Forests with diverse water-use strategies show greater drought resistance

Droughts are having a major impact on Europe's forests—and climate change could make them even more frequent—but diversity ...
University of Massachusetts Lowell

Ph.D. Dissertation Proposal Defense in Electrical and Computer Engineering: Masoumeh Farhadi Nia 11/7

The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...
Frontiers

Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
GitHub

Heart Disease Classification using Machine Learning Algorithms (SVM, MLP, Random Forest) for Medical Diagnosis

There was an error while loading. Please reload this page. This project focuses on developing and evaluating machine learning models to classify individuals into ...
IEEE

Deep-Random-Forest Stacking Ensemble Boosts Breast-Cancer Classification on Wisconsin Data

Abstract: Breast cancer is a health challenge for women around the globe, which is one of the most frequently diagnosed cancers and a leading cause of cancer-related mortality. Early detection of ...
IEEE

Enhancing Sleep Stage Classification With Single Channel EEG: Feature Extraction and Random Forest-XGBoost Model

Abstract: Sleep stage classification, essential for diagnosing sleep disorders, monitoring neurological health, and advancing cognitive neuroscience. Traditionally involves manual scoring of ...
Scientific Research Publishing

Pazhanikumar, K. and KuzhalVoiMozhi, S.N. (2023) Remote Sensing Image Classification Using Modified Random Forest with Empirical Loss Function through Crowd-Sourced Data ...

ABSTRACT: In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat ...
Scientific Research Publishing

Xi, Y., Mohamed Taha, A.M., Hu, A. and Liu, X. (2022) Accuracy Comparison of Various Remote Sensing Data in Lithological Classification Based on Random Forest Algorithm ...

ABSTRACT: In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat ...
C&EN

Ethanol Concentration Determination in Baijiu by Graph-Regularized PCA and Random Forest-Based Raman Spectroscopy

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Baijiu is a type of traditional Chinese alcoholic beverage with significant economic ...