All Outputs (735)

Indium tin oxide thin film preparation and property relationship for humidity sensing: a review. (2024)
Journal Article
RAJENDRAN, V., PRATHURU, A., FERNANDEZ, C., SUJATHA, D., PANDA, S.K. and FAISAL, N.H. [2024]. Indium tin oxide thin film preparation and property relationship for humidity sensing: a review. Engineering reports [online], Early View. Available from: https://doi.org/10.1002/eng2.12836

This review aims to present a critical overview of indium tin oxide (ITO) thin film preparation methods, structure–property relationship and its application in humidity sensing. A range of passive and active humidity sensors with thin films (based on... Read More about Indium tin oxide thin film preparation and property relationship for humidity sensing: a review..

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..

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..

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..

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..

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..

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..

Analytical modelling of the hydraulic effect of hydrate deposition on transportability and plugging location in subsea gas pipelines. (2023)
Journal Article
UMUTEME, O.M., ISLAM, S.Z., HOSSAIN, M. and KARNIK, A. 2024. Analytical modelling of the hydraulic effect of hydrate deposition on transportability and plugging location in subsea gas pipelines. Proceedings of the Institution of Mechanical Engineers, Part C: journal of mechanical engineering science [online], 238(10), pages 4840-4865. Available from: https://doi.org/10.1177/09544062231196986

Accurate prediction of the hydraulic effect of hydrate deposition and plug location is critical to the safety and operability of natural gas transport pipelines, especially for gas-dominant subsea pipelines where maintenance and intervention activiti... Read More about Analytical modelling of the hydraulic effect of hydrate deposition on transportability and plugging location in subsea gas pipelines..

AI safety of film capacitors. (2023)
Journal Article
ZHANG, Y.-X., CHEN, F.-Y., LIU, D.-F., WANG, J.-X., FENG, Q.-K., JIANG, H.-Y., WANG, X.-J., ZHAO, H.-B., ZHONG, S.-L., SHAH, F.M. and DANG, Z.-M. [2024]. AI safety of film capacitors. IET nanodielectrics [online], Early View. Available from: https://doi.org/10.1049/nde2.12071

With a large number of film capacitors being deployed in critical locations in electrical and electronic systems, artificial intelligence (AI) technology is also expected to address the problems encountered in this process. According to our findings,... Read More about AI safety of film capacitors..

Solar-powered adsorption-based multi-generation system working under the climate conditions of GCC countries: theoretical investigation. (2023)
Journal Article
EL-SHARKAWY, I.I., HASSAN, M., ABD-ELHADY, M.M., RADWAN, A. and INAYAT, A. 2023. Solar-powered adsorption-based multi-generation system working under the climate conditions of GCC countries: theoretical investigation. Sustainability [online], 15(22), article number 15851. Available from: https://doi.org/10.3390/su152215851

In this study, transient modelling for a solar-powered adsorption-based multi-generation system working under the climatic conditions of the Gulf Cooperation Council (GCC) countries is conducted. Three cities are selected for this study: Sharjah in t... Read More about Solar-powered adsorption-based multi-generation system working under the climate conditions of GCC countries: theoretical investigation..

Start-up dynamics of vertical axis wind turbines: a review. (2023)
Journal Article
LOUGH, J., ASIM, T., COULL, S., MARSHALL, A., ISLAM, S.Z. and AMBER, I. 2023. Start-up dynamics of vertical axis wind turbines: a review. Journal of physics: conference series [online], 2626: proceedings from the 2023 EERA (European Energy Research Alliance) DeepWind conference, 18-20 January 2023, Trondheim, Norway, article 012006. Available from: https://doi.org/10.1088/1742-6596/2626/1/012006

Vertical Axis Wind Turbines (VAWTs) are becoming increasingly popular for wind power extraction due to their simpler design, lower manufacturing and maintenance costs. The omni-directionality of these power generating machines make them more suitable... Read More about Start-up dynamics of vertical axis wind turbines: a review..

