Search

Journal Menu

Journal Browser

Special Issue on Multidisciplinary Sciences and Advanced Technology 2026
Guest Editors: Prof. Paul Andrew
Deadline: December 31, 2026

Special Issue on Advances in Engineering, Computing and Physical Sciences
Guest Editors: Dr. Pallavi Ranja, Dr. Horace Charles Mingo, Dr. Taif Alawsi, Dr. Ercan Atagü, Prof. Sergey V. Parshi, Mr. Hari K.C, Dr. Mohammad Karimi, Prof. Erdal Fıra, Mr. Ginanjar Wiro Sasmito, Dr. Ahmed Salman Ibraheem, Mr. Istiaq Ahmed, Dr. Ku Noor Dhaniah Ku Muhse, Dr. Tan Woan We, Dr. Mohsen Mhadhbi, Dr. Yasir Bu, Dr. Abdelkarim Ballouti, Prof. Noureddine Boumdouha, Dr. Alejandro Medina Santiago, Dr. Priyanka Kajal, Dr. Emmanuel Ampoma Affum, Mr. Rahul Singh, Dr. Kamal Yazzif, Dr. Ziyong Li, Prof. Suroor Moaid Dawood
Deadline: June 30, 2027

Special Issue on Advances in Life, Health and Biomedical Sciences
Guest Editors: Dr. Rajarshi Patel, Dr. Sarah Rajabi, Mr. Shrawan Kumar Singh, Miss Sonia Singla, Miss Sneha Thomas, Mr. Philip Ugbede Ojo Onuche, Dr. Ruchi Pathania, Dr. Ke Zhao, Dr. Omotese I. Oaikhena
Deadline: June 30, 2027

Special Issue on Sustainable Environment, Agriculture, Earth and Society
Guest Editors: Mr. Abdullah All Mamun Anik
Deadline: June 30, 2027

Special Issue on Artificial Intelligence for Energy Transition and Decarbonization 2026
Guest Editors: Dr. Elkhatib Kamal, Dr. Reza Ghorbani, Dr. Ahmed Ragab, Prof. Mohamed Kouki
Deadline: July 31, 2027

Results (4)

Search Parameters:

Keyword: Sciences
Order results
Results per page
Open AccessArticle
9 Pages, 1,068 KB Download PDF
AI-Powered Decision Support in SAP: Elevating Purchase Order Approvals for Optimized Life Sciences Supply Chain Performance

by Vinil Apelagunta and Vishnuvardhan Reddy Tatavandla
Journal of Engineering Research and Sciences, Volume 4, Issue 8, Page # 41-49, 2025; DOI: 10.55708/js0408005
Abstract: Resilient and compliant supply chains, while essential to the Life Sciences, depend heavily upon SAP systems to manage the complexities involved. The standard Purchase Order (PO) approval process in SAP is an important upstream control point in the supply chain, but seldom has the required intelligence needed to manage endorsed compliance (e.g., GxP) or to… Read More

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

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 AccessArticle
10 Pages, 1,485 KB Download PDF
Stakeholder’s Perception of Critical Success Factors for Design-Bid-Build Highway Projects in Nigeria

by Fabi Jonathan Kehinde and Akinseinde Olubola Atanda
Journal of Engineering Research and Sciences, Volume 1, Issue 12, Page # 28-37, 2022; DOI: 10.55708/js0112005
Abstract: Project success factors are germane in achieving project objectives by stakeholders. The research investigates the stakeholder’s perception of project success factors for highway project in Nigeria. Therefore, the specific objectives is to identify and assess factor influencing the success of highway project in Nigeria. To achieve the main objective of this paper, two hundred (200)… Read More

(This article belongs to the Section Construction and Building Technology (CBT))

Open AccessArticle
8 Pages, 2,197 KB Download PDF
Ways to Increase the Efficiency of Sucker Rod Pump Units in Oil Production

by Aliev Telman Abbas, Guluyev Gambar Agaverdi, Rzayev Asif Haji, Aliyev Yaver Gabil, Rezvan Mahammad Huseyn, Yashin Anton Nikolaevich and Khakimyanov Marat Ilgizovich
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 01-08, 2022; DOI: 10.55708/js0103001
Abstract: The article shows that in the middle and late stages of oil field development, of all mechanized methods, the most common is oil extraction by sucker rod pump units (SRPU). However, due to inefficient management of them, their operating costs are increasing. The article presents the results of improving the efficiency of SRPU due to… Read More

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

Share Link