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Remote sensing based forest cover classification using machine learning
Pakistan falls significantly below the recommended forest coverage level of 20 to 30 percent of total area, with less than 6 percent of its land...
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Random forest classification for predicting lifespan-extending chemical compounds
Ageing is a major risk factor for many conditions including cancer, cardiovascular and neurodegenerative diseases. Pharmaceutical interventions that...
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40 years of forest dynamics and tree demography in an intact tropical forest at M’Baïki in central Africa
A vast silvicultural experiment was set up in 1982 nearby the town of M’Baïki in the Central African Republic to monitor the recovery of tropical...
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War drives forest fire risks and highlights the need for more ecologically-sound forest management in post-war Ukraine
Since 24 February 2022, Ukraine has experienced full-scale military aggression initiated by the Russian Federation. The war has had a major negative...
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Land cover and forest health indicator datasets for central India using very-high resolution satellite data
Satellite imagery has been used to provide global and regional estimates of forest cover. Despite increased availability and accessibility of...
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A Random Forest approach to identify metrics that best predict match outcome and player ranking in the esport Rocket League
Notational analysis is a popular tool for understanding what constitutes optimal performance in traditional sports. However, this approach has been...
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Machine learning random forest for predicting oncosomatic variant NGS analysis
Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analyzing variants at each run requires considerable...
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Positive feedbacks and alternative stable states in forest leaf types
The emergence of alternative stable states in forest systems has significant implications for the functioning and structure of the terrestrial...
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Predicting mortality risk for preterm infants using random forest
Mortality is an unfortunately common outcome of extremely and very preterm birth. Existing clinical prediction models capture mortality risk at birth...
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Oropharyngeal cancer patient stratification using random forest based-learning over high-dimensional radiomic features
To improve risk prediction for oropharyngeal cancer (OPC) patients using cluster analysis on the radiomic features extracted from pre-treatment...
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Random survival forest for predicting the combined effects of multiple physiological risk factors on all-cause mortality
Understanding the combined effects of risk factors on all-cause mortality is crucial for implementing effective risk stratification and designing...
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Carbon storage through China’s planted forest expansion
China’s extensive planted forests play a crucial role in carbon storage, vital for climate change mitigation. However, the complex spatiotemporal...
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FSC-certified forest management benefits large mammals compared to non-FSC
More than a quarter of the world’s tropical forests are exploited for timber
1 . Logging impacts biodiversity in these ecosystems, primarily through...
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Harmonised statistics and maps of forest biomass and increment in Europe
Forest biomass is an essential resource in relation to the green transition and its assessment is key for the sustainable management of forest...
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Increasing atmospheric dryness reduces boreal forest tree growth
Rising atmospheric vapour pressure deficit (VPD) associated with climate change affects boreal forest growth via stomatal closure and soil dryness....
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Random Forest Analysis of Land Use and Land Cover Change Using Sentinel-2 Data in Van Yen, Yen Bai Province, Vietnam
Land use land cover (LULC) change has become a crucial topic that needs to be addressed when the studying global and local sustainable development....
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Random forest-based prediction of stroke outcome
We research into the clinical, biochemical and neuroimaging factors associated with the outcome of stroke patients to generate a predictive model...
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A high-resolution daily gridded meteorological dataset for Serbia made by Random Forest Spatial Interpolation
We produced the first daily gridded meteorological dataset at a 1-km spatial resolution across Serbia for 2000–2019, named MeteoSerbia1km. The...
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Regional uniqueness of tree species composition and response to forest loss and climate change
The conservation and restoration of forest ecosystems require detailed knowledge of the native plant compositions. Here, we map global forest tree...
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WebGIS and Random Forest Model for Assessing the Impact of Landslides in Van Yen District, Yen Bai Province, Vietnam
Van Yen district in Yen Bai province of Vietnam is one of the most affected areas indicating high and very high potential of landslide occurrences....