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A radiology-based differential diagnostic model for pelvic chondrosarcoma using random forest algorithms
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Xiao Ma et al · Frontiers Media S.A · 2026 · ISSN 2234-943X
ObjectiveTo develop a non-invasive diagnostic method for pelvic chondrosarcoma using clinical and radiological features, aiming to improve early diagnostic accuracy and reduce reliance on invasive biopsies.MethodsTwo hun...
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Analysis of the Use of Random Forest Models to Measuring the Quality of Indonesian Higher Education Institutions
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Masdar Wiyono et al · Lembaga Penelitian dan Pengabdian kepada Masyarakat · 2025 · ISSN 0216-9495
This study investigates the performance of the Random Forest algorithm in measuring the quality of Higher Education Institutions (HEIs) in Indonesia. The current reliance on administrative evaluations and conventional ac...
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Assessing and managing heat vulnerability in Henan Province, China: An entropy-weighted and random forest framework
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Dong Ding et al · Elsevier · 2026 · ISSN 2665-9727
Background: Extreme heat poses growing public health challenges, particularly in rapidly urbanizing regions. Assessing heat vulnerability at the county level is crucial for guiding adaptation strategies. Methods: A count...
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Detection of Eyebolt Faults Using a Random Forest Ensemble Model Based on Multiple High-Frequency Electromagnetic Parameters
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H. V. H. Silva Filho et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo · 2023 · ISSN 2179-1074
Abstract This paper presents an eyebolt structural fault detection system, based on the analysis of multiple electromagnetic parameters through a random forest classifier trained by both measurements and high-fidelity si...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma Inglés
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Open Access
Enhancing Fraud Detection in Financial Transactions using LightGBM and Random Forest
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Wan-Ping Khor et al · MMU Press · 2026 · ISSN 2821-370X
In recent years, the frequency and complexity of financial fraud have been rising and have become an urgent challenge for the global financial system. Traditional rule-based detection methods struggle to cope with new ty...
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Evaluation of Support Vector Machine and Random Forest Models for EMG-Based Knee Motion Phase Classification
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Ing Teck Phang et al · IEEE · 2026 · ISSN 2169-3536
Knee-related conditions, such as anterior cruciate ligament injuries and meniscal ruptures, significantly affect mobility and quality of life. Although range-of-motion exercises are important for rehabilitation, interpre...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma Inglés
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Klasifikasi Kematangan Buah Nanas (Ananas comosus) Berdasarkan Data Hidung Elektronik Multisensor Menggunakan Algoritma Random Forest
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Sri Lestari et al · Departemen Sistem Informasi, Universitas Andalas · 2026 · ISSN 2460-3465
Indonesia merupakan salah satu produsen nanas terbesar di dunia, sehingga penentuan tingkat kematangan buah menjadi hal penting untuk menjaga mutu dan mendukung distribusi pascapanen. Penilaian kematangan secara tr...
LCC LCC:Electronic computers. Computer scienceIdioma Inglés
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Open Access
Prediction of traffic congestion through Decision Tree, Queuing Theory, Deep Belief Network and Random Forest methods
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Aditi Jha et al · Springer · 2026 · ISSN 3004-9261
Abstract The increase in vehicle ownership and urban population puts a strain on roads and increases traffic congestion within developed and developing nations. Congestion affects an individual’s time and increases an ...
LCC LCC:Science (General)Idioma Inglés
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The Problem of Redundant Variables in Random Forests
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Mariusz Kubus · Lodz University Press · 2018 · ISSN 0208-6018
Random forests are currently one of the most preferable methods of supervised learning among practitioners. Their popularity is influenced by the possibility of applying this method without a time consuming pre processin...
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Open Access
Traffic Accident Severity Classification System Using Random Forest Algorithm
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Ega Muhammad Atsir et al · LPPM Universitas Bhinneka Nusantara · 2025 · ISSN 2303-1425
Traffic accidents pose a major concern in many countries, including Indonesia, causing considerable losses, injuries, and fatalities each year. Properly classifying the severity of these incidents is essential for author...
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Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park
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Henry Simmons et al · Wiley · 2026 · ISSN 2056-3485
Abstract Marine habitat maps are essential tools for marine spatial planning, providing information for decision‐making in conservation and resource management. Accurate classification of benthic habitats supports thei...
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SAR Remote Sensing Flood Mapping Using A Multi-Feature Optimized Random Forest
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Q. Yuan · Copernicus Publications · 2026 · ISSN 1682-1750
Flood disasters, with high suddenness, wide impact and severe consequences, severely threaten ecological security, human lives, property and socioeconomic development. Optical remote sensing, though advantageous in spati...
