cs.OH papers | Gist.Science

A Novel Approach for Testing Water Safety Using Deep Learning Inference of Microscopic Images of Unincubated Water Samples

This paper introduces DeepScope, a deep learning-based system that analyzes microscopic images of unincubated water samples to detect fecal contamination in seconds with 93% accuracy and a cost of $0.44 per test, significantly outperforming traditional incubation methods in speed and affordability.

Sanjay SrinivasanTue, 10 Ma🤖 cs.LG

Bidirectional Temporal Dynamics Modeling for EEG-based Driving Fatigue Recognition

The paper proposes DeltaGateNet, a novel framework that enhances EEG-based driving fatigue recognition by explicitly modeling bidirectional temporal dynamics through a Bidirectional Delta module and a Gated Temporal Convolution module, achieving superior and robust performance across diverse datasets and evaluation settings.

Yip Tin Po, Jianming Wang, Yutao Miao + 5 more2026-03-06💻 cs