An intelligent hybridized computing technique for the prediction of roadway traffic noise in urban environment
A reliable traffic noise prediction model is one of the decision-making tools used in providing
a noise friendly environment. In this study, four linear–nonlinear hybrid models were …
a noise friendly environment. In this study, four linear–nonlinear hybrid models were …
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 …
Development of hybrid models for shear resistance prediction of grouped stud connectors in concrete using improved metaheuristic optimization techniques
J Zhu, AIB Farouk - Structures, 2023 - Elsevier
Shear connectors are essential in ensuring a composite action in steel–concrete structures.
An accurate estimation of the shear resistance of group stud connectors (GSC) is crucial for …
An accurate estimation of the shear resistance of group stud connectors (GSC) is crucial for …
A Hybrid Soft Computing Approach for Prediction of Cloud-Based Learning Management Systems Determinants
YB Mohammed, N Cavus, A Ya'u Gital… - … Journal of Human …, 2024 - Taylor & Francis
A robust, accurate and reliable approach is essential for not only examining people's
acceptance of cloud-based learning management systems in developing nations but also for …
acceptance of cloud-based learning management systems in developing nations but also for …
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 Intelligent Approach for Predicting Mechanical Properties of High-Volume Fly Ash (HVFA) Concrete
Plastic waste (PW) is a major soild waste, which its generation continues to increase
globally year in and year out. Proper management of the PW is still a challenge due to its …
globally year in and year out. Proper management of the PW is still a challenge due to its …
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 …
Traffic noise modelling at intersections in mid-sized cities: an artificial neural network approach
Traffic noise has emerged as one major environmental concern, which is causing a severe
impact on the health of urban dwellers. This issue becomes more critical near intersections …
impact on the health of urban dwellers. This issue becomes more critical near intersections …
A modeling approach for suitability evaluation of traffic noise prediction under mixed traffic situation in mid-sized Indian cities
An efficient traffic noise prediction model is a decision-making tool for creating a peaceful
environment. Despite the escalating concerns regarding traffic noise in India, limited …
environment. Despite the escalating concerns regarding traffic noise in India, limited …
Short-term traffic flow prediction in heterogeneous traffic conditions using Gaussian process regression
Bharti, B Naheliya, K Kumar - International Journal of Information …, 2024 - Springer
In recent decades, there has been substantial population growth, leading to a higher volume
of vehicles on the roadways. This has contributed to traffic congestion issues, affecting not …
of vehicles on the roadways. This has contributed to traffic congestion issues, affecting not …