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Sarrus-inspired deployable polyhedral mechanisms (2024)
Journal Article
Gu, Y., Zhang, X., Wei, G., & Chen, Y. (2024). Sarrus-inspired deployable polyhedral mechanisms. Mechanism and Machine Theory, 193, 105564. https://doi.org/10.1016/j.mechmachtheory.2023.105564

Deployable polyhedral mechanisms (DPMs) have witnessed flourishing growth in recent years because of their potential applications in robotics, space exploration, structure engineering, and so forth. This paper firstly presents the construction, mobil... Read More about Sarrus-inspired deployable polyhedral mechanisms.

Machine Learning in Oil and Gas Exploration: A Review (2024)
Journal Article
Lawal, A., Yang, Y., He, H., & Baisa, N. L. (2024). Machine Learning in Oil and Gas Exploration: A Review. IEEE Access, 12, 19035-19058. https://doi.org/10.1109/access.2023.3349216

A comprehensive assessment of machine learning applications is conducted to identify the developing trends for Artificial Intelligence (AI) applications in the oil and gas sector, specifically focusing on geological and geophysical exploration and re... Read More about Machine Learning in Oil and Gas Exploration: A Review.

Heatwaves in Peninsular Malaysia: a spatiotemporal analysis (2024)
Journal Article
Muhammad, M. K. I., Hamed, M. M., Harun, S., Sa’adi, Z., Sammen, S. S., Al-Ansari, N., …Scholz, M. (in press). Heatwaves in Peninsular Malaysia: a spatiotemporal analysis. Scientific Reports, 14(1), 4255. https://doi.org/10.1038/s41598-024-53960-x

One of the direct and unavoidable consequences of global warming-induced rising temperatures is the more recurrent and severe heatwaves. In recent years, even countries like Malaysia seldom had some mild to severe heatwaves. As the Earth's average te... Read More about Heatwaves in Peninsular Malaysia: a spatiotemporal analysis.

Domain Independent Adaptive Histogram Based Features for Pomegranate Fruit and Leaf Diseases Classification Double blind (2024)
Journal Article
Palaiahnakote, S. (in press). Domain Independent Adaptive Histogram Based Features for Pomegranate Fruit and Leaf Diseases Classification Double blind. #Journal not on list,

Disease identification for fruits and leaves in the field of agriculture is important for estimating production, crop yield and earnings for farmers. In the specific case of pomegranates, this is challenging because of the wide range of possible dise... Read More about Domain Independent Adaptive Histogram Based Features for Pomegranate Fruit and Leaf Diseases Classification Double blind.

Alkali Containing Layered Metal Oxides as Catalysts for the Oxygen Evolution Reaction (2024)
Journal Article
Falsaperna, M., Arrigo, R., Marken, F., & Freakley, S. J. (in press). Alkali Containing Layered Metal Oxides as Catalysts for the Oxygen Evolution Reaction. ChemElectroChem, e202300761. https://doi.org/10.1002/celc.202300761

Improving the efficiency of the oxygen evolution reaction (OER) is essential to realise energy systems based on water electrolysis. Many catalysts have been developed for the OER to date, with iridium‐based oxides being the most promising due to thei... Read More about Alkali Containing Layered Metal Oxides as Catalysts for the Oxygen Evolution Reaction.

‘Bricks and Mortar’: Reflections on teaching Architecture and Design from an early career academic (2024)
Journal Article
Yioutani-Iacovides, M. (2024). ‘Bricks and Mortar’: Reflections on teaching Architecture and Design from an early career academic. Innovative practice in higher education, 5(3 (2024)), 1-27

'Bricks and mortar’ is used as a metaphor for how we endeavour to ‘construct’ knowledge in Architecture and Design. Teaching Architecture and Design is challenging but rewarding; as an early career academic and a mature professional, this paper sets... Read More about ‘Bricks and Mortar’: Reflections on teaching Architecture and Design from an early career academic.