Numerical investigation of blade roughness impact on the aerodynamic performance and wake behavior of horizontal axis wind turbine. (2023)
Journal Article
MIAN, H.H., SIDDIQUI, M.S., YANG, L., KVAMSDAL, T. and ASIM, T. 2023. Numerical investigation of blade roughness impact on the aerodynamic performance and wake behavior of horizontal axis wind turbine. Journal of physics: conference series [online], 2626: proceedings from the 2023 EERA (European Energy Research Alliance) DeepWind conference, 18-20 January 2023, Trondheim, Norway, article 012073. Available from: https://doi.org/10.1088/1742-6596/2626/1/012073

The prolonged operation of wind turbines in harsh offshore environments leads to deterioration and roughness accumulation on the blade surface. This roughness, particularly on the leading edge and other surfaces, can affect the laminar-to-turbulent t... Read More about Numerical investigation of blade roughness impact on the aerodynamic performance and wake behavior of horizontal axis wind turbine..

Carbon fibers/nickel nanocomposite particles reinforced ethylene vinyl acetate stretchable conductive polymer: fabrication, microstructure, electrical and mechanical properties. (2023)
Journal Article
DAOUSH, W.M., AL-ZUAIR, A.F., SAHARUDIN, M.S. and INAM, F. [2023]. Carbon fibers/nickel nanocomposite particles reinforced ethylene vinyl acetate stretchable conductive polymer: fabrication, microstructure, electrical and mechanical properties. Carbon letters [online], Online First. Available from: https://doi.org/10.1007/s42823-023-00630-z

Carbon fibers of polyacrylonitrile (PAN) type were coated with nickel nanoparticles using a chemical reduction method in alkaline hydrazine bath. The carbon fibers were firstly heated at 400°C and then chemically treated in hydrochloric acid followed... Read More about Carbon fibers/nickel nanocomposite particles reinforced ethylene vinyl acetate stretchable conductive polymer: fabrication, microstructure, electrical and mechanical properties..

Impact of communication system characteristics on electric vehicle grid integration: a large-scale practical assessment of the UK's cellular network for the Internet of Energy. (2023)
Journal Article
ZEINALI, M., ERDOGAN, N., BAYRAM, I.S. and THOMPSON, J.S. 2023. Impact of communication system characteristics on electric vehicle grid integration: a large-scale practical assessment of the UK's cellular network for the Internet of Energy. Electricity [online], 4(4), pages 309-319. Available from: https://doi.org/10.3390/electricity4040018

The ever-increasing number of plug-in electric vehicles (PEVs) requires appropriate electric vehicle grid integration (EVGI) for charging coordination to maintain grid stability and enhance PEV user convenience. As such, the widespread adoption of el... Read More about Impact of communication system characteristics on electric vehicle grid integration: a large-scale practical assessment of the UK's cellular network for the Internet of Energy..

Photocatalytic conversion of cellulose into C5 oligosaccharides. (2023)
Journal Article
SKILLEN, N., WELGAMAGE, A., ROBERTSON, P.K.J., IRVINE, J.T.S. and LAWTON, L.A. 2023. Photocatalytic conversion of cellulose into C5 oligosaccharides. Journal of physics: energy [online], 6(1), article number 015002. Available from: https://doi.org/10.1088/2515-7655/ad04f1

Cellulose is made up of linear polymers of glucose monomers that could be a crucial source for valuable chemicals and sustainable liquid fuels. Cellulose is however, very stable and its conversion to a useful fuel or platform chemical products remain... Read More about Photocatalytic conversion of cellulose into C5 oligosaccharides..

Quasi-static compression tests of overwrapped composite pressure vessels under low velocity impact. (2023)
Journal Article
MOHAMMED, A.I., RAGHUPATHY, K., BALTAZAR, O.D.V.G., ONOKPASAH, L., CARVALHO, R., MOGENSEN, A., HASSANI, F. and NJUGUNA, J. 2023. Quasi-static compression tests of overwrapped composite pressure vessels under low velocity impact. Composite structures [online], 327, article number 117662. Available from: https://doi.org/10.1016/j.compstruct.2023.117662

Pressure vessels are being utilised in different applications that are indispensable, including automobile, aerospace, underwater vehicles, oil and gas, and chemical engineering among others. However, there is a lack of knowledge on the influence of... Read More about Quasi-static compression tests of overwrapped composite pressure vessels under low velocity impact..