Special Issue on Computing, Engineering and Sciences 2024-25

The Special Issue on Computing, Engineering and Sciences invites original research articles, review papers, and applied studies that explore the role of computational technologies in solving scientific, engineering, industrial, environmental, and applied technology problems. The issue aims to provide a platform for research that connects computing methods with engineering practice and scientific investigation through modeling, simulation, data analysis, automation, prediction, and system implementation.

This special issue welcomes contributions related to artificial intelligence, machine learning, neural networks, data analytics, software development, signal processing, industrial sensing, manufacturing systems, environmental monitoring, classification models, predictive systems, and applied computational tools. Research may include algorithm development, experimental validation, simulation-based analysis, software implementation, case studies, review studies, or practical applications that demonstrate the use of computing in engineering and science domains.

The issue is particularly interested in studies that apply computational methods to real-world technical problems. Topics may include sound wave analysis, water potability prediction, defect prevention in injection molding, fire type classification, supervised learning methods, neural-network-based prediction, industrial process monitoring, sensor-based quality control, environmental data analysis, and software tools for scientific and engineering applications. Contributions that combine theoretical methods, data-driven analysis, and practical system design are strongly encouraged.

Topics of Interest

Computing in Engineering and Sciences
Artificial Intelligence and Machine Learning
Neural Networks and Predictive Modeling
Supervised Learning Methods
Data Analytics and Classification Systems
Software Development for Engineering Applications
Sound Wave Analysis and Signal Processing
Water Quality and Potability Prediction
Environmental Monitoring Systems
Industrial Sensing and Process Monitoring
Injection Molding Defect Prevention
Cavity Sensing and Manufacturing Quality Control
Fire Type Classification
Safety Monitoring and Risk Analysis
Computational Modeling and Simulation
Data-Driven Decision Support Systems
Applied Scientific Software Tools
Pattern Recognition in Engineering Data
Smart Manufacturing Applications
Sensor-Based Engineering Systems
Automation in Industrial Processes
Engineering Measurement and Analysis
Practical Computing Applications in Science
Applied Technology Development

Keywords

Computing, Engineering, Sciences, Artificial Intelligence, Machine Learning, Neural Networks, Data Analytics, Prediction, Classification, Signal Processing, Sound Wave Analysis, Water Potability, Industrial Sensing, Injection Molding, Fire Classification, Software Development, Environmental Monitoring, Smart Manufacturing, Applied Computing

Manuscript Submission Overview

Submission Process

Manuscripts should be submitted through the JENRS submission system. All submissions that pass the initial editorial and technical screening are sent for independent external peer review. Accepted papers are published online after acceptance and listed together on the special issue website.

Research articles, review articles, and technical notes are invited. For planned papers, a title and short abstract of about 250 words may be sent to the Editorial Office for an initial scope check.

Authors should follow the JENRS online submission steps and provide complete metadata, author information, keywords, and manuscript files.
During online submission, authors should select Special Issue on Computing, Engineering and Sciences 2024-25 in the Special Issue or Selection field. The figure below may be used as a submission reference.
In the cover letter section, the author should specify the special issue topic and any invitation code provided by the Special Issue Editors.

Special issue submission figure

Important Dates

Paper Submission Deadline: closed (April 30, 2025)
Acceptance Notification: 4-6 weeks after submission
Publication Date: 2 weeks after acceptance

Submitted manuscripts must not have been published previously and must not be under consideration elsewhere, except where a related conference version is fully disclosed and properly extended. Authors should review the Instructions for Authors, Editorial Process, Publication Ethics, Open Access Policy, and Publication Fee pages before submission.

Formatting and Language

For initial submission, JENRS journal formatting is not required. The manuscript should be clear, anonymized for review where requested, and organized using the IMRaD structure where applicable: Introduction, Methods, Results, and Discussion.

Submitted papers should be written in good English, use SI units where applicable, define abbreviations at first use, and provide enough technical detail for editorial screening and external peer review.

Benefits of Publishing in this Special Issue

Focused visibility: accepted papers are grouped under a clearly defined JENRS special issue theme.
Easy navigation: readers can access the call, Special Issue Editors, topics, and published papers from one page.
Topic-level discoverability: each article remains linked to the special issue page, section page, DOI, PDF, and article metadata.
Same journal standards: all submissions follow JENRS editorial screening, independent peer review, publication ethics, and final decision rules.
Continuous publication: accepted papers can be published online after acceptance and then listed together under the special issue page.

Special issue submissions follow the same editorial screening, independent peer review, publication ethics, and final decision standards as regular JENRS submissions. Guest Editor involvement does not guarantee acceptance and does not replace independent peer review or final editorial decision-making.

Published Papers (4 papers)

This special issue presents a focused collection of published papers in computing, engineering, and scientific applications. The issue includes research on software development for sound wave analysis, neural-network-based water potability prediction, cavity sensing for defect prevention in injection molding, and supervised machine-learning techniques for fire type classification. Collectively, the published contributions reflect the issue’s emphasis on applied computing, data-driven prediction, industrial sensing, environmental analysis, signal processing, and practical engineering software tools.

Editorial

Front Cover

Journal of Engineering Research and Sciences, Page # i–i, 2024-25

Editorial Board

Journal of Engineering Research and Sciences, Page # ii–ii, 2024-25

Editorial

by Paul Andrew

Journal of Engineering Research and Sciences, Page # iii–iv, 2024-25

Journal of Engineering Research and Sciences, Page # v–v, 2024-25

Articles

Software Development and Application for Sound Wave Analysis

by Eunsung Jekal, Juhyun Ku and Hyoeun Park
Journal of Engineering Research and Sciences, Volume 4, Issue 3, Page # 8-21, 2025; DOI: 10.55708/js0403002
Abstract: In this paper, we developed our own software that can analyze piano performance by using short-time Fourier transform, non-negative matrix decomposition, and root mean square. Additionally, we provided results that reflected the characteristics and signal analysis of various performers for the reliability of the developed software. The software was coded through Python, and it actively… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2024-25 and the Section Acoustics (ACO))

Water Potability Prediction Using Neural Networks

by Ranyah Taha, Fuad Musleh and Abdel Rahman Musleh
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # 1-9, 2025; DOI: 10.55708/js0405001
Abstract: The crucial need for maintaining specific water potability levels depending on the sector of utilization, this is becoming increasingly challenging due to the increased pollution. It is therefore important to have fast and reliable water potability assessment techniques. A subset of Machine Learning (ML); being Deep Learning (DL), can be utilized to develop models capable… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2024-25 and the Section Artificial Intelligence – Computer Science (AIC))

Cavity Sensing for Defect Prevention in Injection Molding

by Oumayma Haberchad and Yassine Salih-Alj
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # 10-19, 2025; DOI: 10.55708/js0405002
Abstract: Real-time monitoring of injection molding parameters plays a pivotal role in enhancing product quality, reducing defects and improving production. This study presents a cavity data acquisition system for real time monitoring of process parameters inside the mold. The system consists of non-destructive in-mold sensors that monitor the status of the melt within the cavities. Furthermore,… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2024-25 and the Section Manufacturing Engineering (MNE))

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))