Explainable AI helps deep learning predict cloud server loads in real time
Researchers in India have built an explainable deep learning framework that forecasts cloud host load in real time with about ...
Researchers in India have built an explainable deep learning framework that forecasts cloud host load in real time with about ...
A scientometric analysis of 4,269 publications charts how sentiment analysis evolved from lexicon-based polarity detection to aspect-based, multimodal, foundation-model-driven sentiment ...
Researchers in India have built a reinforcement learning day-trading agent that combines CNNs, attention-based LSTMs, and explainable AI to outperform ...
Researchers in Bangladesh have developed an explainable deep learning framework that classifies brain tumors on MRI scans in 2.45 milliseconds ...
Researchers have developed xAutoGA, an open-source automated deep learning platform that uses a genetic algorithm, natural-selection visualizations, rule extraction, and ...
A machine learning benchmark of 350 Malaysian IPOs finds that a regularized linear support vector model outperforms complex ensembles and ...
Researchers have developed an explainable deep learning framework that combines Monte Carlo dropout uncertainty, firefly optimization, and SHAP interpretability to ...
An interpretable machine learning framework using Random Forest and SHAP analysis has delivered reliable permeability predictions for the tight, heterogeneous ...
A field-validated system combining drone multispectral imaging, explainable XGBoost AI, and edge-controlled variable-rate application cut nitrogen fertilizer use by 21.8 ...
A new fairness-regularized framework called CoR-Hate retrieves real counterfactual examples from corpus data to reduce identity bias in hate-speech detection ...
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© 2025 Scienmag - Science Magazine