Attention-guided UAV model trims maize maturity inputs and improves prediction
A 2025 Shandong field study found that attention-guided feature selection enabled a UAV random forest to estimate maize maturity with ...
Tag: feature selection
Machine learning estimates factory-worker stress from brain signals
An exploratory study of 20 participants linked EEG and fNIRS signals to self-reported anxiety-related stress, with the best model estimating ...
MFLRA improves multi-label text classification across ten benchmarks
A computational study on 10 benchmark datasets found that MFLRA outperformed eight comparison methods by combining multi-order relevance, label uncertainty ...
Compact feature selection improves wearable activity transfer across datasets
A study combining source relevance with unlabeled cross-dataset stability selected 48 wearable-signal features and improved MHEALTH-to-PAMAP2 activity classification.
Hybrid AI model nears perfect oil-presence prediction in synthetic reservoirs
A multi-branch deep-learning model reached 98.74% accuracy for oil-presence classification in a held-out synthetic reservoir dataset, but field validation remains ...
Adaptive AI Framework Sharpens Intrusion Detection in Imbalanced Network Traffic
Researchers at VIT University propose AFI-ID, an intrusion detection framework that unifies adaptive feature selection with attention-based ensemble fusion, achieving ...
One EEG Electrode May Be Enough to Detect VR Motion Sickness
Researchers used SHAP-based explainable AI to identify a single EEG electrode and just seven features that detect virtual reality motion ...
AI Ensemble Learns to Predict Rice Yields With Stunning Accuracy
Researchers at the University of Gondar report that a voting ensemble of tree-based machine learning models combined with permutation-based feature ...
Fractal Math Meets Mammography: Simple AI Hits 98.7% Accuracy in Breast Cancer Detection
A new stochastic fractal search-based framework pairs nature-inspired optimization with a lightweight k-nearest neighbor classifier to classify mammographic lesions with ...
AI Reads Liver Scans to Predict Which Colorectal Cancer Patients Will Respond to Chemotherapy
Researchers in China have developed an interpretable machine learning model that analyzes all liver metastases on contrast-enhanced CT scans to ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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