Stability Prediction Model of Transmission Tower Slope Based on ISCSO-SVM DOI Open Access
Zilong Zhang, Xiaoliang Liu, Yanhai Wang

et al.

Electronics, Journal Year: 2024, Volume and Issue: 14(1), P. 126 - 126

Published: Dec. 31, 2024

Landslides induced by heavy rainfall are common in southern China and pose significant risks to the safe operation of transmission lines. To ensure reliability line operations, this paper presents a stability prediction model for tower slopes based on Improved Sand Cat Swarm Optimization (ISCSO) algorithm Support Vector Machine (SVM). The ISCSO is enhanced with dynamic reverse learning triangular wandering strategies, which then used optimize kernel penalty parameters SVM, resulting ISCSO-SVM model. In study, typical slope as case database generated through orthogonal experimental design Geo-studio simulations. addition traditional input features, an additional input—transmission catchment area—is incorporated, stable state set predicted output. results demonstrate that achieves highest accuracy, smallest errors across all metrics. Specifically, compared standard MAPE, MAE, RMSE values reduced 70.96%, 71.41%, 57.37%, respectively. effectively predicts slopes, thereby ensuring

Language: Английский

Geotechnical assessment of the 2023 Jajarkot Nepal Earthquake using field observations and remote sensing DOI
Rajan KC,

Richa Pokhrel,

Prabin Acharya

et al.

Bulletin of Earthquake Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Language: Английский

Citations

3
Geotechnical Characterization of Lacustrine Material of Kathmandu Valley, Nepal DOI

Mandip Subedi,

Keshab Sharma,

K. C. Rajan

et al.

Indian geotechnical journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Language: Английский

Citations

1
Rock Slope Stability Prediction: A Review of Machine Learning Techniques DOI

Arifuggaman Arif,

Chunlei Zhang,

Mahabub Hasan Sajib

et al.

Geotechnical and Geological Engineering, Journal Year: 2025, Volume and Issue: 43(3)

Published: Feb. 18, 2025

Language: Английский

Citations

0
Forensic investigation of roadside cut slope landslide in the lesser Himalayan region of Nepal DOI
Rajan KC,

Kalpana Adhikari,

Kiran Maharjan

et al.

Natural Hazards, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

Citations

0
A critical performance assessment of the machine learning algorithms for slope stability analysis DOI
Satyam Tiwari, Sarat Kumar Das, Madhumita Mohanty

et al.

Neural Computing and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: March 7, 2025

Language: Английский

Citations

0
Detection and prediction of slope stability in unsaturated finite slopes using interpretable machine learning DOI
Kenue Abdul Waris, Md Mamunur Rahaman, B. Munwar Basha

et al.

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(4)

Published: June 4, 2025

Language: Английский

Citations

0
Unraveling the Nexus between Road Transport Infrastructures and Economic Growth: Empirical Insights from Nepal’s Case DOI Creative Commons
Keshab Sharma, Netra Prakash Bhandary,

Mandip Subedi

et al.

Economies, Journal Year: 2024, Volume and Issue: 12(8), P. 221 - 221

Published: Aug. 22, 2024

Sustained efforts and investments in different sectors are essential for the overall development of a region. Various studies around globe underscore importance investment road transport infrastructure many developing countries to achieve their targets. The relationship between economic growth is often found be inconsistent. This ambiguity leads lack consensus on an appropriate scale required among policy makers. So, it necessary depend empirical evidence by causality direction, which significantly contributes implications countries. objective this analytical study Nepal. For this, relevant data from 1998 2022 were used perform unit root test determine order integration, followed cointegration analysis long-run variables. In addition, vector error correction model (VECM) was employed find direction causality. findings indicate unidirectional gross capital formation, exports goods services, expenditure infrastructures, length GDP Furthermore, infrastructures observed have short-run impact growth. recommends that suitable transportation should implemented boost sustainable Nepal-like nations.

Language: Английский

Citations

1
Stability Prediction Model of Transmission Tower Slope Based on ISCSO-SVM DOI Open Access
Zilong Zhang, Xiaoliang Liu, Yanhai Wang

et al.

Electronics, Journal Year: 2024, Volume and Issue: 14(1), P. 126 - 126

Published: Dec. 31, 2024

Landslides induced by heavy rainfall are common in southern China and pose significant risks to the safe operation of transmission lines. To ensure reliability line operations, this paper presents a stability prediction model for tower slopes based on Improved Sand Cat Swarm Optimization (ISCSO) algorithm Support Vector Machine (SVM). The ISCSO is enhanced with dynamic reverse learning triangular wandering strategies, which then used optimize kernel penalty parameters SVM, resulting ISCSO-SVM model. In study, typical slope as case database generated through orthogonal experimental design Geo-studio simulations. addition traditional input features, an additional input—transmission catchment area—is incorporated, stable state set predicted output. results demonstrate that achieves highest accuracy, smallest errors across all metrics. Specifically, compared standard MAPE, MAE, RMSE values reduced 70.96%, 71.41%, 57.37%, respectively. effectively predicts slopes, thereby ensuring

Language: Английский

Citations

0