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  Browse All Reviews > Computer Applications (J) > Physical Sciences And Engineering (J.2)  
 
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  1-10 of 371 Reviews about "Physical Sciences And Engineering (J.2)": Date Reviewed
  Beginning breadboarding: physical computing and the basic building blocks of computers
Fox J., Apress, New York, NY, 2023. 495 pp.  Type: Book (9781484292174)

The maker movement is getting more popular, possibly fueled by the recent coronavirus crisis that left many of us searching for new indoor activities. A niche within this field is electronics, with quite a few books available that teach the basics...

Jan 10 2024
   Machine learning for earth sciences: using Python to solve geological problems
Petrelli M., Springer International Publishing, Cham, Switzerland, 2023. 209 pp.  Type: Book (9783031351136)

Machine learning is everywhere, not just in application areas that we hear about every day. Learning systems have the potential to positively impact society through their application to fields ranging from finance and public health to the earth sc...

Jan 1 2024
   Deep learning in solar astronomy
Xu L., Yan Y., Huang X., Springer International Publishing, Singapore, 2022. 92 pp.  Type: Book (9789811927454)

Astronomy began with observations of things visible in the sky. In the Modern Era, observations of radio waves as well as visible light further advanced human knowledge. In solar astronomy we observe images, events such as solar flares, and magnet...

Nov 22 2023
  Sustainable cities: big data, artificial intelligence and the rise of green, "cy-phy" cities
Scardovi C., Springer International Publishing, Cham, Switzerland, 2021. 231 pp.  Type: Book (978-3-030684-37-2)

The book’s central theme is the fashionable “smart city”; however, it is difficult to define the genre of the book, for example, it was published under business management. The book is rather a kind of empirical philosophy that o...

Mar 9 2023
  Deep learning and physics
Tanaka A., Tomiya A., Hashimoto K., Springer International Publishing, New York, NY, 2021. 220 pp.  Type: Book (978-9-813361-07-2)

Machine learning (ML) and particularly deep learning (DL) are used in various physics studies. In this book, the authors show how. They begin by discussing the attributes and theory of ML and its apparent similarities in form to theories in physic...

Feb 16 2023
   Integration with complex numbers: a primer on complex analysis
McMaster B., McCluskey A., Oxford University Press, Oxford, UK, 2022. 288 pp.  Type: Book (978-0-192846-43-3)

Complex analysis is a rich subject that can bewilder the beginning student with the nonintuitive behavior of its objects and the wide range of applications to which it has been applied. This highly readable introduction engages only a severely res...

Feb 9 2023
  Deep learning for physics research
Erdmann M., Glombitza J., Kasieczka G., Klemradt U., World Scientific Publishing Co., Inc., Singapore, 2021. 340 pp.  Type: Book (981123745X)

Deep learning for physics research reviews the research and applications of deep learning methods for physics students and physicists. It specifically looks at how deep learning and neural network applications can be used in their work....

Feb 8 2023
  Design thinking and research: interrogating the doing
Meinel C., Leifer L., Springer International Publishing, New York, NY, 2021. 433 pp.  Type: Book (978-3-030620-36-3)

This 400-plus-page edited book was published as part of Springer’s “Understanding Innovation” series. (More information about this series is available at http://www.springer.com/series/8802.) Both the series editors and this volu...

Nov 3 2022
  Big data mining for climate change
Zhang Z., Li J., ELSEVIER, Cambridge, MA, 2020. 344 pp.  Type: Book (978-0-128187-03-6)

The book looks more like an encyclopedia than a handbook or textbook. The chapter titles mention climate issues that are typically discussed in the last subsections of the given chapter. Each chapter systematically goes through the for...

Apr 14 2022
  Mechanistic explanations in physics and beyond
Falkenburg B., Schiemann G., Springer International Publishing, New York, NY, 2019. 220 pp.  Type: Book (978-3-030107-06-2)

This book provides an overview of the mechanistic approach to science from historical, philosophical, computational, and other viewpoints. This approach arises from the fact that, in real life, most objects remain the same (at least lo...

Oct 1 2021
 
 
 
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