Uni- and tri-axial tests and property characterization for thermomechanical effect on hydrated lime modified asphalt concrete (2024)
Journal Article
Al-Ashaibi, A., Wang, Y., Albayati, A., Weekes, L., & Haynes, J. (2024). Uni- and tri-axial tests and property characterization for thermomechanical effect on hydrated lime modified asphalt concrete. Construction and Building Materials, 418, https://doi.org/10.1016/j.conbuildmat.2024.135307

Permanent deformation, fatigue and thermal cracking are the three typical distresses of flexible pavement. Using hydrated lime (HL) into the conventional limestone mineral additive has been widely practiced, including in Europe, to improve the mechan... Read More about Uni- and tri-axial tests and property characterization for thermomechanical effect on hydrated lime modified asphalt concrete.

Catalytic effects on peristaltic flow of Jeffrey fluid through a flexible porous duct under oblique magnetic field: Application in biomimetic pumps for hazardous materials (2024)
Journal Article
Ajithkumar, M., Kuharat, S., Anwar Bég, O., Sucharitha, G., & Lakshminarayana, P. (in press). Catalytic effects on peristaltic flow of Jeffrey fluid through a flexible porous duct under oblique magnetic field: Application in biomimetic pumps for hazardous materials. Thermal Science and Engineering Progress,

Homogenous and heterogeneous reactions play an essential role in polymer production, combustion, ceramic production, catalysis, distillation, and biochemical procedures. As a result of this advancement, a mathematical model is developed to examine th... Read More about Catalytic effects on peristaltic flow of Jeffrey fluid through a flexible porous duct under oblique magnetic field: Application in biomimetic pumps for hazardous materials.

Coupling remote sensing and eDNA to monitor environmental impact: A pilot to quantify the environmental benefits of sustainable agriculture in the Brazilian Amazon (2024)
Journal Article
Dyson, K., Nicolau, A. P., Tenneson, K., Francesconi, W., Daniels, A., Andrich, G., …Saah, D. (in press). Coupling remote sensing and eDNA to monitor environmental impact: A pilot to quantify the environmental benefits of sustainable agriculture in the Brazilian Amazon. PloS one, 19(2), e0289437. https://doi.org/10.1371/journal.pone.0289437

Monitoring is essential to ensure that environmental goals are being achieved, including those of sustainable agriculture. Growing interest in environmental monitoring provides an opportunity to improve monitoring practices. Approaches that directly... Read More about Coupling remote sensing and eDNA to monitor environmental impact: A pilot to quantify the environmental benefits of sustainable agriculture in the Brazilian Amazon.

Predicting animal abundance through local ecological knowledge: An internal validation using consensus analysis (2024)
Journal Article
Braga‐Pereira, F., Mayor, P., Morcatty, T. Q., Pérez‐Peña, P. E., Bowler, M. T., de Mattos Vieira, M. A. R., …El Bizri, H. R. (in press). Predicting animal abundance through local ecological knowledge: An internal validation using consensus analysis. People and Nature, https://doi.org/10.1002/pan3.10587

Given the ongoing environmental degradation from local to global scales, it is fundamental to develop more efficient means of gathering data on species and ecosystems. Local ecological knowledge, in which local communities can consistently provide in... Read More about Predicting animal abundance through local ecological knowledge: An internal validation using consensus analysis.

Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches (2024)
Journal Article
Kumar, S., Banerjee, S., Ghosh, S., Majumder, S., Mandal, J., Roy, P. K., & Bhattacharyya, P. (2024). Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches. Frontiers of Environmental Science and Engineering, 18(5), https://doi.org/10.1007/s11783-024-1820-7

The present study assesses the concentration, probabilistic risk, source classification, and dietary risk arising from heavy metal (HMs) pollution in agricultural soils affected by coal mining in eastern part of India. Analyses of soil and rice plan... Read More about Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches.

