2022 Applied Mathematics And Statistics Editor S Pick
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2022 Applied Mathematics and Statistics Editor s Pick
Author | : Charles K. Chui,Eric Chung,Jianfeng Cai,Raluca Eftimie,Hong-Kun Xu,Daniel Potts,Young Shin Aaron Kim,Axel Hutt |
Publsiher | : Frontiers Media SA |
Total Pages | : 232 |
Release | : 2023-04-06 |
Genre | : Science |
ISBN | : 9782832520062 |
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2022 Computer Science Editor s Pick
Author | : Kaleem Siddiqi,Roberto Therón,Kostas Karpouzis,Sven Schewe,Nicola Zannone,Marcello Pelillo,Kristof Van Laerhoven,Paul Lukowicz |
Publsiher | : Frontiers Media SA |
Total Pages | : 150 |
Release | : 2023-04-06 |
Genre | : Science |
ISBN | : 9782832520055 |
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Frontiers in Computational Neuroscience Editors Pick 2021
Author | : Si Wu,Misha Tsodyks |
Publsiher | : Frontiers Media SA |
Total Pages | : 268 |
Release | : 2022-01-21 |
Genre | : Science |
ISBN | : 9782889741335 |
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High Performance Tensor Computations in Scientific Computing and Data Science
Author | : Edoardo Angelo Di Napoli,Paolo Bientinesi,Jiajia Li,André Uschmajew |
Publsiher | : Frontiers Media SA |
Total Pages | : 192 |
Release | : 2022-11-08 |
Genre | : Science |
ISBN | : 9782832504253 |
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Mathematical modeling and optimization for real life phenomena
Author | : Cristiana J. Silva,Guillermo Huerta Cuellar,Monique Chyba |
Publsiher | : Frontiers Media SA |
Total Pages | : 135 |
Release | : 2024-03-13 |
Genre | : Science |
ISBN | : 9782832546062 |
Download Mathematical modeling and optimization for real life phenomena Book in PDF, Epub and Kindle
Mathematical modeling of real life phenomena is a powerful tool in analyzing and describing their dynamical behavior. These models can be optimized and controlled using appropriate optimization methods and optimal control theory. Different characterization techniques are used to explain a real natural phenomenon by numerical simulations or experimental approximations.
Computational Intelligence for Engineering and Management Applications
Author | : Prasenjit Chatterjee,Dragan Pamucar,Morteza Yazdani,Dilbagh Panchal |
Publsiher | : Springer Nature |
Total Pages | : 925 |
Release | : 2023-04-29 |
Genre | : Technology & Engineering |
ISBN | : 9789811984938 |
Download Computational Intelligence for Engineering and Management Applications Book in PDF, Epub and Kindle
This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including machine intelligence, data analytics, and optimization algorithms for solving fundamental and advanced engineering and management problems. This book serves as a valuable resource for researchers, industry professionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications.
Digital Therapeutics
Author | : Oleksandr Sverdlov,Joris van Dam |
Publsiher | : CRC Press |
Total Pages | : 462 |
Release | : 2022-12-06 |
Genre | : Mathematics |
ISBN | : 9781000799231 |
Download Digital Therapeutics Book in PDF, Epub and Kindle
One of the hallmarks of the 21st century medicine is the emergence of digital therapeutics (DTx)—evidence-based, clinically validated digital technologies to prevent, diagnose, treat, and manage various diseases and medical conditions. DTx solutions have been gaining interest from patients, investors, healthcare providers, health authorities, and other stakeholders because of the potential of DTx to deliver equitable, massively scalable, personalized and transformative treatments for different unmet medical needs. Digital Therapeutics: Scientific, Statistical, Clinical, and Regulatory Aspects is an unparalleled summary of the current scientific, statistical, developmental, and regulatory aspects of DTx which is poised to become the fastest growing area of the biopharmaceutical and digital medicine product development. This edited volume intends to provide a systematic exposition to digital therapeutics through 19 peer-reviewed chapters written by subject matter experts in this emerging field. This edited volume is an invaluable resource for business leaders and researchers working in public health, healthcare, digital health, information technology, and biopharmaceutical industries. It will be also useful for regulatory scientists involved in the review of DTx products, and for faculty and students involved in an interdisciplinary research on digital health and digital medicine. Key Features: Provides the taxonomy of the concepts and a navigation tool for the field of DTx. Covers important strategic aspects of the DTx industry, thereby helping investors, developers, and regulators gain a better appreciation of the potential value of DTx. Expounds on many existing and emerging state-of-the art scientific and technological tools, as well as data privacy, ethical and regulatory considerations for DTx product development. Presents several case studies of successful development of some of the most remarkable DTx products. Provides some perspectives and forward-looking statements on the future of digital medicine.
Applied Analysis Computation and Mathematical Modelling in Engineering
Author | : Santanu Saha Ray,H. Jafari,T. Raja Sekhar,Suchandan Kayal |
Publsiher | : Springer Nature |
Total Pages | : 373 |
Release | : 2022-06-29 |
Genre | : Computers |
ISBN | : 9789811918247 |
Download Applied Analysis Computation and Mathematical Modelling in Engineering Book in PDF, Epub and Kindle
This book is a compendium of the proceedings of the International Conference on Applied Analysis, Computation, and Mathematical Modelling in Engineering (AACMME-2021). The book covers a variety of applications such as mechanical, acoustical, physical, electrical, bio-mathematical, and computational fluid dynamics. Since mathematical modeling necessitates a wide range of skills and methods, the book concentrates on techniques that will be of specific interest to engineers, scientists, and those who work with discrete and continuous systems models. This book guides students, researchers, and professionals through the new approaches, the powerful tools for quickly mastering the most popular mathematical and computational models used in engineering and science. These new approaches enable readers to not only systematically create effective models, but also extend these models to any macroscopic physical structure.