Soft-computing techniques for predicting seismic bearing capacity of strip footings in slopes

DR Kumar, P Samui, W Wipulanusat… - Buildings, 2023 - mdpi.com
In this study, various machine learning algorithms, including the minimax probability
machine regression (MPMR), functional network (FN), convolutional neural network (CNN) …

Health effects of noise and application of machine learning techniques as prediction tools in noise induced health issues: a systematic review

CP Das, S Goswami, BK Swain, M Das - Environmental and Ecological …, 2024 - Springer
Transportation noise is a widespread environmental problem in today's society. The
continuous movement of different vehicles on urban roads is the primary cause of such …

Traffic noise prediction model using GIS and ensemble machine learning: a case study at Universiti Teknologi Malaysia (UTM) Campus

KY Almansi, U Ujang, S Azri… - … Science and Pollution …, 2024 - Springer
This study represents a pioneering effort to integrate geographic information systems (GIS)
and ensemble machine learning methods to predict noise levels on a university campus …

Modelling traffic noise-induced annoyance at intersections and its association with psychological health

A Yadav, M Parida, P Choudhary, B Kumar - Transportation Research Part …, 2025 - Elsevier
This study develops a model to examine traffic noise-induced annoyance and its mediating
effect on the psychological health of shopkeepers and workers at intersections in mid-sized …

Investigation on multiple traffic noise near an airport and their effect on nearby residents

Q Liu, K Gao, L Song, L Liu, Y Luo - Scientific Reports, 2024 - nature.com
This study investigates the impact of the noise radiated from airplanes, urban rail transit,
high-speed railways, and urban roads on residents near an airport. The results showed that …

Predictive noise annoyance and noise-induced health effects models for road traffic noise in NCT of Delhi, India

BS Chauhan, N Garg, S Tiwari - Noise Map**, 2024 - degruyter.com
The present study analyzed the effect of noise annoyance due to road traffic based on a
comprehensive socio-acoustics survey at a large number of sites in the NCT of Delhi. This …

Evaluating the influence of road construction on landslide susceptibility in Saudi Arabia's mountainous terrain: a Bayesian-optimised deep learning approach with …

S Alqadhi, J Mallick, HT Hang, AFS Al Asmari… - … Science and Pollution …, 2024 - Springer
In the mountainous region of Asir region of Saudi Arabia, road construction activities are
closely associated with frequent landslides, posing significant risks to both human life and …

Assessment and Map** of Noise Pollution Levels in Bus Stands: A Case Study of Haryana State, India

B Singh, PK Saini - MAPAN, 2023 - Springer
Traffic noise is a detrimental consequence of heavy urbanisation that has a negative effect
on the people. The present study focuses on the measurement and map** of noise levels …

[PDF][PDF] Traffic Noise Modeling under Mixed Traffic Condition in Mid-Sized Indian City: A Linear Regression and Neural Network-Based Approach.

R Patel, PK Singh, S Saw - International Journal of Mathematical …, 2024 - researchgate.net
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 …

[PDF][PDF] Statistical analysis based on a two-staged SEM-SVM approach for environmental noise annoyance prediction and identification of influencing factors.

MU Rehman, M Kamal, SK Tiwari - International Journal of …, 2025 - julistb.sinaweb.net
BACKGROUND AND OBJECTIVES: Noise pollution is an environmental stressor that is
mainly caused due to heavy transportation in urban scenarios. Traffic noise is a growing …