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Books in Physical sciences and engineering

  • Probability for Deep Learning Quantum

    A Many-Sorted Algebra View
    • 1st Edition
    • Charles R. Giardina
    • English
    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.

  • Computer-Aided Diagnosis (CAD) Tools and Applications for 3D Medical Imaging

    • 1st Edition
    • Volume 136
    • English
    Computer-Aided Diagnosis (CAD) Tools and Applications for 3D Medical Imaging, Volume 136 in the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. Chapters in this updated release include Introduction to Computer-aided diagnosis (CAD) tools and applications, Enhancement of three-dimensional medical images, Machine Learning Based Techniques for Computer Aided Diagnosis, AI-based image processing techniques for the automatic segmentation of human organs, Watermarking over medical images, Compressive Sensing for 3D Medical Image Compression, and more.Additional chapters cover Image encryption of medical images, Image Registration for 3D Medical Images, Texture-based computations for processing volumetric dental image, Language Processing in the Brain :an fMRI Study, Research challenges and emerging futuristic evolution for 3D medical image processing, Software based medical image analysis, and Automated 3D Visualization and Volume Estimation of Hepatic Structures for Treatment Planning of Hepatocellular Carcinoma.

  • Artificial Intelligence for Subsurface Characterization and Monitoring

    • 1st Edition
    • Aria Abubakar
    • English
    Artificial Intelligence for Subsurface Characterization and Monitoring provides an in-depth examination of how deep learning accelerates the process of subsurface characterization and monitoring and provides an end-to-end solution. In recent years, deep learning has been introduced to the geoscience community to overcome some longstanding technical challenges. This book explores some of the most important topics in this discipline to explain the unique capability of deep learning in subsurface characterization for hydrocarbon exploration and production and for energy transition. Readers will discover deep learning methods that can improve the quality and efficiency of many of the key steps in subsurface characterization and monitoring.The text is organized into five parts. The first two parts explore deep learning for data enrichment and well log data, including information extraction from unstructured well reports as well as log data QC and processing. Next is a review of deep learning applied to seismic data and data integration, which also covers intelligent processing for clearer seismic images and rock property inversion and validation. The closing section looks at deep learning in time lapse scenarios, including sparse data reconstruction for reducing the cost of 4D seismic data, time-lapse seismic data repeatability enforcement, and direct property prediction from pre-migration seismic data.

  • Ideal and Real Atmospheric Boundary Layers

    • 1st Edition
    • Mathias W. Rotach + 1 more
    • English
    Ideal and Real Atmospheric Boundary Layers is based on the notion that classical books of Boundary Layer Meteorology largely focus on ideal surface conditions, while the actual real circumstances often address situations that are more complex, like over heterogeneous land and in urban and mountain areas.Ideal and Real Atmospheric Boundary Layers starts by covering the basic physical principles used in atmospheric boundary layer meteorology, including atmospheric turbulence, observing and modeling atmospheric boundary layers, and neutral, convective, and stable boundary layers over different types of land surfaces. The second part of the book describes the applications and extension of these principles for real-world circumstances. The book will be of interest to researchers and students in atmospheric science, climate science, and meteorology.

  • Soft Computing in Smart Manufacturing and Materials

    • 1st Edition
    • Sudan Jha + 4 more
    • English
    Soft Computing in Smart Manufacturing and Materials explains the role of soft computing in the manufacturing industries. It presents the techniques, concepts and design principles behind smart soft computing, and describes how they can be applied in the development and manufacture of smart materials. It provides perspectives for design and commissioning of intelligent applications, including in health care, agriculture, and production assembly, and reviews the latest intelligent technologies and algorithms related to the methodologies of monitoring and mitigation of sustainable engineering.

  • Agent-Based Models with MATLAB

    • 1st Edition
    • Erik Cuevas + 3 more
    • English
    Agent-Based Models with MATLAB introduces Agent-Based Modeling (ABM), one of the most important methodologies for complex systems modeling. The book explores computational implementations and accompanying MATLAB software code as a means of inspiring readers to apply agent-based models to solve a diverse range of problems. It comes with a large amount of software code that accompanies the main text, and the modeling systems described in the book are implemented using MATLAB as the programming language. Despite the heavy mathematical components of Agent-Based Models and complex systems, it is possible to utilize these models without in-depth understanding of their mathematical fundamentals.This book enables computer scientists, mathematicians, researchers, and engineers to apply ABM in a wide range of research and engineering applications. It gradually advances from basic to more advanced methods while reinforcing complex systems through practical, hands-on applications of various computational models.

