Skip to main content

Research Repository

Advanced Search

All Outputs (6205)

Multi-Objective Stochastic Paint Optimizer for Solving Dynamic Economic Emission Dispatch with Transmission Loss Prediction Using Random Forest Machine Learning Model (2024)
Journal Article
Sundaram, A., & S. Alkhaldi, N. (2024). Multi-Objective Stochastic Paint Optimizer for Solving Dynamic Economic Emission Dispatch with Transmission Loss Prediction Using Random Forest Machine Learning Model. Energies, 17(4), https://doi.org/10.3390/en17040860

Dynamic economic emission dispatch problems are complex optimization tasks in power systems that aim to simultaneously minimize both fuel costs and pollutant emissions while satisfying various system constraints. Traditional methods often involve sol... Read More about Multi-Objective Stochastic Paint Optimizer for Solving Dynamic Economic Emission Dispatch with Transmission Loss Prediction Using Random Forest Machine Learning Model.

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.

Calcium signaling in endothelial and vascular smooth muscle cells: sex differences and the influence of estrogens and androgens (2024)
Journal Article
Asunción-Alvarez, D., Palacios, J., Ybañez-Julca, R. O., Rodriguez-Silva, C. N., Nwokocha, C., Cifuentes, F., & Greensmith, D. J. (2024). Calcium signaling in endothelial and vascular smooth muscle cells: sex differences and the influence of estrogens and androgens. American journal of physiology. Heart and circulatory physiology, 326(4), H950-H970. https://doi.org/10.1152/ajpheart.00600.2023

Calcium signaling in vascular endothelial cells (ECs) and smooth muscle cells (VSMCs) is essential for the regulation of vascular tone. However, the changes to intracellular Ca2+ concentrations are often influenced by sex differences. Furthermore, a... Read More about Calcium signaling in endothelial and vascular smooth muscle cells: sex differences and the influence of estrogens and androgens.

A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring (2024)
Journal Article
Albaroudi, E., Mansouri, T., & Alameer, A. (2024). A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring. AI and Ethics, 5(1), 383-404. https://doi.org/10.3390/ai5010019

The study comprehensively reviews artificial intelligence (AI) techniques for addressing algorithmic bias in job hiring. More businesses are using AI in curriculum vitae (CV) screening. While the move improves efficiency in the recruitment process, i... Read More about A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring.

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.

Perception of noise from unmanned aircraft systems: Efficacy of metrics for indoor and outdoor listener positions (2024)
Journal Article
Green, N., Torija, A. J., & Ramos-Romero, C. (2024). Perception of noise from unmanned aircraft systems: Efficacy of metrics for indoor and outdoor listener positions. ˜The œJournal of the Acoustical Society of America (Online), 155(2), 915-929. https://doi.org/10.1121/10.0024522

This paper presents the results of a listening experiment designed to assess annoyance and perceived loudness (PL) for several unmanned aircraft system (UAS) operations, with the listener simulated in indoor and outdoor positions. This research inves... Read More about Perception of noise from unmanned aircraft systems: Efficacy of metrics for indoor and outdoor listener positions.

Impact of urban morphology on Urban Heat Island in Manchester's transit-oriented development (2024)
Journal Article
Elmarakby, E., & Elkadi, H. (2024). Impact of urban morphology on Urban Heat Island in Manchester's transit-oriented development. Journal of Cleaner Production, 434, 140009. https://doi.org/10.1016/j.jclepro.2023.140009

This study delves into the relationship between urban morphology and the Urban Heat Island (UHI) effect in Manchester's transit-oriented development (TOD). Using various analytical methods, including context analysis, remote sensing, SPSS correlation... Read More about Impact of urban morphology on Urban Heat Island in Manchester's transit-oriented development.

A New Approach for Speech Emotion Recognition using Single Layered Convolutional Neural Network (2024)
Journal Article
Vinoth Kumar, V., Palaiahnakote, S., Khan, S. B., & Almusharraf, A. (2024). A New Approach for Speech Emotion Recognition using Single Layered Convolutional Neural Network. Malaysian journal of computer science, 37(1), 89–106. https://doi.org/10.22452/mjcs.vol37no1.5

Creating a computational device to identify human emotions via voice analysis represents a notable achievement in the sector of human-computer interaction, especially within the healthcare domain. We propose a new lightweight model for addressing cha... Read More about A New Approach for Speech Emotion Recognition using Single Layered Convolutional Neural Network.

Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method (2024)
Journal Article
Ramachandran, M., Sundaram, A., Mohammed Ridha, H., & Mirjalili, S. (2024). Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method. Energy Conversion and Management, 299, Article 117831. https://doi.org/10.1016/j.enconman.2023.117831

A reliable methodology is essential for accurately estimating the parameters of PV models, enabling reliable performance evaluations, effective control studies, accurate analysis of partial shading effects, and optimal optimization of Photovoltaic (P... Read More about Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method.

FCA-VBN: Fog computing-based authentication scheme for 5G-assisted vehicular blockchain network (2024)
Journal Article
Ali Almazroi, A., A. Alqarni, M., A. Al-Shareeda, M., H. Alkinani, M., Atallah Almazroey, A., & Gaber, T. (2024). FCA-VBN: Fog computing-based authentication scheme for 5G-assisted vehicular blockchain network. Internet of Things, 25, https://doi.org/10.1016/j.iot.2024.101096

Emerging technology known as intelligent transportation systems allows for seamless two-way communication between moving vehicles and stationary infrastructure. Therefore, core security services in a vehicular network consist of encrypting and trusti... Read More about FCA-VBN: Fog computing-based authentication scheme for 5G-assisted vehicular blockchain network.

HLB Disease Detection in Omani Lime Trees Using Hyperspectral Imaging Based Techniques (2024)
Journal Article
Menezes, J., Dharmalingam, R., & Shivakumara, P. (2024). HLB Disease Detection in Omani Lime Trees Using Hyperspectral Imaging Based Techniques. https://doi.org/10.1007/978-3-031-53085-2_7

In the recent years omani acid lime cultivation and production has been affected by Citrus greening or Huanglongbing (HLB) disease. HLB disease is one of the most destructive diseases for citrus with no remedies or countermeasures to stop the disease... Read More about HLB Disease Detection in Omani Lime Trees Using Hyperspectral Imaging Based Techniques.

Mind, body and blood: advancing green care through innovative methodologies within the field of health geography (2024)
Journal Article
Louise, M., Hardman, M., Michelle, H., & Penny, C. (in press). Mind, body and blood: advancing green care through innovative methodologies within the field of health geography. Cities and Health, 1-11. https://doi.org/10.1080/23748834.2023.2290904

Geography and health disciplines have become inseparable, with our environments effecting our physical health and mental wellbeing, spawning the subdiscipline of Health Geographies. In this paper we argue that radical innovations are needed to fully... Read More about Mind, body and blood: advancing green care through innovative methodologies within the field of health geography.

Inter-Organisational Collaboration Structures and Features to Facilitate Stakeholder Collaboration (2024)
Journal Article
Ganeshu, P., Fernando, T., Therrien, M.-C., & Keraminiyage, K. (in press). Inter-Organisational Collaboration Structures and Features to Facilitate Stakeholder Collaboration. Administrative Sciences, 14(2), 25. https://doi.org/10.3390/admsci14020025

Although inter-organisational collaborative structures play a vital role in determining the level of collaboration among organisations, the identification of required organisational structural types and their features to facilitate fruitful collabora... Read More about Inter-Organisational Collaboration Structures and Features to Facilitate Stakeholder Collaboration.

Oral squamous cell carcinoma detection using EfficientNet on histopathological images (2024)
Journal Article
Albalawi, E., Thakur, A., Ramakrishna, M. T., Bhatia Khan, S., SankaraNarayanan, S., Almarri, B., & Hadi, T. H. (in press). Oral squamous cell carcinoma detection using EfficientNet on histopathological images. Frontiers in Medicine, 10, 1349336. https://doi.org/10.3389/fmed.2023.1349336

Introduction: Oral Squamous Cell Carcinoma (OSCC) poses a significant challenge in oncology due to the absence of precise diagnostic tools, leading to delays in identifying the condition. Current diagnostic methods for OSCC have limitations in accura... Read More about Oral squamous cell carcinoma detection using EfficientNet on histopathological images.

