 1, 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.

Professional Penetration Testing

  • 3rd Edition
  • January 1, 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

Algae Classification and Species

  • 1st Edition
  • January 1, 2025
  • Pau Loke Show + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 6 5 0 2 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 6 5 0 3 - 7
Algae Classification and Species delivers a detailed overview of freshwater and marine algal diversity. It provides an essential introduction to the study of phycology with broad applications in diverse biological and biotechnological fields. Written and edited by a global team of experts in the field of phycology, this book is organized according to major algal taxa, including green, red, and brown macroalgae, benthic and planktonic algae, blue-green algae, diatoms, cyanobacteria, and microalgae. Chapters are structured to provide readers with a sweeping understanding of the breadth of marine algae, including their principal characteristics, evolution, phylogeny, distribution, preservation, and more.This book is designed to provide a complete, legible review of algal diversity. It is a valuable resource for researchers, biotechnologists, and students interested in developing their understanding of basic algal biology.

Energy From Plasma

  • 1st Edition
  • January 1, 2025
  • Ghulam Yasin + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 6 5 8 4 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 6 5 8 5 - 3
Energy from Plasma: Production and Storage presents fundamental plasma as a pathway for energy generation and storage. The book covers emerging plasma applications for storing applications and introduces promises and challenges in the use of plasma to energy. Broken into five parts, this book starts with fundamentals before discussion plasma for fuel production. Part three addresses plasma for energy efficiency and environmental protection, and part four explores fusion plasma. Finally, part five discusses plasma for energy conversion and storage. Written for academic researchers and professional engineers/scientists working in the field of plasma technology, energy, environmental science, and materials science, Energy from Plasma: Production and Storage is sure to be a welcomed resource.

Mathematical Modeling for Big Data Analytics

  • 1st Edition
  • January 1, 2025
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 6 7 3 5 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 6 7 3 6 - 9
Mathematical Modelling for Big Data Analytics is a comprehensive guidebook that explores the use of mathematical models and algorithms for analyzing large and complex datasets. The book covers a range of topics, including statistical modeling, machine learning, optimization techniques, and data visualization, and provides practical examples and case studies to demonstrate their applications in real-world scenarios. Users will find a clear and accessible resource to enhance their skills in mathematical modeling and data analysis for big data analytics. Real-world examples and case studies demonstrate how to approach and solve complex data analysis problems using mathematical modeling techniques.This book will help readers understand how to translate mathematical models and algorithms into practical solutions for real-world problems. Coverage of the theoretical foundations of big data analytics, including qualitative and quantitative analytics techniques, digital twins, machine learning, deep learning, optimization, and visualization techniques make this a must have resource.

Engineering Energy Storage

  • 2nd Edition
  • January 1, 2025
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 6 7 3 7 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 6 7 3 8 - 3
Engineering Energy Storage, Second Edition, explains the engineering concepts of different energy technologies in a coherent manner, assessing underlying numerical material to evaluate energy, power, volume, weight, and cost of new and existing energy storage systems. Offering numerical examples and problems with solutions, this fundamental reference on engineering principles gives guidance on energy storage devices, setting up energy system plans for smart grids, engineering single technologies and comparing them, understanding the reasoning for losses in efficiency, and much more. This new edition advances the description of energy revolutions, with the premise that we are now in the most invasive and comprehensive energy revolution since the first industrial revolution. There is increased focus on the specifics of energy and power, as well as charging times for energy storage solutions compared to traditional means. The chapter on batteries is extensively expanded and now considers the carbon footprint of battery production and battery production processes. All technology costs are updated, and mineral limitations for the technologies are also discussed. More information regarding use scenarios for different energy storage solutions is included, and the exercises and worked problems are renewed and augmented, giving the reader a deeper understanding of the engineering aspects of energy storage. Designed for those in traditional fields of science as well as professional engineers in applied industries, this book is an ideal resource for undergraduate and postgraduate students, engineers, R&D, and industrial personnel working with energy storage systems or looking to extend their competencies into new areas.

Digital Signal Processing

  • 4th Edition
  • January 1, 2025
  • Li Tan + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 7 3 3 5 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 7 3 3 6 - 0
Digital Signal Processing: Fundamentals, Applications, and Deep Learning, Fourth Edition introduces students to the fundamental principles of DSP while also providing a working knowledge they can take with them into their engineering careers. Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts. As such, this book is also useful as a reference for non-engineering students and practicing engineers. The book goes beyond DSP theory, showing the implementation of algorithms in hardware and software.Additional topics covered include DSP for artificial intelligence, adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, µ-law, ADPCM, and multi-rate DSP, over-sampling ADC subband coding, and wavelet transform.

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