Skip to main content

Research Repository

Advanced Search

All Outputs (289)

Investigating attention mechanisms for plant disease identification in challenging environments. (2024)
Journal Article
Duhan, S., Gulia, P., Gill, N. S., Shukla, P. K., Khan, S. B., Almusharraf, A., & Alkhaldi, N. (2024). Investigating attention mechanisms for plant disease identification in challenging environments. Heliyon, 10(9), e29802. https://doi.org/10.1016/j.heliyon.2024.e29802

There is an increasing demand for efficient and precise plant disease detection methods that can quickly identify disease outbreaks. For this, researchers have developed various machine learning and image processing techniques. However, real-field im... Read More about Investigating attention mechanisms for plant disease identification in challenging environments..

Apicomplexa micropore: history, function, and formation (2024)
Journal Article
Yang, J., Long, S., Hide, G., Lun, Z., & Lai, D. (2024). Apicomplexa micropore: history, function, and formation. Trends in Parasitology, 40(5), S1471-4922(24)00079-5. https://doi.org/10.1016/j.pt.2024.03.008

The micropore, a mysterious structure found in apicomplexan species, was recently shown to be essential for nutrient acquisition in Plasmodium falciparum and Toxoplasma gondii. However, the differences between the micropores of these two parasites qu... Read More about Apicomplexa micropore: history, function, and formation.

Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques (2024)
Journal Article
Shukla, K., Holderbaum, W., Theodoridis, T., & Wei, G. (in press). Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques. Machines, 12(4), 261. https://doi.org/10.3390/machines12040261

Efficient gearbox fault diagnosis is crucial for the cost-effective maintenance and reliable operation of rotating machinery. Despite extensive research, effective fault diagnosis remains challenging due to the multitude of features available for cla... Read More about Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques.

The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction (2024)
Conference Proceeding
Barker, J., Akeroyd, M. A., Bailey, W., Cox, T. J., Culling, J. F., Firth, J., …Naylor, G. (2024). The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction. . https://doi.org/10.1109/icassp48485.2024.10446441

This paper reports on the design and outcomes of the 2nd Clarity Prediction Challenge (CPC2) for predicting the intelligibility of hearing aid processed signals heard by individuals with a hearing impairment. The challenge was designed to promote new... Read More about The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction.

Computation of hydromagnetic tangent hyperbolic non-Newtonian flow from a rotating non- isothermal cone to a non-darcy porous medium with thermal radiative flux (2024)
Journal Article
Abdul Gaffar, S., Anwar Bég, O., Kuharat, S., & Bég, T. A. (2024). Computation of hydromagnetic tangent hyperbolic non-Newtonian flow from a rotating non- isothermal cone to a non-darcy porous medium with thermal radiative flux. #Journal not on list, 19, https://doi.org/10.1016/j.physo.2024.100216

A theoretical and numerical study is conducted on nonlinear, steady-state thermal convection boundary layer flow of a magnetized incompressible Tangent Hyperbolic non-Newtonian fluid from a rotating cone to a non-Darcy porous medium. Power-law variat... Read More about Computation of hydromagnetic tangent hyperbolic non-Newtonian flow from a rotating non- isothermal cone to a non-darcy porous medium with thermal radiative flux.

Early dementia detection with speech analysis and machine learning techniques (2024)
Journal Article
Jahan, Z., Khan, S. B., & Saraee, M. (in press). Early dementia detection with speech analysis and machine learning techniques. #Journal not on list, 5(1), 65. https://doi.org/10.1007/s43621-024-00217-2

This in-depth study journey explores the context of natural language processing and text analysis in dementia detection, revealing their importance in a variety of fields. Beginning with an examination of the widespread and influence of text data. Th... Read More about Early dementia detection with speech analysis and machine learning techniques.

Numerical solutions for magneto-convective boundary layer slip flow from a nonlinear stretching sheet with wall transpiration and thermal radiation effects (2024)
Journal Article
Alzahrani, F., Beg, O., & Ferdows, M. (in press). Numerical solutions for magneto-convective boundary layer slip flow from a nonlinear stretching sheet with wall transpiration and thermal radiation effects. Numerical Heat Transfer, Part A Applications, 1-15. https://doi.org/10.1080/10407782.2022.2163945

A mathematical model is presented for magnetohydrodynamic viscous incompressible flow of an electrically conducting Newtonian polymeric fluid from a moving permeable horizontal stretching sheet with variable magnetic field, momentum and thermal sli... Read More about Numerical solutions for magneto-convective boundary layer slip flow from a nonlinear stretching sheet with wall transpiration and thermal radiation effects.

Impact of suppression of the SOS response on protein expression in clinical isolates of Escherichia coli under antimicrobial pressure of ciprofloxacin (2024)
Journal Article
Recacha, E., Kuropka, B., Díaz-Díaz, S., García-Montaner, A., González-Tortuero, E., Docobo-Pérez, F., …Rodríguez-Martínez, J. M. (in press). Impact of suppression of the SOS response on protein expression in clinical isolates of Escherichia coli under antimicrobial pressure of ciprofloxacin. Frontiers in Microbiology, 15, 1379534. https://doi.org/10.3389/fmicb.2024.1379534

Introduction/objective: Suppression of the SOS response in combination with drugs damaging DNA has been proposed as a potential target to tackle antimicrobial resistance. The SOS response is the pathway used to repair bacterial DNA damage induced by... Read More about Impact of suppression of the SOS response on protein expression in clinical isolates of Escherichia coli under antimicrobial pressure of ciprofloxacin.

