Search

Journal Menu

Journal Browser

Special Issues

Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2026)
Guest Editors: Prof. Paul Andrew
Deadline: 31 December 2026

Special Issue on Artificial Intelligence for Energy Transition and Decarbonization (SI-AIETD26)
Guest Editors: Dr. Elkhatib Kamal, Dr. Reza Ghorbani, Dr. Ahmed Ragab, Prof. Mohamed Kouki
Deadline: 31 December 2026

Results (26)

Search Parameters:

Keyword: Algorithms
Order results
Results per page
Open AccessArticle
11 Pages, 3,087 KB Download PDF
Comparative Analysis of Scheduling Algorithms in 5G Uplink Transmission

by Maryam Imran Sheik Mamode and Tulsi Pawan Fowdur
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 41-51, 2022; DOI: 10.55708/js0105005
Abstract: 5G is the successor to 4G technology and it has enabled a new level of user experience with much greater speeds and much lower latencies. Scheduling is the method of allocating resources for transmission of data. In this paper, three scheduling algorithms have been investigated, namely Proportional Fair, Round Robin and Best CQI. An uplink… Read More

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

Open AccessArticle
8 Pages, 1,505 KB Download PDF
Energy-Optimized Smart Transformers for Renewable-Rich Grids

by Sunday Omini Oboma and Edward Lambart
Journal of Engineering Research and Sciences, Volume 4, Issue 10, Page # 21-28, 2025; DOI: 10.55708/js0410003
Abstract: The accelerating and unrestrained use of energy globally raises serious concerns for the future of the planet, primarily due to the environmental devastation caused by fossil fuels. Achieving high energy efficiency in both fuel-driven and renewable energy systems is crucial for future energy optimization. Clean energy production is one of the most effective strategies to… Read More

(This article belongs to the Section Energy and Fuels (ENF))

Open AccessArticle
7 Pages, 1,242 KB Download PDF
An Optimized Algorithm for Solving the Maximum Independent Set Problem

by Hager Hussein
Journal of Engineering Research and Sciences, Volume 4, Issue 8, Page # 24-30, 2025; DOI: 10.55708/js0408003
Abstract: Software engineering plays an important role in computer science. Novel quantum algorithms can efficiently solve software-engineering problems. Not only software engineering but also many industries including logistics, finance, genomics, resource allocation, logistics, bioinformatics, mobile agents and more have optimization problems. Such problems may have long time solutions. Research has been conducted to improve the performance… Read More

(This article belongs to the Section Quantum Science and Technology (QST))

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
8 Pages, 1,327 KB Download PDF
Fire Type Classification in the USA Using Supervised Machine Learning Techniques

by Ranyah Taha, Fuad Musleh and Abdel Rahman Musleh
Journal of Engineering Research and Sciences, Volume 4, Issue 6, Page # 1-8, 2025; DOI: 10.55708/js0406001
Abstract: Wildfires are a growing global concern, causing widespread environmental, economic, and health impacts. In the USA, fire incidents have become more frequent and intense due to factors such as climate change, prolonged droughts, and human activities. Machine learning plays a vital role in predicting and classifying fires by analyzing vast satellite and environmental datasets with… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2024-25 and the Section Remote Sensing (RMS))

Open AccessArticle
12 Pages, 281 KB Download PDF
AI-Driven Digital Transformation: Challenges and Opportunities

by Maikel Leon
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 8-19, 2025; DOI: 10.55708/js0404002
Abstract: This paper explores the crucial role of Artificial Intelligence (AI) in driving digital transformation across industries. It examines machine learning, deep learning, fuzzy logic, genetic algorithms, reinforcement learning, and generative AI techniques, highlighting their development, applications, and examples. Case studies showcase AI’s impact in optimizing supply chains, improving financial operations, boosting customer engagement, and revolutionizing… Read More

