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Open AccessArticle
6 Pages, 2,373 KB Download PDF
MCNN+: Gemstone Image Classification Algorithm with Deep Multi-feature Fusion CNNs

by Haoyuan Huang and Rongcheng Cui
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # 15-20, 2024; DOI: 10.55708/js0308002
Abstract: Accurate gemstone classification is critical to the gemstone and jewelry industry, and the good performance of convolutional neural networks in image processing has received wide attention in recent years. In order to better extract image content information and improve image classification accuracy, a CNNs gemstone image classification algorithm based on deep multi-feature fusion is proposed.… Read More

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

Open AccessArticle
9 Pages, 4,040 KB Download PDF
Keratoconus Disease Prediction by Utilizing Feature-Based Recurrent Neural Network

by Saja Hassan Musa, Qaderiya Jaafar Mohammed Alhaidar and Mohammad Mahdi Borhan Elmi
Journal of Engineering Research and Sciences, Volume 3, Issue 7, Page # 44-52, 2024; DOI: 10.55708/js0307004
Abstract: Keratoconus is a noninflammatory disorder marked by gradual corneal thinning, distortion, and scarring. Vision is significantly distorted in advanced case, so an accurate diagnosis in early stages has a great importance and avoid complications after the refractive surgery. In this project, a novel approach for detecting Keratoconus from clinical images was presented. In this regard,… Read More

(This article belongs to the Section Biomedical Engineering (BIE))

Open AccessArticle
4 Pages, 1,033 KB Download PDF
Research on Feature Extraction Method of Fiber Bragg Grating Vibration Monitoring Based on FFT

by Mengxing Zhang, Youming Hua, Chunbin Chen, Chenkun Chu and Xiuli Zhang
Journal of Engineering Research and Sciences, Volume 1, Issue 7, Page # 44-47, 2022; DOI: 10.55708/js0107007
Abstract: Optical fiber is used in various fields because of its advantages of large-capacity communication, long-distance transmission, low signal crosstalk, good confidentiality, anti-electromagnetic interference, good transmission quality, small size, light weight, and long life. In this paper, the latest research progress of optical fiber sensing technology and its application and development in the field of rotating… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2022) and the Section Instruments and Instrumentation (INN))

Open AccessArticle
10 Pages, 1,948 KB Download PDF
Binary Image Classification with CNNs, Transfer Learning and Classical Models

by Nikolaos Vasileios Oikonomou, Dimitrios Vasileios Oikonomou, Sofia Panagiota Chaliasou and Nikolaos Rigas
Journal of Engineering Research and Sciences, Volume 5, Issue 1, Page # 66-75, 2026; DOI: 10.55708/js0501006
Abstract: This study presents a comprehensive comparative analysis of binary face classification utilizing Deep Learning and traditional Machine Learning approaches. We evaluate three distinct modeling strategies: (1) End-to-end Convolutional Neural Networks (CNNs), including a baseline TensorFlow model and an optimized PyTorch architecture; (2) Hybrid CNN-MLP networks; and (3) Feature extraction via a pre-trained ResNet50 coupled with… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
11 Pages, 3,588 KB Download PDF
A Cloud-Native Decision Intelligence Architecture for Sustainable CPG Supply Chain Networks

by Prahlad Chowdhury
Journal of Engineering Research and Sciences, Volume 5, Issue 1, Page # 35-45, 2026; DOI: 10.55708/js0501004
Abstract: Many retail and consumer packaged goods (CPG) companies use disconnected data pipelines, which can slow down decisions and increase costs. This paper introduces a cloud-native data architecture that brings together sell-in, sell-out, marketing, e-commerce, and financial data into one managed source of truth. This setup helps teams make timely and reliable decisions. Built on Snowflake,… 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 Information Systems – Computer Science (ISC))

Open AccessArticle
30 Pages, 6,424 KB Download PDF
Model Uncertainty Quantification: A Post Hoc Calibration Approach for Heart Disease Prediction

by Peter Adebayo Odesola, Adewale Alex Adegoke and Idris Babalola
Journal of Engineering Research and Sciences, Volume 4, Issue 12, Page # 25-54, 2025; DOI: 10.55708/js0412003
Abstract: We investigated whether post-hoc calibration improves the trustworthiness of heart-disease risk predictions beyond discrimination metrics. Using a Kaggle heart-disease dataset (n = 1,025), we created a stratified 70/30 train-test split and evaluated six classifiers, Logistic Regression, Support Vector Machine, k-Nearest Neighbors, Naive Bayes, Random Forest, and XGBoost. Discrimination was quantified by stratified 5-fold cross-validation with… Read More

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

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
9 Pages, 3,728 KB Download PDF
Implementing SAP Fiori in S/4HANA Transitions: Key Guidelines, Challenges, Strategic Implications, AI Integration Recommendations

by Trupti Raikar and Vinil Apelagunta
Journal of Engineering Research and Sciences, Volume 4, Issue 11, Page # 1-9, 2025; DOI: 10.55708/js0411001
Abstract: SAP GUI has become a legacy tool that does not receive new features in S/4HANA. The traditional SAP ECC interface has several drawbacks, such as its reliance on transaction codes, difficult navigation, and limited desktop use that is connected to on-premise systems. So, organizations looking to modernize need to switch to SAP Fiori. SAP Fiori… Read More

