Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25) - 00 Articles
Journal of Engineering Research and Sciences, Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25), Page # i-i, 2024-25
Journal of Engineering Research and Sciences, Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25), Page # i-i, 2024-25
by ABC and DEF
Journal of Engineering Research and Sciences, Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25), Page # i-i, 2024-25
Journal of Engineering Research and Sciences, Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25), Page # i-i, 2024-25
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 utilized Fourier transform to enable precise determination of the information needed to perform a performer’s music, such as touch power, speed, and pedals… Read More
(This article belongs to the Special Issue Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25) & Section Physics and Astronomy: Acoustics (ACO))
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 of measuring water quality while assessing its potability with high levels of accuracy; thus, ensuring that water meets the set standards based on the required sector of utilization… Read More
(This article belongs to the Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25) & Section Computer Science and Information Technology: Artificial Intelligence – Computer Science (AIC))
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, the geometry of the injected part is taken into consideration when selecting the position of the sensors… Read More
(This article belongs to the Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25) & Section Engineering and Technology: Manufacturing Engineering (MNE))
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 high speed and accuracy. … Read More
(This article belongs to the Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25) & Section Remote Sensing and Geophysics: Remote Sensing (RMS))