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

Open AccessReview
12 Pages, 4,617 KB Download PDF
A Bibliometric Analysis Review on Energy Optimization while Designing Wireless Sensor Networks

by Makwena Idah Masopoga, Mbuyu Sumbwanyambe, Zenghui Wang and Nthambeleni Reginald Netshikweta
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 81-92, 2024; DOI: 10.55708/js0311007
Abstract: Energy optimisation algorithms play an essential role in reducing energy usage. Hence, it is mandatory to identify current themes and predict future research study in energy optimisation algorithms (EOAs) in wireless sensor networks (WSNs). Several reviews have been conducted on energy optimisation algorithms (EOAs) in WSNs, although many focused on narrative reviews. This study focuses… Read More

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

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 Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Mathematical and Computational Biology (MCB))

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 2024 and 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))

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 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))

Open AccessArticle
13 Pages, 1,026 KB Download PDF
Graph-based Tool for Bandwidth Estimation, Health Monitoring and Update Planning in Broadband Networks

by Gian Paolo Jesi and Andrea Odorizzi
Journal of Engineering Research and Sciences, Volume 2, Issue 4, Page # 1-13, 2023; DOI: 10.55708/js0204001
Abstract: This paper focuses on the genesis and evolution of our specific Company tool. It is aimed to tackle the problem of verifying the health status and availability of residual bandwidth between any node over the Lepida ScpA broadband network. In fact, there must be a correspondence between active contractual obligations signed by local network operators… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-23 and the Section Telecommunications (TEL))

Open AccessArticle
8 Pages, 2,222 KB Download PDF
Real-Time Acquisition and Classification of Electrocardiogram Signal

by Sheikh Md. Rabiul Islam, Akram Hossain and Asif Abdullah
Journal of Engineering Research and Sciences, Volume 1, Issue 11, Page # 8-15, 2022; DOI: 10.55708/js0111002
Abstract: Cardiovascular disease (CVD) is the leading cause of death. The transition in cardiovascular disease threatens the economies of the less developed world. An electrocardiogram (ECG) machine is a device that checks the patient's heart rhythm and electrical activity. ECG signals give crucial information about the heart and numerous cardiac problems, such as coronary artery disease,… Read More

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

Open AccessArticle
12 Pages, 1,856 KB Download PDF
Hybrid Frameworks for the Multi-objective Optimization of Distributed Generation Units and Custom Power Devices with Simultaneous Distribution Network Reconfiguration

by Pamela Ramsami and Robert Tat Fung Ah King
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 186-197, 2022; DOI: 10.55708/js0105020
Abstract: The increased penetration of renewable energy sources in the distribution system affects the stability and efficiency of the system. To account for the intermittent nature of these sources, distribution network reconfiguration and the integration of custom power devices are important. This paper aims to identify the optimum location of photovoltaic systems and unified power quality… Read More

(This article belongs to the Section Electronic Engineering (EEE))

Open AccessArticle
12 Pages, 1,881 KB Download PDF
Competency Manifestation Clues within Interactions in Computer Mediated Communication

by Hocine Merzouki, Nada Matta, Hassan Atifi and Francois Rauscher
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 167-178, 2022; DOI: 10.55708/js0105018
Abstract: The notion of competence is multidimensional and polysemic. Several definitions of this notion are present in the literature according to disciplines such as industry, sociology, management, psychology, etc. It often refers to the experience, knowledge, abilities, skills, behaviors, and attitudes that allow valuable action in a workplace. Beyond its intrinsic value for the individual, competence… Read More

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

Open AccessArticle
7 Pages, 1,821 KB Download PDF
Offline Signature Verification based on Edge Histogram using Support Vector Machine

by Sunil Kumar Dyavaranahalli Sannappa, Kiran, Sudheesh Kannur Vasudeva Rao and Yashwanth Jagadeesh
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 160-166, 2022; DOI: 10.55708/js0105017
Abstract: Investigation on verification of offline signature has explored a huge sort of techniques on more than one signature datasets, which can be amassed beneath managed conditions. However, these records will not necessarily reflect the characteristics of the signatures in some useful use cases. In this work, introduced a novel feature representation technique called edge histogram… Read More

