IrfanKarim352

IrfanKarim352

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wastewater-sludge-image-classification-cloud-gpus IrfanKarim352/wastewater-sludge-image-classification-cloud-gpus Python

Reproducible deep-learning image-classification pipeline for industrial soft sensing. Originally built for sludge-cake quality monitoring at DC Water Blue Plains AWWTP. Six architectures (FastViT, EfficientNet, MobileNet, EfficientFormerV2, DeepTEN-ResNet, sparse-AE CNN) compared with multi-seed statistics on Modal cloud GPUs.

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