Volume 2, Issue 12

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Volume 2, Issue 12 - 4 Articles

This issue covers recent advances in technology and environmental science. It looks at four main topics: making computer chips cleaner, creating plastics from plants, improving home security systems, and using quantum computers to analyze satellite images. The first study shows how to reduce harmful chemicals in chip making. The second finds ways to turn sawdust into plastic using bacteria. The third combines face recognition with temperature checks for safer housing during COVID-19. The last study uses new quantum computing methods to better understand satellite images. All these studies offer new solutions to current problems and show how science is moving forward in different areas.

Editorial
Editorial
1 Page, 4,587 KB Download PDF
Front Cover

Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # i–i, 2023

Editorial
1 Page, 703 KB Download PDF
Editorial Board

Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # ii–ii, 2023

Editorial
2 Pages, 699 KB Download PDF
Editorial

by Paul Andrew

Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # iii–iv, 2023

Editorial
1 Page, 672 KB Download PDF
Table of Contents

Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # v–v, 2023

Articles
Open AccessArticle
6 Pages, 3,271 KB Download PDF
Failure Analysis & Mechanism Studies of the Worm-like Defects in Vias of Wafer Fabrication

by Hua Younan, Liao Jinzhi Lois, Liu Binghai, Zhu Lei and Li Xiaomin
Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # 1-6, 2023; DOI: 10.55708/js0212001
Abstract: In semiconductor wafer fabrication, the contamination issue by halogens (such as F, Cl, and Br) brings great challenges to metallization processes in the back end of line (BEOL). For aluminum (Al) back-end process, severe metal corrosion may occur by halogens, forming aluminum halide defects. Such halogen-induced metal corrosion issue creates the defects on Al metal… Read More

(This article belongs to the Section Electrical Engineering (ELE))

Open AccessArticle
8 Pages, 2,445 KB Download PDF
Isolation and Characterization of the Bioplastic Producing Bacteria Using Low-Cost Substrate, Sawdust

by Anam Javaid, Sumaira Aslam, Hira Qaisar, Farhat Batool, Rimsha Javed and Muhammad Waqas Qaisar
Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # 7-14, 2023; DOI: 10.55708/js0212002
Abstract: Plastics are routinely used in the packaging of materials as well as in industrial production. However, once in the environment, they are non-biodegradable, posing severe threats to the ecosystems. Bioplastic replaces conventional plastic, which is biodegradable due to its biological origin and does not affect environment. Sawdust is a very important agro-waste screened as a… Read More

(This article belongs to the Section Biotechnology and Applied Microbiology (BAM))

Open AccessArticle
8 Pages, 1,288 KB Download PDF
Smart Monitoring System for Housing Societies based on Deep Learning and IoT

by Neha Koppikar and Nidhi Koppikar
Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # 15-22, 2023; DOI: 10.55708/js0212003
Abstract: Since 2020, people have been getting their body temperatures checked at every public location, social distancing has become a norm, and it has become essential to know who has been in contact with whom. Therefore, we needed a system that helped us solve these challenges, especially in housing societies, as most of the general public… Read More

(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
11 Pages, 2,283 KB Download PDF
Quantum Machine Learning on Remote Sensing Data Classification

by Yi Liu, Wendy Wang, Haibo Wang and Bahram Alidaee
Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # 23-33, 2023; DOI: 10.55708/js0212004
Abstract: Information extracted from remote sensing data can be applied to monitor the business and natural environments of a geographic area. Although a wide range of classical machine learning techniques have been utilized to obtain such information, their performance differs greatly in classification accuracy. In this study, we aim to examine whether quantum-enhanced machine learning can… Read More

(This article belongs to the Section Remote Sensing (RMS))

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