Numerical study of linear and nonlinear stability in double- diffusive Hadley-Prats flow through a horizontal porous layer with soret and internal heat source effects (2024)
Journal Article
Rafeek, M., Reddy, G. J., Matta, A., Basha, H., & Anwar Bég, O. (in press). Numerical study of linear and nonlinear stability in double- diffusive Hadley-Prats flow through a horizontal porous layer with soret and internal heat source effects. Numerical Heat Transfer, Part B Fundamentals,

Numerical analysis is constructed to study the onset of double-diffusion convection mechanism through an infinite parallel permeable channel with heat generation, mass flow and Soret impacts. Homogenous isotropic Darcy's flow model is deployed to elu... Read More about Numerical study of linear and nonlinear stability in double- diffusive Hadley-Prats flow through a horizontal porous layer with soret and internal heat source effects.

Rail Transportation Operation Management Technologies (2024)
Conference Proceeding
An, M., Qin, Y., Jia, L., Yang, J., Diao, L., & Yao, D. (2024). Rail Transportation Operation Management Technologies. In Proceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023. https://doi.org/10.1007/978-981-99-9311-6

This book contains research articles in each chapter related to railway operation management technologies. However, this work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the m... Read More about Rail Transportation Operation Management Technologies.

Computational analysis of magnetized Casson liquid stretching flow adjacent to a porous medium with Joule heating, stratification, multiple slip and chemical reaction aspects (2024)
Journal Article
Nasir, M., Kausar, M., Waqas, M., Anwar Beg, O., Abdullaev, S. S., Saadaoui, S., & Khan, W. A. (in press). Computational analysis of magnetized Casson liquid stretching flow adjacent to a porous medium with Joule heating, stratification, multiple slip and chemical reaction aspects. Numerical Heat Transfer, Part A Applications,

This article aims to investigate the characteristics of thermo-solutal magnetohydrodynamic (MHD) non-Newtonian smart coating boundary layer flow of a stretching substrate adjacent to a porous medium, considering the influence of chemical reactions an... Read More about Computational analysis of magnetized Casson liquid stretching flow adjacent to a porous medium with Joule heating, stratification, multiple slip and chemical reaction aspects.

Design of Track Utilization Plan of High-Speed Railway Passenger Station Based on Offline Sorting (2024)
Conference Proceeding
Zhang, Y., Wang, Y., An, M., Hu, R., & Wang, J. (2024). Design of Track Utilization Plan of High-Speed Railway Passenger Station Based on Offline Sorting. . https://doi.org/10.1007/978-981-99-9311-6_25

Track utilization is an important part of the high-speed railway passenger station operating organization. On account of the idea of off-line sorting, taking the design of the high-speed railway passenger station track utilization plan as the researc... Read More about Design of Track Utilization Plan of High-Speed Railway Passenger Station Based on Offline Sorting.

Intelligent Solar Forecasts: Modern Machine Learning Models and TinyML Role for Improved Solar Energy Yield Predictions (2024)
Journal Article
Hayajneh, A. M., Alasali, F., Salama, A., & Holderbaum, W. (2024). Intelligent Solar Forecasts: Modern Machine Learning Models and TinyML Role for Improved Solar Energy Yield Predictions. IEEE Access, 12, 10846-10864. https://doi.org/10.1109/access.2024.3354703

The advancement of sustainable energy sources necessitates the development of robust forecasting tools for efficient energy management. A prominent player in this domain, solar power, heavily relies on accurate energy yield predictions to optimize pr... Read More about Intelligent Solar Forecasts: Modern Machine Learning Models and TinyML Role for Improved Solar Energy Yield Predictions.

Analytical Review on Potential Use of Waste Engine Oil in Asphalt and Pavement Engineering (2024)
Journal Article
Jwaida, Z., Dulaimi, A., Bahrami, A., Mydin, M. A., Özkılıç, Y., Ramadhansyah Jaya, R., & Wang, Y. (in press). Analytical Review on Potential Use of Waste Engine Oil in Asphalt and Pavement Engineering. Case studies in construction materials, https://doi.org/10.1016/j.cscm.2024.e02930

The article provides a comprehensive overview of the research utilizing waste engine oil (WEO) in asphalt binders for multiple application purposes and the economic and environmental implications. It covers the various types and sources of WEO for in... Read More about Analytical Review on Potential Use of Waste Engine Oil in Asphalt and Pavement Engineering.