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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

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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 AccessArticle
9 Pages, 2,401 KB Download PDF
NNR Artificial Intelligence Model in Azure for Bearing Prediction and Analysis

by Henry Ogbemudia Omoregbee, Mabel Usunobun Olanipekun and Bright Aghogho Edward
Journal of Engineering Research and Sciences, Volume 2, Issue 6, Page # 1-9, 2023; DOI: 10.55708/js0206001
Abstract: Neural Network regression (NNR) is considered more effective as compared to multiple neural networks model readily available in Azure to evaluate the Remaining Useful Life (RUL) of bearing in this work because it performs better than other models when used and was demonstrated as a non-programing technique for analyzing enormous data without the use of… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2023 and the Section Artificial Intelligence – Computer Science (AIC))

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
15 Pages, 8,025 KB Download PDF
Coding: First Steps from Kindergarten up to Primary School

by Elisa Benetti and Gianluca Mazzini
Journal of Engineering Research and Sciences, Volume 2, Issue 3, Page # 16-30, 2023; DOI: 10.55708/js0203002
Abstract: Computational thinking is now featured in many school curricula around the world. It is in fact defined as the "new English", emphasizing its universally recognized indispensability. Despite this, the subject is almost never addressed until primary school where, however, hours dedicated to it are often too limited. Our first training proposal, including basic coding concepts… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-23 and the Section Education and Educational Research (EER))

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 AccessReview
11 Pages, 1,854 KB Download PDF
IoT Based Smart Physiotherapy System: A Review

by Adil Ali Saleem, Kainat Zafar, Muhammad Amjad Raza, Zahid Kareem, Mui-zzud-din, Hafeez Ur Rehman Siddiqui and Sandra Dudley
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 45-55, 2022; DOI: 10.55708/js0110007
Abstract: During recent years, the increase in the ageing population, the ubiquity of chronic diseases in the world, and the development in technologies have resulted in high demand for efficient healthcare systems. Physical anomalies mostly caused by injury, disease, and ageing lead to limit the regular ability of people to move and function. Primary health care… Read More

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

Open AccessArticle
8 Pages, 527 KB Download PDF
CANClassify: Automated Decoding and Labeling of CAN Bus Signals

by Paul Ngo, Jonathan Sprinkle and Rahul Bhadani
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 5-12, 2022; DOI: 10.55708/js0110002
Abstract: Controller Area Network (CAN) bus data is used on most vehicles today to report and communicate sensor data. However, this data is generally encoded and is not directly interpretable by simply viewing the raw data on the bus. However, it is possible to decode CAN bus data and reverse engineer the encodings by leveraging knowledge… 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
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
6 Pages, 617 KB Download PDF
Effective Approach Experience for Practical Training using Web-Based Platforms and Tools in the Context of the COVID-19 Pandemic

by Radoslav Hrischev
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 22-27, 2022; DOI: 10.55708/js0104003
Abstract: This article is a result of the need to quickly and efficiently organize distance learning for students during the pandemic caused by COVID-19. Some e-learning opportunities provided by internet technologies, web-based platforms, online engineering tools are presented. Examples of training students in business information systems based on learning platforms and demo systems are presented, as… Read More

(This article belongs to the Section Education and Educational Research (EER))

Open AccessArticle
13 Pages, 11,123 KB Download PDF
Text-Based Traffic Panels Detection using the Tiny YOLOv3 Algorithm

by Saba Kheirinejad, Noushin Riahi and Reza Azmi
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 68-80, 2022; DOI: 10.55708/js0103008
Abstract: Lately, traffic panel detection has been engrossed by academia and industry. This study proposes a new categorization method for traffic panels. The traffic panels are classified into three classes: symbol-based, text-based, and supplementary/additional traffic panels. Although few types of research have investigated text-based traffic panels, this type is considered in detail in this study. However,… 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, 4,776 KB Download PDF
Prakriti: A Gamified Approach to Saving Water

by Tathagata Bhattacharya, Xiaopu Peng, Ishita Joshi, Ting Cao, Jianzhou Mao and Xiao Qin
Journal of Engineering Research and Sciences, Volume 1, Issue 2, Page # 33-40, 2022; DOI: 10.55708/js0102004
Abstract: Prakriti is a Sanskrit word which signifies Mother Nature. Our game Prakriti is designed to educate people about how they can save water resources and contribute to freshwater resources. This is a multiplayer game designed to set a thrilling, challenging and dramatic effect on the players. The game consists of its formal and dramatic elements.… Read More

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

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))

Open AccessArticle
9 Pages, 7,721 KB Download PDF
Visual Slam-Based Mapping and Localization for Aerial Images

by Onur Eker, Hakan Cevikalp and Hasan Saribas
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # 01-09, 2022; DOI: 10.55708/js0101001
Abstract: Fast and accurate observation of an area in disaster scenarios such as earthquake, flood and avalanche is crucial for first aid teams. Digital surface models, orthomosaics and object detection algorithms can play an important role for rapid decision making and response in such scenarios. In recent years, Unmanned Aerial Vehicles (UAVs) have become increasingly popular… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Automation and Control Systems (ACS))

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