Abstract: Hyperspectral anomaly detection (HAD) is an important task in remote sensing for identifying pixels with anomalous spectral signatures that deviate from their local background. Recently, low ...
Production Optimization, time-series ML, control Gas-lift/ESP setpoints, choke control 2–7% oil uplift; 20–40% downtime cut ...
This is a pytorch-based implementation for paper ContourNet (CVPR2020). ContourNet is a contour-based text detector which represents text region with a set of contour points. This repository is built ...
ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...
CAR-T cell therapy has demonstrated remarkable success in treating hematologic malignancies and is now expanding into solid tumors. On June 1, 2025, The Lancet published positive results from the ...
PyTorch reimplementation of "Deep Hierarchical Planning" RL framework. Features a multi-model architecture with manager-worker policies, world model, and goal autoencoder. Built with Python/PyTorch ...
Abstract: The deep learning-based anomaly detection methods using visual sensors generally rely on a single modality or variants as raw signal inputs, which severely limits expressiveness and ...
The Journal reported that for just the second time ever, the Asian hornet has been spotted in Ireland. The first sighting occurred in Dublin in 2021, while the second encounter was in the southern ...
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