  • Redox Signaling in Wound Healing in Elderly Populations: Clinical Approach, Part 2

    • 1st Edition
    • Volume 3
    • English
    Redox Signaling in Wound Healing in Elderly Populations: Clinical Approach, Part Two, Volume Three covers wounds in different types and locations (diabetic, ischemic, post-operational) in subcellular and macro dimensions, examining their relationship with aging with an aim to target deteriorating redox signaling cascades and highlight promising therapeutic approaches. Understanding the indication for the use of new therapeutics targeting the illuminated pathways in wound healing helps adjust treatment regimens befitting modern medicine. Ineffective redox adaptation and disseminated oxidative injury are the hallmarks of continuing oxidative stress.However, oxidative stress cannot be simply described as the imbalance between ROS formation and antioxidant defense capacity. This also covers impairment in redox sensing and signaling pathways. The term oxidative stress is an expression that is losing its use in modern redox biology. It is now an accepted fact that ROS cannot be described as an apparent enemy or friend. Its optimum level modulates signal transduction and stress responses by acting as a second messenger for redox-sensitive cascades.

  • Extracellular Vesicles for Therapeutic and Diagnostic Applications

    • 1st Edition
    • Anand Krishnan + 4 more
    • English
    Extracellular Vesicles for Therapeutic and Diagnostic Applications provides an introduction to exosomes and extracellular vesicles, including their unique properties and characterization, before detailing the most-utilized isolation, purification, and surface engineering techniques for their preparation as therapeutic and diagnostic agents. This book reviews recent developments in interdisciplinary research on exosome structure, properties, and engineering approaches as well as their use in diagnosis and treatment of a variety of illnesses such as cancer, tuberculosis, Alzheimer's disease, ophthalmic diseases, and others. Extracellular Vesicles for Therapeutic and Diagnostic Applications is an important reference for those interested in the development and application of exosomes and extracellular vesicles as biomaterials for us in the diagnosis and treatment of disease.

  • Titan After Cassini-Huygens

    • 1st Edition
    • Rosaly M.C. Lopes + 3 more
    • English
    **2026 PROSE Award Finalist in Chemistry, Physics, Astronomy, and Cosmology**Titan After Cassini-Huygens is the most up-to-date and comprehensive coverage of our knowledge on Titan, including results and insights from the joint NASA/European Space Agency/Italian Space Agency mission Cassini-Huygens and the conclusions drawn by experts following detailed analysis of the mission data. Our knowledge of Titan has increased substantially due to observations from the Cassini-Huygens mission, which ended in 2017. Since then, observations from Earth, as well as laboratory and theoretical studies, have continued to add to our knowledge. These conclusions, combined with the latest ground-based and theoretical research, provide the most recent understanding of the science of Titan, covering the origin and evolution of Titan, its magnetic and plasma environment, surface, interior structure, geology, atmosphere, and the astrobiological potential for the oceans on the moon.The first book of the new COSPAR book series, Titan After Cassini-Huygens, is an integral reference for scientists, researchers, and academics working on Titan or ocean worlds.Part of the COSPAR Book SeriesEdited by Jean-Louis Fellous, former Executive Director of COSPAR (Committee on Space Research; 2008–2019)

  • Accelerating Digital Transformation with the Cloud and the Internet of Things (IoT)

    • 1st Edition
    • Yacine Atif + 1 more
    • English
    Accelerating Digital Transformation with the Cloud and the Internet of Things (IoT) is a reference for IT engineers and decision-makers who may engage in IoT platform pilot projects. The resources covered in this book help establish plans for sustainable operations and management and assist with the long-term procurement of relevant IoT technologies. The aim of the book is to be exhaustive and holistic by pointing out numerous issues and related solution options that guide with daily challenges when deploying and running IoT platforms.The book is divided into three parts where each part includes relevant theoretical chapters and applied case studies. Part One focuses on architectural and federation options for the design and implementation of IoT platforms that foster strategic collaboration opportunities. Part Two addresses vertical security challenges across IoT platform layers. Finally, Part Three shows how IoT is driving the digital transformation wheel through existing and forthcoming case studies.

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