[HTML][HTML] A novel hybrid optimization approach for fault detection in photovoltaic arrays and inverters using AI and statistical learning techniques: a focus on sustainable …
Fault detection in PV arrays and inverters is critical for ensuring maximum efficiency and
performance. Artificial intelligence (AI) learning can be used to quickly identify issues …
performance. Artificial intelligence (AI) learning can be used to quickly identify issues …
[HTML][HTML] Ensemble hybrid machine learning to simulate dye/divalent salt fractionation using a loose nanofiltration membrane
The escalating quantity of wastewater from multiple sources has raised concerns about both
water reuse and environmental preservation. Therefore, there is a pressing need for …
water reuse and environmental preservation. Therefore, there is a pressing need for …
The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview
This paper reviews the application of artificial intelligence (AI)-based models in modeling
vehicular road traffic noise. A computerized search method was used to conduct the …
vehicular road traffic noise. A computerized search method was used to conduct the …
Hybridization of deep learning, nonlinear system identification and ensemble tree intelligence algorithms for pan evaporation estimation
A reliable pan evaporation (E pan) estimation over a daily scale is vital for sustainable water
and agriculture management, especially for designing water use allocations, irrigation …
and agriculture management, especially for designing water use allocations, irrigation …
An optimized intelligent traffic sign forecasting framework for smart cities
M Kumar, S Ramalingam, A Prasad - Soft Computing, 2023 - Springer
Traffic signs are the globally essential map features for the era of autonomous driving and
smart cities. Traffic sign recognition is a difficult task due to their multiple shapes, sizes …
smart cities. Traffic sign recognition is a difficult task due to their multiple shapes, sizes …
[HTML][HTML] Development of Artificial Intelligence Based Safety Performance Measures for Urban Roundabouts
A reliable model for predicting crash frequency at roundabouts is an essential tool for
evaluating the safety measures of a roundabout. This study developed a hybrid PSO-ANN …
evaluating the safety measures of a roundabout. This study developed a hybrid PSO-ANN …
[HTML][HTML] Enhanced Estimation of Traffic Noise Levels Using Minute-Level Traffic Flow Data through Convolutional Neural Network
W Yu, JC Jang, Y Zhu, J Peng, W Yang, K Li - Sustainability, 2024 - mdpi.com
The advent of high-resolution minute-level traffic flow data from video surveillance on roads
has opened up new opportunities for enhancing the estimation of traffic noise levels. In this …
has opened up new opportunities for enhancing the estimation of traffic noise levels. In this …
[PDF][PDF] Traffic Noise Modeling under Mixed Traffic Condition in Mid-Sized Indian City: A Linear Regression and Neural Network-Based Approach.
Noise pollution is a significant concern in urban settings, caused by traffic increases, urban
expansion, and industrial activity. The transportation sector is a crucial contributor to overall …
expansion, and industrial activity. The transportation sector is a crucial contributor to overall …
A Novel Hybrid Optimization Approach for Fault Detection in PV Arrays and Inverters Using AI and Statistical Learning Techniques: A Focus on Sustainable …
Fault detection in PV arrays and inverters is critical for ensuring maximum efficiency and
performance. Artificial intelligence (AI) learning can be used to quickly identify issues …
performance. Artificial intelligence (AI) learning can be used to quickly identify issues …
The Application of Intelligent Computing and Machine Learning in OPGW Temperature Monitoring and Early Warning System
Y Zhang, G Qiu, Y Feng, Y Jiang - … International Conference on …, 2023 - ieeexplore.ieee.org
The construction scale of transmission lines continues to expand, and the safety, stability
and reliability of their operation have become particularly important. This article proposes a …
and reliability of their operation have become particularly important. This article proposes a …