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aquila-optimizer

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gangabhuvan / brain-tumor-classification-xai

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Deep learning framework for brain tumor classification using ConvNeXt, Swin Transformer, and EfficientNet, evaluated with Aquila Optimizer (AQ), baseline configurations, and Random Search (RS), with Explainable AI (Grad-CAM++, LIME, SHAP).

machine-learning computer-vision deep-learning aiml pytorch artificial-intelligence mri medical-imaging random-search lime explainable-ai gradcam flask-webapp shap brain-tumor-classification healthcare-ai swin-transformer efficientnet-b0 convnext-tiny aquila-optimizer
  • Updated Apr 17, 2026
  • Jupyter Notebook

chairulridjaal / AO-PSO-TFT

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Hybrid AO-PSO Optimized Temporal Fusion Transformer for multi-horizon energy forecasting. Features a two-phase meta-heuristic cascade for automated hyperparameter tuning and a statistically rigorous 10x Grind evaluation protocol.

research deep-learning pytorch hyperparameter-optimization particle-swarm-optimization metaheuristics swarm-intelligence smart-grid time-series-forecasting energy-forecasting temporal-fusion-transformer aquila-optimizer
  • Updated Mar 15, 2026
  • Python

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