IEEE

Lightweight Adaptive Deep Learning for Efficient Real-Time Speech Enhancement on Edge Devices

Abstract: Deep learning has significantly advanced speech enhancement (SE) by exploiting hierarchical representations to model complex speech patterns. However, deploying these models on ...
The Lancet

Causal deep learning for real-time detection of cardiac surgery-associated acute kidney injury: derivation and validation in seven time-series cohorts

aMedical Big Data Research Center, Chinese The People’s Liberation Army General Hospital, Beijing, China bNational Engineering Research Center of Medical Big Data Application Technology, The People’s ...

The only way to fight deepfakes is by making deepfakes

Reality Defender is effectively training AI to combat AI. The company uses an “inference-based model” to detect deepfakes, ...
GitHub

Lane Lines Detection Using Python and OpenCV

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.
GitHub

GPT Realtime Starter Kit

├── assets/ # Static assets ├── config/ │ ├── __init__.py # YAML config loader (modes + defaults) │ ├── session_defaults.yaml # Shared ...
IEEE

FloodNet-Lite: A Lightweight Deep Learning for Flood Mapping Using Remote Sensing Data With Optimized UNet and Edge Deployment Approach in 6G

Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...
OECD

Using digital resources for learning

Standards and guidelines for development co-operation with concrete examples of their implementation ...
eLife

A real-time, multi-animal model for automatic face detection and identification of freely moving common marmosets based on YOLOv8 algorithms

This valuable study presents a real-time system for identifying multiple unrestrained marmosets in a home cage setting using a combination of face detection and color-coded beads. However, there is ...
The Lancet

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective ...

lDepartment of Surgery, Meizhou People’s Hospital, Meizhou, China mDepartment of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital (Guangdong Academy ...