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    Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India by Trinh Quoc Ngo, Nguyen Duc Dam, Nadhir Al-Ansari, Mahdis Amiri, Tran Van Phong, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham

    Published 2021-01-01
    “…Landslides are one of the most devastating natural hazards causing huge loss of life and damage to properties and infrastructures and adversely affecting the socioeconomy of the country. Landslides occur in hilly and mountainous areas all over the world. Single, ensemble, and hybrid machine learning (ML) models have been used in landslide studies for better landslide susceptibility mapping and risk management. …”
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  19. 3859

    Hydrological Behavior of an Infiltration-Induced Landslide in Colorado, USA by Alexandra Wayllace, Barbara Thunder, Ning Lu, Aziz Khan, Jonathan W. Godt

    Published 2019-01-01
    “…Infiltration-induced landslides are common in mountainous and hilly areas of the world. When they occur near transportation corridors, they can impact public safety, impede transport of goods and people, and damage transportation infrastructure. …”
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  20. 3860

    Morphological and Molecular Characterization of Trichoderma Isolates from Vegetable Crop Rhizospheres in Nepal [version 2; peer review: 1 approved, 2 approved with reservations] by Arvind Kumar Keshari, Suraj Baidya, Aashaq Hussain Bhat, Ram B. Khadka, Puja Jaiswal

    Published 2025-01-01
    “…Diversity indices indicated that high mountain regions displayed the highest species diversity and evenness (H = 1.724 [0.28], J = 0.84, D = 0.28), followed by hilly regions (H = 1.563 [0.28], J = 0.72, D = 0.28). …”
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