Advancing Alzheimer's research: Radiomics visualization of the default mode network in cerebral perfusion imaging
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.14368
Abstract: Abstract Objective Alzheimer's disease, an irreversible neurological condition, demands timely diagnosis for effective clinical intervention. This study employs radiomics analysis to assess image features in default mode network cerebral perfusion imaging among individuals with cognitive… read more here.
Keywords: cerebral perfusion; random forest; perfusion imaging; mode network ... See more keywords
Random forest regression for optimizing variable planting rates for corn and soybean using topographical and soil data
Sign Up to like & getrecommendations! Published in 2020 at "Agronomy Journal"
DOI: 10.1002/agj2.20442
Abstract: Correspondence MichaelA.Gore, PlantBreeding and Genetics Section, School of Integrative Plant Science,CornellUniversity, Ithaca, NY, 14853,USA Email:[email protected] Abstract In recent years, planting machinery that enables precise control of the planting rates has become available for corn (Zea… read more here.
Keywords: corn soybean; rate; soil; random forest ... See more keywords
Random forest regression to predict Farinograph traits from GlutoPeak output in wheat wild relative backcross lines
Sign Up to like & getrecommendations! Published in 2025 at "Cereal Chemistry"
DOI: 10.1002/cche.10860
Abstract: Flour quality is a key target of hard winter wheat breeding. The Farinograph is important for assessing quality before cultivar release in the United States, but large sample size requirements and long test times render… read more here.
Keywords: quality; forest regression; wheat; random forest ... See more keywords
Modelling Salmo trutta Complex Spatial Distribution in Central Italy: A Random Forest Approach Revealing Underrepresented Lowland Populations Based on Spatially‐Explicit Predictors
Sign Up to like & getrecommendations! Published in 2025 at "Ecology and Evolution"
DOI: 10.1002/ece3.71658
Abstract: ABSTRACT Species distribution models are powerful tools to infer ecology and support management of conservation and socio‐economic valuable taxa, such as brown trout ( Salmo trutta complex). Using a random forest approach, we modelled its… read more here.
Keywords: forest approach; distribution; random forest; salmo trutta ... See more keywords
Glioma brain tumor detection and segmentation using weighting random forest classifier with optimized ant colony features
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22331
Abstract: The uncontrolled growth of cells in brain regions leads to the tumor regions and these abnormal tumor regions are scanned by magnetic resonance imaging (MRI) technique as an image. This paper proposes random forest classifier… read more here.
Keywords: methodology; glioma brain; brain; random forest ... See more keywords
New horizon of contrast‐enhanced sonography in the differential diagnosis of periampullary mass: A random forest nomogram
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Clinical Ultrasound"
DOI: 10.1002/jcu.23259
Abstract: Artificial intelligence (AI) in medicine has been widely explored, Specifically, deep learning has been reported to gain excellent achievement on computed tomography (CT) and magnetic resonance (MR) images. Deep learning models can learn the most… read more here.
Keywords: diagnosis; disease; area; random forest ... See more keywords
Optimized random forest model for predicting flexural properties of sustainable composites
Sign Up to like & getrecommendations! Published in 2024 at "Polymer Composites"
DOI: 10.1002/pc.28501
Abstract: In an era of technological advancements, the quest for sustainable products has taken a center stage. The utilization of natural fiber reinforced polymer composites has become crucial in the manufacturing of eco‐friendly products due to… read more here.
Keywords: flexural properties; forest model; random forest; polymer composites ... See more keywords
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data.
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in medicine"
DOI: 10.1002/sim.9353
Abstract: Scientific progress has contributed to creating many devices to gather vast amounts of biomedical data over time. The goal of these devices is generally to monitor people's health conditions, diagnose, and prevent patients' diseases, for… read more here.
Keywords: supervised classification; biomedical signals; classification; functional data ... See more keywords
Culex pipiens distribution in Tunisia: Identification of suitable areas through Random Forest and MaxEnt approaches
Sign Up to like & getrecommendations! Published in 2022 at "Veterinary Medicine and Science"
DOI: 10.1002/vms3.897
Abstract: Abstract Background Tunisia has experienced several West Nile virus (WNV) outbreaks since 1997. Yet, there is limited information on the spatial distribution of the main WNV mosquito vector Culex pipiens suitability at the national level.… read more here.
Keywords: culex pipiens; pipiens distribution; random forest; tunisia ... See more keywords
A Novel Fuzzy Random Forest Model for Meteorological Drought Classification and Prediction in Ungauged Catchments
Sign Up to like & getrecommendations! Published in 2020 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-020-02609-7
Abstract: This paper presents a new tree-based model, namely Fuzzy Random Forest (FRF), for one month ahead Standardized Precipitation Evapotranspiration Index (SPEI) classification and prediction with a noteworthy application in ungauged catchments. The proposed FRF model… read more here.
Keywords: random forest; model; classification; classification prediction ... See more keywords
A random forest-based approach for fault location detection in distribution systems
Sign Up to like & getrecommendations! Published in 2020 at "Electrical Engineering"
DOI: 10.1007/s00202-020-01074-8
Abstract: Finding the fault location in distribution network is difficult in comparison to transmission network based upon high branching and high impedances composed of the contact with environmental factors when a fault occurs. For this matter,… read more here.
Keywords: fault; fault location; random forest; forest based ... See more keywords