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Open AccessArticle
9 Pages, 3,285 KB Download PDF
Identification of Basic Respiratory Patterns for Disease-related Symptoms Through a Microphone Device

by Amol M Khatkhate, Varad Raut, Madhura Jadhav, Shreya Alva, Kalpesh Vichare and Ameya Nadkarni
Journal of Engineering Research and Sciences, Volume 1, Issue 6, Page # 36-44, 2022; DOI: 10.55708/js0106005
Abstract: The research in this paper focuses on the capture of respiratory patterns in real-time through a minor modification of an anti-snoring device that is readily available off the shelf or can be bought online and attaching a microphone to it. The audio pattern is recorded for the various lung conditions at different stages. The data… Read More

(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Biochemical Research Methods (BRM))

Open AccessArticle
14 Pages, 8,167 KB Download PDF
A Vendor-Agnostic Multi-Cloud Integration Framework Using Boomi and SAP BTP

by Padmanabhan Venkiteela
Journal of Engineering Research and Sciences, Volume 4, Issue 12, Page # 1-14, 2025; DOI: 10.55708/js0412001
Abstract: The shift toward multi-cloud strategies has made a vendor-agnostic integration framework indispensable for seamlessly orchestrating workflows across heterogeneous platforms. Modern enterprises increasingly rely on a mix of cloud ecosystems leveraging Amazon Web Services (AWS) for elasticity, Google Cloud Platform (GCP) for advanced AI/ML capabilities, Azure Cloud and Oracle Cloud Infrastructure (OCI) for critical enterprise workloads… Read More

(This article belongs to the Section Information Systems – Computer Science (ISC))

Open AccessArticle
17 Pages, 1,000 KB Download PDF
Content Recommendation E-learning System for Personalized Learners to Enhance User Experience using SCORM

by Pasindu Udugahapattuwa and Shantha Fernando
Journal of Engineering Research and Sciences, Volume 4, Issue 9, Page # 30-46, 2025; DOI: 10.55708/js0409004
Abstract: E-learning is a main field used to improve learners’ learning environment. It would be more useful if the E-learning systems were improved by getting interactions and focusing on user experience. This research suggests increasing the user experience of students towards E-learning environments by recommending content according to their preferences. This research aims to make personalized… Read More

(This article belongs to the Special Issue on SP7 (Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025)) and the Section Information Systems – Computer Science (ISC))

Open AccessArticle
7 Pages, 1,803 KB Download PDF
Enhancing Mental Health Support in Engineering Education with Machine Learning and Eye-Tracking

by Yuexin Liu, Amir Tofighi Zavareh and Ben Zoghi
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 69-75, 2024; DOI: 10.55708/js0310007
Abstract: Mental health concerns are increasingly prevalent among university students, particularly in engineering programs where academic demands are high. This study builds upon previous work aimed at improving mental health support for engineering students through the use of machine learning (ML) and eye-tracking technology. A framework was developed to monitor mental health by analyzing eye movements… Read More

(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessReview
15 Pages, 5,952 KB Download PDF
Biclustering Results Visualization of Gene Expression Data: A Review

by Haithem Aouabed, Mourad Elloumi and Fahad Algarni
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 54-68, 2024; DOI: 10.55708/js0310006
Abstract: Biclustering is a non-supervised data mining method used to analyze gene expression data by identifying groups of genes that exhibit similar patterns across specific groups of conditions. Discovering these co-expressed genes (called biclusters) can aid in understanding gene interactions in various biological contexts. Biclustering is characterized by its bi-dimensional nature, grouping both genes and conditions… Read More

(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Mathematical and Computational Biology (MCB))

Open AccessArticle
14 Pages, 6,774 KB Download PDF
HivePool: An Exploratory Visualization System for Honey Beehive Data

by Tinghao Feng, Sophie Columbia, Christopher Campell and Rahman Tashakkori
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 61-74, 2024; DOI: 10.55708/js0309004
Abstract: Honey bee health is crucial for global ecosystems, but traditional data analysis methods often struggle to capture the complex interplay between bee behavior and environmental factors. To bridge this gap, we developed HivePool, a novel data visualization and analysis tool designed to empower beekeepers and researchers with deeper insights into these interactions. This paper explores… Read More

(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Horticulture (HOR))

Open AccessArticle
7 Pages, 2,415 KB Download PDF
A Case Study on Formal Sequential Equivalence Checking based Hierarchical Flow Setup towards Faster Convergence of Complex SOC Designs

by Anantharaj Thalaimalai Vanaraj and Reshi Razdan
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # 21-27, 2024; DOI: 10.55708/js0308003
Abstract: Functional Verification Sign-Off is the crux of the design verification problem faced by latest Silicon Designs on the Simulation/Stimulus Driven and the Formal Verification Platforms. Formal Verification Convergence is a custom specific criterion depending on the success, failure, exhaustiveness and reachability of the verification goals generated and validated by the Formal Tool. One of the… Read More

