Outputs (80)

An exploratory study on wind speed profiling of high-rise building/monument using EnviMET. (2023)
Journal Article
ZAKARIA, N.H., SALLEH, S.A., ISA, N.A., CHAN, A., OOI, M.C.G. and ASMAT, A. 2023. An exploratory study on wind speed profiling of high-rise building/monument using EnviMET. Malaysian construction research journal [online], 20(3): special issue for 6th International conference on research methodology for built environment and engineering 2023 (ICRMBEE 2023), 28 February - 2 March 2023, pages 123-137. Available from: https://www.cream.my/prod/mcrj-special-issue-volume-20-no-3-2023-

Envi-MET is a useful tool for simulating wind speed at building heights and modelling microclimatic conditions around buildings, including wind speed around buildings and other structures. Envi-MET is used in this study to simulate wind speed toward... Read More about An exploratory study on wind speed profiling of high-rise building/monument using EnviMET..

A comprehensive review on the potential of green hydrogen in empowering the low-carbon economy: development status, ongoing trends and key challenges. (2023)
Journal Article
ATTEYA, A.I., ALI, D., HOSSAIN, M. and SELLAMI, N. 2023. A comprehensive review on the potential of green hydrogen in empowering the low-carbon economy: development status, ongoing trends and key challenges. Green energy and environmental technology [online], 2. Available from: https://doi.org/10.5772/geet.23

Green hydrogen is currently considered a key element for delivering free-carbon energy. This paper provides an extensive assessment of the potential of green hydrogen technology as a pathway to the low-carbon economy while highlighting the major tech... Read More about A comprehensive review on the potential of green hydrogen in empowering the low-carbon economy: development status, ongoing trends and key challenges..

Municipal solid waste air gasification using waste marble powder as a catalyst for syngas production. (2023)
Journal Article
AMIN, N., KHAN, Z., RAZZAQ, A., GHAURI, M., KHURRAM, S., INAYAT, A., JAFFERY, M. and HAMEED, Z. 2024. Municipal solid waste air gasification using waste marble powder as a catalyst for syngas production. Journal of the Energy Institute [online], 113, article number 101496. Available from: https://doi.org/10.1016/j.joei.2023.101496

Waste marble powder (WMP), the main pollutant in the marble processing industry, is predominantly composed of calcite. Its rich calcium-based nature, derived from calcite, positions it as an excellent source for a CO2 sorbent, making it highly conduc... Read More about Municipal solid waste air gasification using waste marble powder as a catalyst for syngas production..

Multiple decomposition-aided long short-term memory network for enhanced short-term wind power forecasting. (2023)
Journal Article
BALCI, M., DOKUR, E., YUZGEC, U. and ERDOGAN, N. [2024]. Multiple decomposition-aided long short-term memory network for enhanced short-term wind power forecasting. IET renewable power generation [online], Early View. Available from: https://doi.org/10.1049/rpg2.12919

With the increasing penetration of grid-scale wind energy systems, accurate wind power forecasting is critical to optimizing their integration into the power system, ensuring operational reliability, and enabling efficient system asset utilization. A... Read More about Multiple decomposition-aided long short-term memory network for enhanced short-term wind power forecasting..

Improved model order reduction techniques with error bounds. (2023)
Journal Article
BASHRAT, S., IMRAN, M., AKRAM, S., WAKEEL, A., BAIG, N.A. and UD-DIN, A.Z. 2024. Improved model order reduction techniques with error bounds. International journal of systems science [online], 55(4), pages 687-700. Available from: https://doi.org/10.1080/00207721.2023.2293683

This paper introduces two enhanced model order reduction techniques designed for scenarios involving frequency-weighted and frequency-limited-interval Gramians in the continuous-time domain. The primary objective is to address the instability issue i... Read More about Improved model order reduction techniques with error bounds..

Advancing security in IoT-driven critical infrastructure: a focus on smart transportation system. (2023)
Journal Article
JIMOH, H.O., ABOLLE-OKOYEAGU, C.J., AHMED, M.O. and LAWAL, N.O. 2023. Advancing security in IoT-driven critical infrastructure: a focus on smart transportation system. American journal of engineering research [online], 12(12), pages 33-46. Available from: https://www.ajer.org/papers/Vol-12-issue-12/12123346.pdf

As new technological platforms such as the Internet of Things (IoT), blockchain, Artificial Intelligence (AI) and Machine Learning (ML) are gradually emerging and being integrated into critical infrastructures which are subjected to digital attacks.... Read More about Advancing security in IoT-driven critical infrastructure: a focus on smart transportation system..

Machine learning model of acoustic signatures: towards digitalised thermal spray manufacturing. (2023)
Journal Article
VISWANATHAN, V., MCCLOSKEY, A., MATHUR, R., NGUYEN, D.T., FAISAL, N.H., PRATHURU, A., LLAVORI, I., MURPHY, A., TIWARI, A., MATTHEWS, A., AGRAWAL, A. and GOEL, S. 2024. Machine learning model of acoustic signatures: towards digitalised thermal spray manufacturing. Mechanical systems and signal processing [online], 208, article number 111030. Available from: https://doi.org/10.1016/j.ymssp.2023.111030

Thermal spraying, an important industrial surface manufacturing process in sectors such as aerospace, energy and biomedical, remains a skill intensive process often involving multiple trial runs impacting the yield. The core research challenge in dig... Read More about Machine learning model of acoustic signatures: towards digitalised thermal spray manufacturing..

Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis. (2023)
Journal Article
AHMMED, S., PODDER, P., MONDAL, M.R.H., RAHMAN, S.M.A., KANNAN, S., HASAN, M.J., ROHAN, A. and PROSVIRIN, A.E. 2023. Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis. Biomedinformatics [online], 3(4), pages 1124-1144. Available from: https://doi.org/10.3390/biomedinformatics3040068

This study focuses on leveraging data-driven techniques to diagnose brain tumors through magnetic resonance imaging (MRI) images. Utilizing the rule of deep learning (DL), we introduce and fine-tune two robust frameworks, ResNet 50 and Inception V3,... Read More about Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis..

Design and fabrication of a wrist splint for burn patient rehabilitation using 3D printing technologies. (2023)
Journal Article
CANN, C. and SAHARUDIN, M.S. 2023. Design and fabrication of a wrist splint for burn patient rehabilitation using 3D printing technologies. Journal of physics: conference series [online], 2643: proceedings of the 8th International conference on applications and design in mechanical engineering 2023 (ICADME 2023), 4-5 September 2023, Kuala Lumpur, Malaysia, article 012003. Available from: https://doi.org/10.1088/1742-6596/2643/1/012003

Severe and common injuries involving burns to the hands and wrists can often lead to permanent loss of motion. The issue is exacerbated by the delicate nature of tendons and muscles in the hands, along with the formation of scar tissue. While rehabil... Read More about Design and fabrication of a wrist splint for burn patient rehabilitation using 3D printing technologies..

A summary of artificial lift failure, remedies and run life improvements in conventional and unconventional wells. (2023)
Journal Article
MAHDI, M.A.A., AMISH, M., OLUYEMI, G. and ABDULMONIEM, M. 2023. A summary of artificial lift failure, remedies and run life improvements in conventional and unconventional wells. International journal of innovative science and research technology [online], 8(11), pages 1589-1596. Available from: https://doi.org/10.5281/zenodo.10251115

Artificial lift (AL) systems are crucial for enhancing oil and gas production from reservoirs. However, the failure of these systems can lead to significant losses in production and revenue. This paper explores the different types of AL failures and... Read More about A summary of artificial lift failure, remedies and run life improvements in conventional and unconventional wells..