Books by Keyword: Deep Learning

Books

Edited by: Prof. Alan Kin Tak Lau
Online since: January 2022
Description: This volume of the "Advanced Materials Research" journal contains papers reflecting research results in developing new materials and investigating their properties. The main covered topics comprise determining the suitability of natural fibers in reinforcing concrete, development of a sustainable cement product from solid waste, composite polymer counter electrodes, an effective anti-microbial coating, and new material for effective treatment of wastewater. It presents the results of a study on the prediction of the piezoelectric compositeseffective properties and the findings of the experimental investigation of sills’ effect on the hydraulic jump configurations evolving in a symmetrical trapezoidal channel. Furthermore, the articles demonstrate a novel method to classify surface defects on silicon wafers, an unconventional approach to the concrete evaluation study, and a new method to analyze the material flow and defect detection. The papers collected in this volume will be helpful for professionals in various engineering fields, students and academic staff.
Edited by: Dr. Sooraj Hussain Nandyala and Dr. David Duday
Online since: January 2022
Description: The 54th volume of the "Journal of Biomimetics, Biomaterials, and Biomedical Engineering" highlights broad topics on biomedical engineering, specifically: medical images processing, model analysis of mechanical stress distribution in bone during dental implantation, properties and application conditions of various biomaterials in orthopedic and pharmacology.
Edited by: Prof. Akii Okonigbon Akaehomen Ibhadode
Online since: November 2020
Description:

The 51st volume of "International Journal of Engineering Research in Africa" includes peer-reviewed manuscripts reflecting the research results in the fields of materials science, applied mechanics, mechanical and power engineering, biomass processing, communication, construction, engineering management, and applied use of computational procedures and optimization methods in the research practice. The presented scientific articles can be appreciated by the majority of engineers, academic teachers, and students majoring in the fields of engineering science.

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