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

и другие.

Electronics, Год журнала: 2024, Номер 14(1), С. 126 - 126

Опубликована: Дек. 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

Язык: Английский

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

Richa Pokhrel,

Prabin Acharya

и другие.

Bulletin of Earthquake Engineering, Год журнала: 2025, Номер unknown

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

3

Geotechnical Characterization of Lacustrine Material of Kathmandu Valley, Nepal DOI

Mandip Subedi,

Keshab Sharma,

K. C. Rajan

и другие.

Indian geotechnical journal, Год журнала: 2025, Номер unknown

Опубликована: Фев. 3, 2025

Язык: Английский

Процитировано

1

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

Arifuggaman Arif,

Chunlei Zhang,

Mahabub Hasan Sajib

и другие.

Geotechnical and Geological Engineering, Год журнала: 2025, Номер 43(3)

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

0

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

Kalpana Adhikari,

Kiran Maharjan

и другие.

Natural Hazards, Год журнала: 2025, Номер unknown

Опубликована: Март 6, 2025

Язык: Английский

Процитировано

0

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

и другие.

Neural Computing and Applications, Год журнала: 2025, Номер unknown

Опубликована: Март 7, 2025

Язык: Английский

Процитировано

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

и другие.

Modeling Earth Systems and Environment, Год журнала: 2025, Номер 11(4)

Опубликована: Июнь 4, 2025

Язык: Английский

Процитировано

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

и другие.

Economies, Год журнала: 2024, Номер 12(8), С. 221 - 221

Опубликована: Авг. 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.

Язык: Английский

Процитировано

1

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

и другие.

Electronics, Год журнала: 2024, Номер 14(1), С. 126 - 126

Опубликована: Дек. 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

Язык: Английский

Процитировано

0