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

Open AccessArticle
11 Pages, 4,608 KB Download PDF
Finite Element Analysis and Topology Optimization of Bamboo Bike Frame

by Ishfaq Hussain
Journal of Engineering Research and Sciences, Volume 4, Issue 9, Page # 1-11, 2025; DOI: 10.55708/js0409001
Abstract: In response to the global imperative for sustainable solutions, this study investigates the finite element analysis (FEA) and optimization of bamboo as a material for bicycle frames. As eco-friendly transportation gains importance, bicycles are recognized as a key component of sustainable mobility. This research utilizes FEA to thoroughly examine the structural performance of bamboo frames,… Read More

(This article belongs to the Section Mechanical Engineering (MEE))

Open AccessArticle
11 Pages, 1,676 KB Download PDF
Comparative Analysis of Supervised Machine Learning Models for PCOS Prediction Using Clinical Data

by Ranyah Taha, Huda Zain El Abdin and Tala Musleh
Journal of Engineering Research and Sciences, Volume 4, Issue 6, Page # 16-26, 2025; DOI: 10.55708/js0406003
Abstract: Polycystic Ovary Syndrome (PCOS) is a prevalent hormonal disorder affecting women of reproductive age, commonly resulting in irregular menstrual cycles, elevated androgen levels, and the presence of polycystic ovaries. It is a major cause of infertility and is often linked with metabolic complications such as insulin resistance and obesity. Symptoms vary and may include acne,… Read More

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

Open AccessArticle
14 Pages, 47,405 KB Download PDF
Electric Transmission from Sarawak to Singapore Using Cable Suspended within O&G Pipes

by Prashobh Karunakaran, Mohd Shahril Oaman, Salim Sulaiman Maaji and Chee Cheng Sung
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # 20-33, 2025; DOI: 10.55708/js0405003
Abstract: Running HV cables within pipes has been done since the 1970s but not fully utilizing the piping expertise developed by the O&G industry since 1859. The O&G industry has laid pipes on the seabed over a vast area north of Sarawak. This research studies the feasibility of utilizing this available industry to send power from… Read More

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

Open AccessArticle
7 Pages, 4,141 KB Download PDF
Cost & Efficiency analysis of Battery & SC based Hybrid Energy Storage system for Solar OFF Grid applications

by Rahul Kotana
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 1-7, 2025; DOI: 10.55708/js0404001
Abstract: This study evaluates the feasibility, efficiency, and cost-effectiveness of a Hybrid Energy Storage System (HESS) for a 30KW Microgrid. The research analyses various storage configurations incorporating batteries and supercapacitors, considering factors such as cost, reliability, and performance. While conventional Battery Energy Storage Systems (BESS) offer lower initial costs, they suffer from long-term reliability issues due… Read More

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

Open AccessArticle
11 Pages, 1,724 KB Download PDF
Enhancing Breast Cancer Detection through a Hybrid Approach of PCA and 1D CNN

by Samet Aymaz
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 20-30, 2025; DOI: 10.55708/js0404003
Abstract: Breast cancer is a prevalent disease, particularly among women. Unlike many other cancers, early diagnosis and treatment can significantly improve patients’ quality of life. This study develops a hybrid approach for breast cancer detection using the Wisconsin datasets by combining Principal Component Analysis (PCA) and 1D Convolutional Neural Network (CNN) architectures to effectively separate and… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
8 Pages, 4,261 KB Download PDF
Developing E-Methane Value Chain and Proper Greenhouse Gas (GHG) Accounting Rules Incentivizing Recycled Carbon Fuels

by Ryota Kuzuki, Mitsuhiro Kohara, Noboru Kizuki, Satoshi Yoshida, Yuta Nezasa and Yuki Tsuji
Journal of Engineering Research and Sciences, Volume 4, Issue 1, Page # 8-15, 2025; DOI: 10.55708/js0401002
Abstract: Many countries and industries in the world are aiming to transition to a carbon neutral society. One of the means to achieve this is the use of recycled carbon fuels (RCFs) such as e-methane. Feasibility of an international value chain is being studied in a variety of regions. In particular, with regard to e-methane, demonstration… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Energy and Fuels (ENF))

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 Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
7 Pages, 318 KB Download PDF
On a Kernel k-Means Algorithm

by Bernd-Jürgen Falkowski*
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 37-43, 2024; DOI: 10.55708/js0310004
Abstract: This is the extended version of a paper presented at CISP-BMEI 2023. After a general introduction kernels are described by showing how they arise from considerations concerning elementary geometrical properties. They appear as generalizations of the scalarproduct that in turn is the algebraic version of length and angle. By introducing the Reproducing Kernel Hilbert Space… Read More

