Machine Learning Identifies Parity as Key Predictor of Under-Five Mortality
An investigation of Bangladesh Demographic and Health Survey data shows that higher cumulative fertility and smaller household sizes strongly predict ...
An investigation of Bangladesh Demographic and Health Survey data shows that higher cumulative fertility and smaller household sizes strongly predict ...
A nationwide machine learning study reveals that regional government fiscal conditions account for over 57 percent of credit default risk ...
Researchers adapted the lightweight DistilBERT language model using continued pre-training and retrieval techniques to significantly enhance transaction fraud detection over ...
A study reveals that artificial data balancing techniques distort probabilistic crash risk predictions and heavily overestimate traffic fatality hazards in ...
An integrated artificial intelligence framework combining generative oversampling, multi-scale attention, and dynamic focal loss achieved 95.88 percent classification accuracy on ...
Researchers developed a confidence-gated convolutional neural network and bidirectional recurrent model that enhances rare arrhythmia classification on electrocardiogram signals while ...
A two-country naturalistic driving study evaluated conditional generative adversarial networks for classifying rare, dangerous driving behaviors alongside explainable machine learning ...
A comparative evaluation of Quantum Support Vector Machines demonstrates an eight percent average recall gain over classical algorithms in lung ...
Researchers have developed a privacy-preserving framework called FLICKER that uses CKKS homomorphic encryption to detect and correct global class imbalance ...
Computer scientists have developed an intelligent undersampling framework that combines density-aware boundary selection with weighted ensemble learning to significantly improve ...
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© 2026 Scienmag - Science Magazine