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Outputs (207)

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. (2024). Analytical Review on Potential Use of Waste Engine Oil in Asphalt and Pavement Engineering. Case studies in construction materials, 20, 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.

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.

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.

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.