Circular Economy in Construction - A Stakeholder Perspective (2024)
Journal Article
Wadee, A., & Ferriz-Papi, J. (2024). Circular Economy in Construction - A Stakeholder Perspective. #Journal not on list, 1-A, 19-27. https://doi.org/10.26341/issn.2241-4002-2024-1a-2-T02055

Natural resources are finite, therefore, their efficient use is necessary for a sustainable future in the construction industry. Making better use of the materials at our disposal is paramount for resource efficiency and environmental impact reductio... Read More about Circular Economy in Construction - A Stakeholder Perspective.

Constructive conservation and cultural identity: Greek Church Manchester (2024)
Conference Proceeding
Yioutani-Iacovides, M. (2024). Constructive conservation and cultural identity: Greek Church Manchester. In AMPS Proceedings SERIES 35.3, Prague – Heritages Past and Present - Built and Social (426-436)

UNESCO’S Convention in 19721 has set the framework for Cultural Heritage protection but current challenges have an impact on preserving and enhancing Cultural Heritage assets’ significance, for people and communities. The Conservation project o... Read More about Constructive conservation and cultural identity: Greek Church Manchester.

A game theoretic approach to wireless body area networks interference control (2024)
Journal Article
Alabdel Abass, A. A., Alshaheen, H., & Takruri, H. (in press). A game theoretic approach to wireless body area networks interference control. IET Wireless Sensor Systems, https://doi.org/10.1049/wss2.12077

In this paper we consider a scenario where there are two wireless body area networks (WBANs) interfere with each other from a game theoretic perspective. In particular, we envision two WBANs playing a potential game to enhance their performance by de... Read More about A game theoretic approach to wireless body area networks interference control.

Disaster scenario optimised link state routing protocol and message prioritisation (2024)
Journal Article
Aliyu, U., Takruri, H., Martin, |., Abubakar, H. |., Gidado, H., Hamid, |., & Adamu, A. (2024). Disaster scenario optimised link state routing protocol and message prioritisation. IET Networks, 1-18. https://doi.org/10.1049/ntw2.12125

Natural and artificial (human‐made) disasters have been steadily increasing all over the world, signifying the importance of providing reliable and energy friendly communication network to survivors in the aftermath of a disaster. On the other hand,... Read More about Disaster scenario optimised link state routing protocol and message prioritisation.

Altered Handwritten Text Detection in Document Images Using Deep Learning (2024)
Journal Article
Patil, G., Palaiahnakote, S., Gornale, S. S., & Lopresti, D. P. (2024). Altered Handwritten Text Detection in Document Images Using Deep Learning. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424520062

Handwritten documents possess immense significance in domains such as law, history, and administration. However, they are vulnerable to forgery, which can undermine their credibility and reliability. This paper aims to establish a dependable techniqu... Read More about Altered Handwritten Text Detection in Document Images Using Deep Learning.

Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research (2024)
Journal Article
Yebra, M., Scortechini, G., Adeline, K., Aktepe, N., Almoustafa, T., Bar-Massada, A., …Younes Cardenas, N. (in press). Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research. Scientific Data, 11(1), 332. https://doi.org/10.1038/s41597-024-03159-6

Globe-LFMC 2.0, an updated version of Globe-LFMC, is a comprehensive dataset of over 280,000 Live Fuel Moisture Content (LFMC) measurements. These measurements were gathered through field campaigns conducted in 15 countries spanning 47 years. In cont... Read More about Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research.

The Use of AI to Analyze Social Media Attacks for Predictive Analytics (2024)
Journal Article
Adekunle, T., Lawrence, M., Alabi, O., Ebong, G., Ajiboye, G., & Bamisaye, T. (in press). The Use of AI to Analyze Social Media Attacks for Predictive Analytics. #Journal not on list, 9(1), 17-24. https://doi.org/10.11648/j.ajomis.20240901.12

Social engineering, on the other hand, presents weaknesses that are difficult to directly quantify in penetration testing. The majority of expert social engineers utilize phishing and adware tactics to convince victims to provide information voluntar... Read More about The Use of AI to Analyze Social Media Attacks for Predictive Analytics.

Seismic Retrofit of Reinforced Concrete Structures Using Fibre Reinforced Polymer (2024)
Book Chapter
Ghosh, A., Ray, C., & Biswas, D. (2024). Seismic Retrofit of Reinforced Concrete Structures Using Fibre Reinforced Polymer. In RC Structures Strengthened with FRP for Earthquake Resistance (177-192). Springer. https://doi.org/10.1007/978-981-97-0102-5_7

Aging and deteriorating infrastructure, and more strict seismic design standards, call for the need of seismic retrofitting. Amongst various seismic retrofit strategies, use of fibre reinforced polymer (FRP) is both effective and advantageous over ma... Read More about Seismic Retrofit of Reinforced Concrete Structures Using Fibre Reinforced Polymer.

Biochar and heavy metals (2024)
Book Chapter
Beesley, L., Cerqueira Cancelo, B., Hardman, M., Lebrun, M., Mitchell, K., & Lukas Trakal, A. (2024). Biochar and heavy metals. In Biochar for Environmental Management: Science and Technology. Earthscan