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

Open AccessArticle
8 Pages, 272 KB Download PDF
Machine Learning Aided Depression Detection in Community Dwellers

by Vijay Kumar, Muskan Khajuria and Anshu Singh
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 17-24, 2022; DOI: 10.55708/js0105002
Abstract: Depression is a mental condition that can have serious negative effects on an individual’s thoughts and nd health problems that could lead to grave heart diseases. Depression detection has become necessary in community dwellers considering the lifestyle being followed. Here we use NHANES dataset to compare the performance of various machine learning algorithms in depression… Read More

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

Open AccessArticle
16 Pages, 2,191 KB Download PDF
Ideas at the Basis of Development of Software for Specific Nuclear Reactor Safety and Design

by Viacheslav Sergeevich Okunev
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 01-16, 2022; DOI: 10.55708/js0105001
Abstract: The main goal of the work was the development of software and codes for the design of new generation nuclear reactors. The problem is solved by the example of fast reactors with a liquid metal coolant. The problem is solved within the framework of system analysis methods and operations drawing methods. Three groups of methods… Read More

(This article belongs to the Section Nuclear Science and Technology (NST))

Open AccessArticle
14 Pages, 3,239 KB Download PDF
An Extreme Learning Machine for Blood Pressure Waveform Estimation using the Photoplethysmography Signal

by Gonzalo Tapia, Rodrigo Salas, Matías Salinas, Carolina Saavedra, Alejandro Veloz, Alexis Arriola, Steren Chabert and Antonio Glaría
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 161-174, 2022; DOI: 10.55708/js0104018
Abstract: Pressure (BP) waveform is a result of the response of the arteries to the blood ejectionproduced by tant indicator of the state of the cardiovascular system. Currently, its measurement is performed invasively in critically ill patients who need a continuous and real time monitoring of their treatment response, however, it is possible to measure the… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Medical Informatics (MDI))

Open AccessArticle
6 Pages, 375 KB Download PDF
Evolutionary Learning of Fuzzy Rules and Application to Forecasting Environmental Impact on Plant Growth

by Chris Nikolopoulos and Ryan Koralik
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 48-53, 2022; DOI: 10.55708/js0104006
Abstract: Prediction of plant growth and yield is one of the essential tasks that enables growers of food and agricultural products to effectively manage their crops. In this paper, a hybrid evolutionary/fuzzy machine learning approach is introduced where a genetic algorithm is deployed to learn the optimum membership functions of relevant fuzzy sets and a knowledge… Read More

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

Open AccessArticle
17 Pages, 5,222 KB Download PDF
Bearing Fault Diagnosis Based on Ensemble Depth Explainable Encoder Classification Model with Arithmetic Optimized Tuning

by Kaibi Zhang, Yanyan Wang and Hongchun Qu
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 81-97, 2022; DOI: 10.55708/js0103009
Abstract: In a dynamic and complex bearing operating environment, current auto-encoder-based deep models for fault diagnosis are having difficulties in adaptation, which usually leads to a decline in accuracy. Besides, the opaqueness of the decision process by such deep models might reduce the reliability of the diagnostic results, which is not conducive to the subsequent optimization… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
14 Pages, 3,120 KB Download PDF
Distributed Approach for the Indoor Deployment of Wireless Connected Objects by the Hybridization of the Voronoi Diagram and the Genetic Algorithm

by Wajih Abdallah, Sami Mnasri and Thierry Val
Journal of Engineering Research and Sciences, Volume 1, Issue 2, Page # 10-23, 2022; DOI: 10.55708/js0102002
Abstract: IoT data collection networks have recently become one of the important research areas due to their fundamental role and wide application in many domains. The establishment of networks of objects is based essentially on the deployment of connected objects to process the collected data and transmit them to the various locations. Subsequently, a large number… Read More

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

Open AccessArticle
9 Pages, 368 KB Download PDF
Neural Networks and Digital Arts: Some Reflections

by Rômulo Augusto Vieira Costa and Flávio Luiz Schiavoni
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # 10-18, 2022; DOI: 10.55708/js0101002
Abstract: The Constant advancement in the area of machine learning has unified some areas that until then di a of computing with the arts in general. With the emergence of digital art, people have become increasingly interested in the development of expressive techniques and algorithms for creating works of art, whether in the form of music,… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Artificial Intelligence – Computer Science (AIC))

Share Link