Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[PDF][PDF] Adoption of machine learning techniques in ecology and earth science
A Thessen - One Ecosystem, 2016 - oneecosystem.pensoft.net
This is largely due to 1) a lack of communication and collaboration between the machine
learning research community and natural scientists, 2) a lack of communication about …
learning research community and natural scientists, 2) a lack of communication about …
Application of machine-learning methods in forest ecology: recent progress and future challenges
Machine learning, an important branch of artificial intelligence, is increasingly being applied
in sciences such as forest ecology. Here, we review and discuss three commonly used …
in sciences such as forest ecology. Here, we review and discuss three commonly used …
Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector …
Map** of patterns and spatial distribution of land-use/cover (LULC) has long been based
on remotely sensed data. In the recent past, efforts to improve the reliability of LULC maps …
on remotely sensed data. In the recent past, efforts to improve the reliability of LULC maps …
Sampling and modelling rare species: Conceptual guidelines for the neglected majority
Biodiversity conservation faces a methodological conundrum: Biodiversity measurement
often relies on species, most of which are rare at various scales, especially prone to …
often relies on species, most of which are rare at various scales, especially prone to …
A machine learning framework for multi-hazards modeling and map** in a mountainous area
This study sought to produce an accurate multi-hazard risk map for a mountainous region of
Iran. The study area is in southwestern Iran. The region has experienced numerous extreme …
Iran. The study area is in southwestern Iran. The region has experienced numerous extreme …
Using deep learning to predict plant growth and yield in greenhouse environments
Effective plant growth and yield prediction is an essential task for greenhouse growers and
for agriculture in general. Develo** models which can effectively model growth and yield …
for agriculture in general. Develo** models which can effectively model growth and yield …
[HTML][HTML] Classification and map** of paddy rice by combining Landsat and SAR time series data
Rice is an important food resource, and the demand for rice has increased as population
has expanded. Therefore, accurate paddy rice classification and monitoring are necessary …
has expanded. Therefore, accurate paddy rice classification and monitoring are necessary …
Map** and Monitoring of the Invasive Species Dichrostachys cinerea (Marabú) in Central Cuba Using Landsat Imagery and Machine Learning (1994–2022)
Invasive plants are a serious problem in island ecosystems and are the main cause of the
extinction of endemic species. Cuba is located within one of the hotspots of global …
extinction of endemic species. Cuba is located within one of the hotspots of global …
High-resolution topographic variables accurately predict the distribution of rare plant species for conservation area selection in a narrow-endemism hotspot in New …
Species distribution models (SDMs) represent a widely acknowledged tool to identify priority
areas on the basis of occurrence data and environmental factors. However, high levels of …
areas on the basis of occurrence data and environmental factors. However, high levels of …
Presence-only species distribution models are sensitive to sample prevalence: Evaluating models using spatial prediction stability and accuracy metrics
Species distribution modelling (SDM) is an important tool for ecologists, but different
algorithms and different sampling strategies produce different results. Using virtual species …
algorithms and different sampling strategies produce different results. Using virtual species …