LCC TENDOlRlY2hub2xvZ3k~; LCC:Engineering (General). Civil engineering (General); TENDOkFwcGxpZWQgb3B0aWNzLiBQaG90b25pY3M~Idioma Inglés
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Biomass equations for forest regrowth in the eastern Amazon using randomized branch sampling Equações alométricas para estimativa de biomassa de floresta secundária na Amazônia Oriental usando amostragem aleatória de ramos
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Mark Jonathan Ducey et al · Instituto Nacional de Pesquisas da Amazônia · 2009 · ISSN 0044-5967
Forest regrowth occupies an extensive and increasing area in the Amazon basin, but accurate assessment of the impact of regrowth on carbon and nutrient cycles has been hampered by a paucity of available allometric equati...
LCC LCC:Science (General)Idioma Inglés
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Open Access
Integrating Sentinel-1 SAR and Sentinel-2 multispectral data for tree species classification and mapping in smallholder planted forests of Tanzania
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Ernest William Mauya et al · Springer Nature · 2026 · ISSN 3059-2666
Abstract The rising demand for timber, alongside declining natural forests, has driven rapid growth of plantation forestry, especially smallholder woodlots in sub-Saharan Africa. Despite their increasing importance for l...
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Open Access
Multi-Temporal Remote Sensing for Forest Conservation and Management: A Case Study of the Gran Chaco in Central Argentina
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Alaggia, Francisco Guillermo et al · Multidisciplinary Digital Publishing Institute · 2025 · ISSN 2072-4292
Anthropogenic alteration of tropical and subtropical forests is a major driver of biodi-versity loss, with the Chaco forest, the largest dry forest in the Americas, among the most impacted regions. Sustainable forest man...
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Open Access
Deforestation and Reforestation of Latin America and the Caribbean (2001-2010)
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Aide, T. Mitchell et al · Wiley · 2012 · ISSN 2001-2010
Forest cover change directly affects biodiversity, the global carbon budget, and ecosystem function. Within Latin American and the Caribbean region (LAC), many studies have documented extensive deforestation, but there a...
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Potential Improvement of Forest Growth and Yield Modeling Incorporating Remote Sensing and Machine Learning
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Joao Victor do Nascimento Lima et al · IEEE · 2026 · ISSN 2169-3536
Forest growth and yield projection is essential for sustainable forest management planning. In Brazil, the Clutter model is widely applied for yield forecasting and commonly achieves prediction errors below 10%. However,...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma Inglés
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Open Access
A new hybrid physics-guided AI algorithm for water quality prediction supported by variable coefficients advection-diffusion model
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Hussein Karam Abd El-Sattar et al · Springer · 2026 · ISSN 2731-0809
Abstract Physical sciences are essential to the predictive modeling of complex environmental systems, particularly environmental monitoring and sustainability applications, as they provide the deterministic foundation re...
LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma Inglés
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A retrospective magnetic resonance imaging-based radiomics study for predicting lymph node regression status following neoadjuvant therapy in patients with locally advanced rectal cancer
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Tianxu Ma et al · Elsevier · 2026 · ISSN 2667-1026
Background: Lymph node metastasis (LNM) status serves as a key prognostic marker in patients with locally advanced rectal cancer (LARC). Neoadjuvant chemoradiotherapy (nCRT) can influence lymph node status by inducing re...
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Open Access
Analysis of the Effectiveness of Traditional and Ensemble Machine Learning Models for Mushroom Classification
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Neny Sulistianingsih et al · LPPM Universitas Bhinneka Nusantara · 2025 · ISSN 2303-1425
The classification of edible versus poisonous mushrooms presents a critical challenge in the domains of applied biology and public health, particularly due to the serious implications of misidentification. This research ...
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Assessment of groundwater development in watersheds using novel hydrosociological indicators and machine learning approach
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Roja Eliza et al · Elsevier · 2026 · ISSN 2665-9727
The impact of land use changes on watershed morphometry has shifted the delivery of ecosystem services from river-centric to aquifer-centric in the Ganga River Basin. We assessed the hydrosociology of 4830 dugwell develo...
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Open Access
Climate Change Analysis in Malaysia Using Machine Learning
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Anishalache Subramanian et al · MMU Press · 2025 · ISSN 2821-370X
Climate change presents significant challenges to ecosystems, economies, and societies globally. In Malaysia, a tropical country highly dependent on its natural resources, the impacts are evident in altered rainfall patt...
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Climate change and economic policy dominate soybean cultivation in china in recent decades of the 21st century
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Yulong Lv et al · Taylor & Francis Group · 2026 · ISSN 1753-8947
Over the past two decades, despite significant fluctuations in China's soybean planting area, high-resolution assessments quantifying the spatially heterogeneous and nonlinear impacts of compounding economic, climatic, a...
LCC LCC:Mathematical geography. CartographyIdioma Inglés
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Clustering and machine learning techniques identify air pollution regimes in Greater Cairo
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Doaa M. Elmourssi et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Air pollution is a major environmental and public health challenge in Greater Cairo due to rapid urbanization, intense traffic activity, and recurrent regional dust intrusions. This study presents a data driven ...
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