Satellite Data and Explainable AI Predict Regional Heart Disease Risk
A new hybrid explainable machine learning framework combines satellite environmental data with health records to predict cardiovascular disease risk at ...
Tag: class imbalance
Evolutionary Feature Optimization Sharpens Latent Learning in Endoscopy Images
A new framework called EvoLatent-FS uses evolutionary feature optimization before variational encoding to learn more compact and discriminative latent representations ...
Inception-V3 transfer learning grades diabetic retinopathy severity with 93.45% accuracy
A transfer-learning framework using Inception-V3 with SGDM and Nesterov Accelerated Gradient classified five diabetic retinopathy severity classes on the APTOS ...
Lightweight AI Intrusion Detection System Targets IoT and Medical Device Threats
Researchers report a lightweight, imbalance-aware intrusion detection system achieving up to 0.9998 accuracy on IoT and medical IoT benchmark datasets.
AI Learns to Tell Landslides From Bare Rock by Reading Geological Clues
A geological-feature enhanced Cascade Mask R-CNN suppresses spectral confusion and class imbalance to recognize landslides in high-resolution satellite imagery, cutting ...
Generative deep learning for class imbalance in credit risk modeling: comparative evaluation of synthetic oversampling methods and an elastic oversampling extension
A new study in Financial Innovation compares generative and synthetic oversampling for rare-default prediction and introduces a tunable hybrid method ...
Machine learning crash severity review finds imbalance and interpretability gaps
A systematic review of 306 studies finds most machine learning crash severity models ignore class imbalance and a large share ...
Machine learning benchmark flags hidden misses in road-accident prediction
A controlled benchmark of six machine-learning classifiers on a synthetic road-accident dataset shows that the most accurate models still missed ...
Machine learning maps post-wildfire debris-flow hazards from lidar and satellite data
A machine learning framework combining multi-temporal lidar and satellite data mapped post-fire debris flows across seven Oregon watersheds, with multi-temporal ...
Deep Learning Model Scores 97.9% Accuracy in Grading University Teaching Quality
A published study reports that a Big Bang-Big Crunch optimized Peephole LSTM model classified course records in a 10,000-record dataset ...
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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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