Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Abdullah M Alamri"'
Autor:
Mikhlid H Almutairi, Turki M Alrubie, Alaa T Alshareeda, Nada Albarakati, Alhomidi Almotiri, Abdullah M Alamri, Bader O Almutairi, Mohammad Alanazi
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0307724 (2024)
Colon cancer (CC) is a significant cause of death worldwide, particularly in Saudi Arabia. To increase the accuracy of diagnosis and treatment, it is important to discover new specific biomarkers for CC. The main objectives of this research are to id
Externí odkaz:
https://doaj.org/article/648dd2b1cd674f71939be0879030cd04
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 198-221 (2021)
Coastal Bangladesh is one of the hotspots of tropical cyclone’s landfall in South Asia. A spatial vulnerability assessment is required to formulate disaster risk reduction strategies. This study develops a comprehensive tropical cyclone vulnerabili
Externí odkaz:
https://doaj.org/article/1d22703537694087820f3b53dd993108
Autor:
Sunil Saha, Gopal Chandra Paul, Biswajeet Pradhan, Khairul Nizam Abdul Maulud, Abdullah M. Alamri
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 29-62 (2021)
The rapid expansion of human settlement, agricultural land and roads because of population growth in several regions of the world has contributed to the depletion of forest land. In this study, novel ensemble intelligent approaches using bagging, dag
Externí odkaz:
https://doaj.org/article/83a927bf595e4e5dbe98a872ac692b66
Autor:
Tusar Kanti Hembram, Sunil Saha, Biswajeet Pradhan, Khairul Nizam Abdul Maulud, Abdullah M. Alamri
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 794-828 (2021)
The present research intended to assess the robustness of three popular machine learning models, i.e. random forest (RF), boosted regression tree (BRT) and naïve bayes (NB) in spatial gully erosion susceptibility modelling in Jainti River basin, Ind
Externí odkaz:
https://doaj.org/article/86760c3d3ca44d2dba2200626000e0a9
Autor:
Sunil Saha, Barnali Kundu, Gopal Chandra Paul, Kaustuv Mukherjee, Biswajeet Pradhan, Abhirup Dikshit, Khairul Nizam Abdul Maulud, Abdullah M. Alamri
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 123-153 (2021)
Droughts can be regarded as one of the most spatially complex geohazards, causing a severe impact on socio-economic aspects. Preparing a comprehensive drought management plan is necessary to mitigate drought risks, and the first step towards achievin
Externí odkaz:
https://doaj.org/article/97d05a41c4f4499f94a8bb276a8df202
Autor:
Minu Treesa Abraham, Neelima Satyam, Nakshatram Shreyas, Biswajeet Pradhan, Samuele Segoni, Khairul Nizam Abdul Maulud, Abdullah M. Alamri
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 540-559 (2021)
This study proposes a regional landslide early warning system for Idukki (India), using a decisional algorithm. The algorithm forecasts the possibility of occurrence of landslide by comparing the rainfall thresholds with the cumulated rainfall values
Externí odkaz:
https://doaj.org/article/c4ee3e87bc88473e99a9799ed9f542e9
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 3035-3062 (2021)
Gully erosion is an erosive process that contributes considerably to the shape of the earth’s surface and is a major contributor to land degradation and soil loss. This study applied a methodology for mapping gully erosion susceptibility using only
Externí odkaz:
https://doaj.org/article/a4f3cee1e20f41c5979b521a89d6b7af
Autor:
Imane Serbouti, Mohammed Raji, Mustapha Hakdaoui, Biswajeet Pradhan, Chang-Wook Lee, Abdullah M. Alamri
Publikováno v:
IEEE Access, Vol 9, Pp 119262-119278 (2021)
Mapping lithological units of an area using remote sensing data can be broadly grouped into pixel-based (PBIA), sub-pixel based (SPBIA) and object-based (GEOBIA) image analysis approaches. Since it is not only the datasets adequacy but also the corre
Externí odkaz:
https://doaj.org/article/dd99a304a3154231be89e850bb19341c
Publikováno v:
Journal of King Saud University: Science, Vol 32, Iss 3, Pp 2112-2121 (2020)
In the current study, the geotechnical properties of the near-surface geological units are collected, tested, correlated, evaluated, and then mapped. In addition, the groundwater level is estimated through comprehensive geotechnical investigations co
Externí odkaz:
https://doaj.org/article/e33239af76ee4c2b93f74dcfe41f6e7c
Autor:
Biswajeet Pradhan, Husam A. H. Al-Najjar, Maher Ibrahim Sameen, Mustafa Ridha Mezaal, Abdullah M. Alamri
Publikováno v:
IEEE Access, Vol 8, Pp 121942-121954 (2020)
This study proposes a new landslide detection technique that is semi-automated and based on a saliency enhancement approach. Unlike most of the landslide detection techniques, the approach presented in this paper is simple yet effective and does not
Externí odkaz:
https://doaj.org/article/09a152c2814c4ce785c3ff005b01deb6