Expedite quantification of landslides using wireless sensors and artificial intelligence for data controlling practices

Kshirsagar P. R.

Department of Artificial Intelligence, G.H. Raisoni College of Engineering, Nagpur, India pravinrk88@yahoo.com

Manokharan Kh.

Department of Electronics and Communication Engineering, Panimalar Institute of Technology, Punamalli Administrative District, Chennai, India

Kasim S.

Department of Electrical and Computer Engineering, College of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia

Kkhan A. I.

Department of Computer Science, College of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

Alam M. M.

Department of Electrical and Computer Engineering, College of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia

Abushark Yu. B.

Department of Computer Science, College of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

Abera V.

Department of Food Engineering, College of Engineering and Technology, Wolkite University, Wolkite, Ethiopia worku.abera@wku.edu.et

Download article

DOI: 10.58339/2949-0677-2025-7-3-54-67

UDC: 624.131.543; 624.131.3; 004

Funding: The project under which this work was carried out was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under grant D-994-135-1443. Accordingly, the authors express their gratitude to the DSR for its technical and financial support.

For citation: Kshirsagar P.R., Manoharan H., Kasim S., Khan A.I., Alam M.M., Abushark Y.B., Abera W. Operativnaya kolichestvennaya otsenka pokazatelei opolznevoi opasnosti s ispol'zovaniem besprovodnykh datchikov i upravleniya dannymi na osnove iskusstvennogo intellekta (sokr. per. s angl.) [Expedite quantification of landslides using wireless sensors and artificial intelligence for data controlling practices (abridged translation from English into Russian)] // Geoinfo. 2025. T. 7. № 3. S. 54–67. DOI:10.58339/2949-0677-2025-7-3-54-67

Article in RSCI: https://www.elibrary.ru/item.asp?id=85275396

Keywords: landslides; landslide hazard; operational landslide monitoring; landslide prediction; wireless sensors; wireless sensor network; artificial intelligence; machine learning; logistic regression; support vector machine; stochastic gradient descent

30 September 2025