Volume 5, Issue 2 - 3 Articles
This issue presents a collection of research addressing intelligent automation, software reliability, and neurotechnology-assisted healthcare applications. The published papers explore the development of an AI-powered smart date harvesting robot using machine learning, computer vision, LiDAR sensing, and robotic manipulation technologies; enterprise-level strategies for identifying and mitigating automation test flakiness in large-scale software systems; and the application of virtual reality and brainwave entrainment techniques to improve attentional learning in children with ADHD, ASD, and related neurological conditions. Collectively, these contributions highlight the growing impact of artificial intelligence, intelligent sensing, automation frameworks, advanced analytics, and human-centered digital technologies in improving agricultural productivity, software quality assurance, and healthcare outcomes.
Front Cover
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # i–i, 2026
Editorial Board
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # ii–vii, 2026
Editorial
by Jinhua Xiao
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # viii–ix, 2026
Table of Contents
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # x–x, 2026
Harnessing the Power of Machine Learning and Sensor Detection in a Simulation for the Design of Smart Date Harvesting Robot
by Hanan Hassan Ali Adlan, Reham Al Zamanan, Leen Almufleh, Tala Almuqrin and Jory Alhassoun
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # 1-8, 2026; DOI: 10.55708/js0502001
Abstract: The Traditional date harvesting is labor-intensive and inefficient, leading to losses and quality issues. This paper introduces an AI-powered robotic system that automates date harvesting using computer vision, LiDAR sensors, and a robotic arm with a suction mechanism. The robot is capable of perception, it detects, classifies, and harvests ripe dates autonomously, ensuring minimal damage… Read More
(This article belongs to the Section Automation and Control Systems (ACS))
How to Fix Automation Flakiness: Root Causes and Enterprise-Level Solutions
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))
Impact of Brainwave Entrainment using VR to Improve Attentional Learning in Children with ADHD, ASD and Comorbidity
by Manasa Mandapati and Prabhat Ranjan
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # 24-35, 2026; DOI: 10.55708/js0502003
Abstract: Various neurological disorders (NDs) across the globe are prevalent among children, affecting their quality of life. Among them are Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), and comorbid conditions, which are defined by the proximity of symptoms of inattention, hyperactivity, and impulsivity that are accompanied by impairment in several functional domains. The overall… Read More
(This article belongs to the Special Issue on SP8 (Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26)) and the Section Neurosciences (NES))