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

Open AccessArticle
12 Pages, 1,782 KB Download PDF
An Integrated Approach to Manage Imbalanced Datasets using PCA with Neural Networks

by Swarup Kumar Mondal and Anindya Sen
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 1-12, 2024; DOI: 10.55708/js0310001
Abstract: Imbalanced dataset handling in real time is one of the most challenging tasks in predictive modelling. This work handles the critical issues arising in imbalanced dataset with implementation of artificial neural network and deep neural network architecture. The usual machine learning algorithms fails to achieve desired throughput with certain input circumstances due to mismatched class… Read More

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

Open AccessReview
35 Pages, 3,100 KB Download PDF
Fingerprint Bio-metric: Confronting Challenges, Embracing Evolution, and Extending Utility – A Review

by Diptadip Maiti, Madhuchhanda Basak and Debashis Das
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 26-60, 2024; DOI: 10.55708/js0309003
Abstract: As documented in recent research, this review offers a thorough examination of the intricate subject of fingerprint authentication, including a wide range of issues and applications. Addressing problems like non-linear deformations and enhancing picture quality, which are frequently reduced by sophisticated improvement and alignment techniques are important components of fingerprint image authentication. Countering security concerns… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Cybernetics – Computer Science (CYC))

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 Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
9 Pages, 2,321 KB Download PDF
Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier

by Abdullah Y. Al-Maliki, Kamran Iqbal and Gannon White
Journal of Engineering Research and Sciences, Volume 3, Issue 4, Page # 1-9, 2024; DOI: 10.55708/js0304001
Abstract: Estimating the natural voluntary movement of human joints in its entirety is a challenging problem especially when high accuracy is desired. In this paper, we build a modular estimator to estimate the elbow joint motion including angular displacement and direction. Being modular, this estimator can be scaled for application to other joints. We collected surface… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2023-24) and the Section Health Care Sciences and Services (HCS))

Open AccessArticle
21 Pages, 7,923 KB Download PDF
Robust Localization Algorithm for Indoor Robots Based on the Branch-and-Bound Strategy

by Huaxi (Yulin) Zhang, Yuyang Wang, Xiaochuan Luo, Baptiste Mereaux and Lei Zhang
Journal of Engineering Research and Sciences, Volume 3, Issue 2, Page # 22-42, 2024; DOI: 10.55708/js0302004
Abstract: Robust and accurate localization is crucial for mobile robot navigation in complex indoor environments. This paper introduces a robust and integrated robot localization algorithm designed for such environments. The proposed algorithm, named Branch-and-Bound for Robust Localization (BB-RL), introduces an innovative approach that seamlessly integrates global localization, position tracking, and resolution of the kidnapped robot problem… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2023-24) and the Section Robotics (ROB))

Open AccessArticle
14 Pages, 5,442 KB Download PDF
Neural Synchrony-Based State Representation in Liquid State Machines, an Exploratory Study

by Nicolas Pajot and Mounir Boukadoum
Journal of Engineering Research and Sciences, Volume 2, Issue 11, Page # 1-14, 2023; DOI: 10.55708/js0211001
Abstract: Solving classification problems by Liquid State Machines (LSM) usually ignores the influence of the liquid state representation on performance, leaving the role to the reader circuit. In most studies, the decoding of the internally generated neural states is performed on spike rate-based vector representations. This approach occults the interspike timing, a central aspect of biological… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2023-24) and the Section Neurosciences (NES))

Open AccessArticle
18 Pages, 3,413 KB Download PDF
Imputation and Hyperparameter Optimization in Cancer Diagnosis

by Yi Liu, Wendy Wang and Haibo Wang
Journal of Engineering Research and Sciences, Volume 2, Issue 8, Page # 1-18, 2023; DOI: 10.55708/js0208001
Abstract: Cancer is one of the leading causes for death worldwide. Accurate and timely detection of cancer can save lives. As more machine learning algorithms and approaches have been applied in cancer diagnosis, there has been a need to analyze their performance. This study has compared the detection accuracy and speed of nineteen machine learning algorithms… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2023) and the Section Medical Informatics (MDI))

Open AccessReview
11 Pages, 3,612 KB Download PDF
Classification of Rethinking Hyperspectral Images using 2D and 3D CNN with Channel and Spatial Attention: A Review

by Muhammad Ahsan Aslam, Muhammad Tariq Ali, Sunwan Nawaz, Saima Shahzadi and Muhammad Ali Fazal
Journal of Engineering Research and Sciences, Volume 2, Issue 4, Page # 22-32, 2023; DOI: 10.55708/js0204003
Abstract: It has been demonstrated that 3D Convolutional Neural Networks (CNN) are an effective technique for classifying hyperspectral images (HSI). Conventional 3D CNNs produce too many parameters to extract the spectral-spatial properties of HSIs. A channel service module and a spatial service module are utilized to optimize characteristic maps and enhance sorting performance in order to… Read More

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

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