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  • Machine Learning for Astrophysics 2024

    Proceedings of the 2nd ML4ASTRO International Conference 8-12 July 2024

    Series series Springer Nature Proceedings excluding Computer Science
    This proceedings book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed chapters allow the reader to easily digest the material through balanced theoretical and numerical methods and tools with applications in different fields of theoretical and observational ... Read more

    $161.09 USD

  • Machine Learning for Astrophysics

    Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022

    Series series Springer Nature Proceedings excluding Computer Science
    This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed chapters allow the reader to easily digest the material through balanced theoretical and numerical methods and tools with applications in different fields of theoretical and observational astronomy. The book ... Read more

    $152.09 USD

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    Over the past few decades, devices and technologies have been significantly miniaturized from one generation to the next, providing far more potential in a much smaller package. The smallest of these recently developed tools are miniscule enough to be invisible to the naked eye. Nanotechnology: Concepts, Methodologies, Tools, and Applications describes some of the latest advances in microscopic ... Read more

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  • Science: Image In Action - Proceedings Of The 7th International Workshop On Data Analysis In Astronomy "Livio Scarsi And Vito Digesu"

    Series series The Science And Culture Series - Astrophysics
    The book gathers articles that were exposed during the seventh edition of the Workshop “Data Analysis in Astronomy”. It illustrates a current trend to search for common expressions or models transcending usual disciplines, possibly associated with some lack in the Mathematics required to model complex systems. In that, data analysis would be at the epicentre and a key facilitator of some current ... Read more

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  • Quantum Chemistry in the Age of Machine Learning

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    Quantum chemistry is simulating atomistic systems according to the laws of quantum mechanics, and such simulations are essential for our understanding of the world and for technological progress. Machine learning revolutionizes quantum chemistry by increasing simulation speed and accuracy and obtaining new insights. However, for nonspecialists, learning about this vast field is a formidable ... Read more

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  • Introduction to Megavoltage X-Ray Dose Computation Algorithms

    Edited by Jerry Battista ...
    Series series Series in Medical Physics and Biomedical Engineering
    Read an exclusive interview with Dr. Jerry Battista here.A critical element of radiation treatment planning for cancer is the accurate prediction and delivery of a tailored radiation dose distribution inside the patient. Megavoltage x-ray beams are aimed at the tumour, while collateral damage to nearby healthy tissue and organs is minimized. The key to optimal treatment therefore lies in adopting ... Read more

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  • AI for Physics

    by Volker Knecht ...
    Series series AI for Everything
    Written in accessible language without mathematical formulas, this short book provides an overview of the wide and varied applications of artificial intelligence (AI) across the spectrum of physical sciences. Focusing in particular on AI's ability to extract patterns from data, known as machine learning (ML), the book includes a chapter on important machine learning algorithms and their respective ... Read more

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  • Problem-Oriented Analytical Chemistry Driven by Chemometrics

    Problem-Oriented Analytical Chemistry Driven by Chemometrics covers challenges that are relevant to many fields using analytical techniques, including food quality and safety, environmental studies, product authentication, and petrochemistry using an analytical data science approach. The book's novel approach starts from case studies, allowing analytical chemists to understand how seemingly ... Read more

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    Computational and Data-Driven Chemistry Using Artificial Intelligence: Volume 1: Fundamentals, Methods and Applications highlights fundamental knowledge and current developments in the field, giving readers insight into how these tools can be harnessed to enhance their own work. Offering the ability to process large or complex data-sets, compare molecular characteristics and behaviors, and help ... Read more

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  • Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

    Series series Physics and Astronomy (R0)
    This open access book is a comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR. The main topics are pattern recognition for track and vertex finding, solving the equations of motion by analytical or numerical methods, treatment of material ... Read more

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  • Gravitational Wave Science with Machine Learning

    Edited by Elena Cuoco ...
    Series series Physics and Astronomy (R0)
    This book highlights the state of the art of machine learning applied to the science of gravitational waves. The main topics of the book range from the search for astrophysical gravitational wave signals to noise suppression techniques and control systems using machine learning-based algorithms. During the four years of work in the COST Action CA17137-A network for Gravitational Waves, Geophysics ... Read more

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  • Computational Science and Its Applications – ICCSA 2025 Workshops

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    The fourteen-volume set LNCS 15886-15899 constitutes the papers of several workshops which were held in conjunction with the 25th International Conference on Computational Science and Its Applications, ICCSA 2025, held in Istanbul, Turkey, during June 30–July 3, 2025.The 362 full papers, 37 short papers and 2 PHD showcase included in this book were carefully reviewed and selected from 1043 ... Read more

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