by Samya Hachemi and Zine Elabidine Rahmouni
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 38-47, 2022; DOI: 10.55708/js0104005
Abstract: In fact, aggregates in concrete generally occupied a considerable proportion of volume (60%-75%); sand constitutes about 30% to 50% of aggregates volume. It is well known that the nature of aggregates plays an important role on quality and properties of concrete. This suggests that the behavior of concrete exposed to high temperature is strongly linked… Read More

(This article belongs to the Section Civil Engineering (CVE))

by Sujeet Kumar Tiwari
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # 9-23, 2026; DOI: 10.55708/js0502002
Abstract: Flakiness in automation is one of the most intractable barriers to dependable enterprise CI/CD, in which organizations can run more than 50M tests daily, and a 5-10% flaky rate may spoil thousands of builds. The paper brings together empirical research and industrial case studies on UI, API, mobile, and data pipelines to describe the prevalent… Read More

(This article belongs to the Section Hardware and Architecture – Computer Science (HAC))

by Youmna Rabie Farag and Bintu Jasson
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 74-80, 2024; DOI: 10.55708/js0311006
Abstract: The high rate of vehicle accidents is increasingly linked to drivers failing to maintain adequate safety distances between their vehicles and those in front. This issue is exacerbated by varying weather conditions such as rain, sandstorms, and fog. To mitigate this problem, we propose an Arduino-based intelligent system designed to assist drivers in maintaining safe… Read More

(This article belongs to the Section Automation and Control Systems (ACS))

by Vijay Kumar, Jai Singh Malhotra, Saurav Sharma and Parth Bhardwaj
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 09-18, 2022; DOI: 10.55708/js0103002
Abstract: Information about soil properties help the farmers to do effective and efficient farming, and yield mo . An attempt has been made in this paper to predict the soil properties using machine learning approaches. The main properties of soil prediction are Calcium, Phosphorus, pH, Soil Organic Carbon, and Sand. These properties greatly affect the production… Read More

(This article belongs to the Section Environmental Engineering (EVE))