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

Open AccessArticle
6 Pages, 2,399 KB Download PDF
A Computational Approach for Recognizing Text in Digital and Natural Frames

by Mithun Dutta, Dhonita Tripura and Jugal Krishna Das
Journal of Engineering Research and Sciences, Volume 3, Issue 7, Page # 53-58, 2024; DOI: 10.55708/js0307005
Abstract: Acquiring tenable text detection and recognition outcomes for natural scene images as well as for digital frames is very challenging emulating task. This research approaches a method of text identification for the English language which has advanced significantly, there are particular difficulties when applying these methods to languages such as Bengali because of variations in… Read More

(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
12 Pages, 1,935 KB Download PDF
A Thorough Examination of the Importance of Machine Learning and Deep Learning Methodologies in the Realm of Cybersecurity: An Exhaustive Analysis

by Ramsha Khalid and Muhammad Naqi Raza
Journal of Engineering Research and Sciences, Volume 3, Issue 7, Page # 11-22, 2024; DOI: 10.55708/js0307002
Abstract: In today's digital age, individuals extensively engage with virtual environments hosting a plethora of public and private services alongside social platforms. As a consequence, safeguarding these environments from potential cyber threats such as data breaches and system disruptions becomes paramount. Cybersecurity encompasses a suite of technical, organizational, and managerial measures aimed at thwarting unauthorized access… Read More

(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Information Systems – Computer Science (ISC))

Open AccessArticle
10 Pages, 1,829 KB Download PDF
Fast Labeled Spanning Tree in Binary Irregular Graph Pyramids

by Majid Banaeyan and Walter G. Kropatsch
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 69-78, 2022; DOI: 10.55708/js0110009
Abstract: Irregular Pyramids are powerful hierarchical structures in pattern recognition and image processing. They have high potential of parallel processing that makes them useful in processing of a huge amount of digital data generated every day. This paper presents a fast method for constructing an irregular pyramid over a binary image where the size of the… Read More

(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Interdisciplinary Applications – Computer Science (IAC))

Open AccessArticle
8 Pages, 1,411 KB Download PDF
Fuzzy Matrix Theory based Decision Making for Machine Learning

by Javaid Ahmad Shah
Journal of Engineering Research and Sciences, Volume 1, Issue 6, Page # 13-20, 2022; DOI: 10.55708/js0106003
Abstract: The Fuzzy set theory has numerous real-life applications in almost every field like artificial intelligence, pattern recognition, medical diagnosis etc. There are so many techniques used for solving decision-making problems given by various researchers from time to time. To be able to make consistent and correct choices is the essence of any decision process pervade… Read More

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

Open AccessArticle
11 Pages, 3,156 KB Download PDF
Surface Defect Detection using Convolutional Neural Network Model Architecture

by Sohail Shaikh, Deepak Hujare and Shrikant Yadav
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 134-144, 2022; DOI: 10.55708/js0105014
Abstract: With the dominance of a technical and volatile environment with enormous consumer demands, this study aims to investigate the advancements in quality assurance in the era of Industry 4.0. For better production efficiency, rapid and robust automated quality visual inspection is developing rapidly in product quality control. Deep neural network architecture is built for a… Read More

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

Open AccessArticle
11 Pages, 957 KB Download PDF
Utilization of Date Tree Leaves Biomass for the Removal of Heavy Metals from Water

by Kiman Silas, Aliyu B. Ngulde and Habiba D. Mohammed
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 137-147, 2022; DOI: 10.55708/js0104016
Abstract: Cadmium (Cd) is known to have adverse effects on the kidney, liver, bones and cardio-pulmonary system, this heavy metal is usually consumed from drinking water with higher Cd acceptable limits. In this study, Activated Carbon (AC) is produced from Date Tree Leaf (DTL) and impregnated with Zinc Oxide catalyst, where an adsorbent (ZnO/DTL) was developed… Read More

(This article belongs to the Section Chemical Engineering (CHE))

Open AccessArticle
8 Pages, 593 KB Download PDF
Resonant Radiation of Boundary with a Travelling Distribution of the Field

by Vladimir Arabadzhi
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 01-08, 2022; DOI: 10.55708/js0104001
Abstract: The problem of acoustic monochromatic radiation by boundary with a traveling distribution of phases of normal vibrational velocities is considered. It is shown that when the spatial frequency of the traveling phase of normal velocities approaches the wave number in the medium, the energy transfer from boundary   into a “sliding” (with respect to the boundary)… Read More

(This article belongs to the Section Acoustics (ACO))

Open AccessArticle
9 Pages, 5,147 KB Download PDF
Bridging the Urban-Rural Broadband Connectivity Gap using 5G Enabled HAPs Communication Exploiting TVWS Spectrum

by Habib M. Hussien, Konstantinos Katzis, Luzango P. Mfupe and Ephrem T. Bekele
Journal of Engineering Research and Sciences, Volume 1, Issue 2, Page # 24-32, 2022; DOI: 10.55708/js0102003
Abstract: As with previous generations of mobile cellular networks, rural regions are projected to face financial and technological challenges in deploying 5G services. At the time, researchers all around the world are investigating the feasibility of utilizing TV White Spaces (TVWS). TVWS is an underutilized/unused section of television spectrum that might be used as a low-cost… Read More

(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Telecommunications (TEL))

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