IEEE

Classification of Dominant Tree Species and Vegetation Types Based on Sentinel-2 Time Series Multispectral Data in the Eastern Qilian Mountains

Abstract: Precise mapping of forest vegetation, including both dominant tree species and other vegetation types, is essential for forest management and biodiversity conservation, yet traditional ...
BMJ Global Health

Decision-analytic models in the economic evaluation of community health worker programmes globally: a systematic review

Introduction Economic evidence on community health worker (CHW) programmes is crucial for scaling these initiatives. Although decision-analytic models (DAMs) are essential for projecting long-term ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
eLife

Identification and classification of ion channels across the tree of life provide functional insights into understudied CALHM channels

In this manuscript Taujale et al describe an interdisciplinary approach to mine the human channelome and further discover orthologues across diverse organisms. Further, this work provides evidence ...
SciELO

COMPUTATIONAL VISION FOR TOMATO CLASSIFICATION USING A DECISION TREE ALGORITHM

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...
LinkedIn

Classification Algorithms Decision Trees and Random Forest

In Week 18 of my DataraFlow, the focus was on tree-based classification algorithms, specifically Decision Tree and Random Forest classifiers. These models are widely used in machine learning because ...
Nature

Pruning tree forest and re-sampling for class imbalanced problem

Class imbalance remains a critical challenge in machine learning, as it often leads to biased predictions where algorithms disproportionately favor the majority class, resulting in the ...
Nature

Sparse transformer and multipath decision tree: a novel approach for efficient brain tumor classification

Early classification of brain tumors is the key to effective treatment. With advances in medical imaging technology, automated classification algorithms face challenges due to tumor diversity.
Frontiers

Application of UAV remote sensing for vegetation identification: a review and meta-analysis

Green vegetation is an essential part of natural resources and is vital to the ecosystem. Simultaneously, with improving people’s living standards, food security and the supply of forage resources ...
Scientific Research Publishing

Comparative Analysis of Machine Learning Algorithms for Optimal Land Use and Land Cover Classification: Guiding Method Selection for Resource-Limited Settings in Tiaty, Baringo ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...
housedigest

The Best Method For Watering Money Trees (And How Often To Do It)

The money tree (Pachira aquatica) is a lovely houseplant that will fill your home with lush green foliage and a little whimsy with its flexible, swollen trunk. That's why you may see these for sale ...
Scientific Research Publishing

Application of Decision Tree Algorithm in Housing Purchase Problems

Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...