We present to the readers a slightly abridged and adapted translation of the article “Expedite quantification of landslides using wireless sensors and artificial intelligence for data controlling practices” by Indian and Saudi Arabian researchers. This work was published in the peer-reviewed journal “Computational Intelligence and Neuroscience” by the Hindawi Publishing Corporation under the CC BY 4.0 license. This license permits copying and distributing the article in any medium and format, adapting, modifying, and creating new works based on it for any purpose, including commercial use, provided that the original source is referenced. In our case, the full reference to the original source is provided at the end of the translation.
DOI: 10.58339/2949-0677-2025-7-3-54-67
УДК: 624.131.543; 624.131.3; 004
Финансирование: 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.
Ссылка для цитирования: 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
Ключевые слова: 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