Self-assembling ferritin nanoplatform for the development of infectious hematopoietic necrosis virus vaccine (2024)
Journal Article
Ahmadivand, S., Krpetic, Z., Martínez, M. M., Ordoñez, M. G., Roher, N., & Palić, D. (2024). Self-assembling ferritin nanoplatform for the development of infectious hematopoietic necrosis virus vaccine. Frontiers in Immunology, 15, 1346512. https://doi.org/10.3389/fimmu.2024.1346512

Self-assembling protein nanoparticles are used as a novel vaccine design platform to improve the stability and immunogenicity of safe subunit vaccines, while providing broader protection against viral infections. Infectious Hematopoietic Necrosis vir... Read More about Self-assembling ferritin nanoplatform for the development of infectious hematopoietic necrosis virus vaccine.

The legacy of millennial-scale land-use practices on landscape composition, diversity and slope erosion in the subalpine areas of Eastern Carpathians, Romania (2024)
Journal Article
Florescu, G., Hutchinson, S. M., Gałka, M., Mîndrescu, M., Tanțău, I., Petraș, A., & Feurdean, A. (2024). The legacy of millennial-scale land-use practices on landscape composition, diversity and slope erosion in the subalpine areas of Eastern Carpathians, Romania. Holocene, https://doi.org/10.1177/09596836231219473

We conducted multi-proxy analyses in two subalpine lakes, Lake Gropile, in the Rodna Mountains and Lake Vinderelu in the Maramureș Mountains, the Eastern Carpathians, Romania, to investigate the effect of different land-use practices on landscape com... Read More about The legacy of millennial-scale land-use practices on landscape composition, diversity and slope erosion in the subalpine areas of Eastern Carpathians, Romania.

The transplant rejection response involves neutrophil and macrophage adhesion-mediated trogocytosis and is regulated by NFATc3 (2024)
Journal Article
Zhao, S., Hu, Y., Yang, B., Zhang, L., Xu, M., Jiang, K., …Shen, J. (in press). The transplant rejection response involves neutrophil and macrophage adhesion-mediated trogocytosis and is regulated by NFATc3. Cell Death and Disease, 15(1), 75. https://doi.org/10.1038/s41419-024-06457-4

The anti-foreign tissue (transplant rejection) response, mediated by the immune system, has been the biggest obstacle to successful organ transplantation. There are still many enigmas regarding this process and some aspects of the underlying mechanis... Read More about The transplant rejection response involves neutrophil and macrophage adhesion-mediated trogocytosis and is regulated by NFATc3.

The distribution, fate, and environmental impacts of food additive nanomaterials in soil and aquatic ecosystems. (2024)
Journal Article
Bolan, S., Sharma, S., Mukherjee, S., Zhou, P., Mandal, J., Srivastava, P., …Bolan, N. (in press). The distribution, fate, and environmental impacts of food additive nanomaterials in soil and aquatic ecosystems. #Journal not on list, 916, 170013. https://doi.org/10.1016/j.scitotenv.2024.170013

Nanomaterials in the food industry are used as food additives, and the main function of these food additives is to improve food qualities including texture, flavor, color, consistency, preservation, and nutrient bioavailability. This review aims to p... Read More about The distribution, fate, and environmental impacts of food additive nanomaterials in soil and aquatic ecosystems..

Mathematical modelling of couple stress fluid flow around a semi-permeable sphere enclosing a solid core (2024)
Journal Article
Selvi, R., & Beg, A. (2024). Mathematical modelling of couple stress fluid flow around a semi-permeable sphere enclosing a solid core. ZAMM, https://doi.org/10.1002/zamm.202300225

The focus of this article is to study theoretically the steady-axisymmetric creeping flow dynamics of a couple stress fluid external to a semi-permeable sphere containing a solid core. This problem is motivated by emulsion hydrodynamics in chemical e... Read More about Mathematical modelling of couple stress fluid flow around a semi-permeable sphere enclosing a solid core.