Compliance WeekOpinion

How banks are responsibly embedding machine learning and GenAI into AML surveillance

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...
Circuit Digest

ESP32-CAM Currency Recognition System using Edge Impulse

TinyML / Edge AI, ESP32-CAM camera interfacing, Edge Impulse workflow, Image classification & object detection on ...
IEEE

Deep Learning Anytime Prediction via Enforcing Runtime Monotonicity for Early-Exit Activity Recognition

Abstract: During the past decade, deep neural networks (DNNs) have been widely deployed to a variety of mobile devices for sensor-based human activity recognition (HAR), where their computational ...
GitHub

AhmedEl-diasty/Human-Activity-Recognition-CNN-LSTM

This project implements a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for human activity recognition using sensor data from ...
IEEE

Accurate and Efficient Human Activity Recognition Through Semi-Supervised Deep Learning

Abstract: In recent years, deep learning has been widely used for human activity recognition (HAR) based on wearable sensor data due to its excellent performance. However, deep learning approaches ...