Detect-X Automated Threat Detection by AI
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Updated
Oct 10, 2019 - Jupyter Notebook
Detect-X Automated Threat Detection by AI
Imagenet Pretraining for Covid-19 Xray Identification
Implementation of the Amptek DP5 Protocol for interfacing with PX5 or DP5 Digital Pulse Processors.
Udacity AI for Healthcare Nanodegree Project: Deep Learning Model for Detecting Pneumonia in 2-D Chest X-Rays
iOS application Using Deep Learning to detect Pneumonia caused by NCOV-19 from X-Ray Images
A Monte Carlo simulation code of energy dispersive, photon counting (PC) silicon drift detectors (SDDs) for x-ray fluorescence (XRF) and spectrometry applications. The simulation includes PC detectors intended for spectrometry and molecular imaging. The detector is based on Amptek XR100 FastSDD Xray detector (Amptek Inc., Bedford, MA, USA)
Chest X-Ray Pneumonia Identification with PyTorch
MCAce: privacy-first Fabric client inventory, resource-pack telemetry, server correlation, and signed current-connection anti-cheat policy for Minecraft
one Fracture Detection in X-ray Images using YOLOv8 — A deep learning project for medical imaging, fracture classification, and automated healthcare diagnosis.(this is a practice project )
X-rays classification of 7 lungs diseases based on convolutional neural networks.
Project using deep learning model to detect bacterial and viral pneumonia in chest x-rays
Behavioural anti-cheat research bench for Minecraft (Paper): mining telemetry, typed LLM questions, and an offline benchmark against classic X-Ray heuristics. Shadow mode only, never bans.
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