IEEE

Facial Expression Detection and Analysis Using Hog Based CNN Classifier

Abstract: In order to address specific needs in life and the market, individuals can deliver difficult labour to computers thanks to the quick development of human-computer interface and pattern ...
IEEE

An Integrated Time-Frequency Detector and Radar Pulse Modulation CNN Classifier

Abstract: Radar pulse detection and intra-pulse modulation classification are important capabilities in electronic warfare (EW) applications, including electronic intelligence (ELINT), electronic ...
GitHub

Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network

Overview (Ver 2.) This is a tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image ...
GitHub

sms-classifier

Real-time SMS text classification using Neural Networks and Deep Learning. Features 97%+ accuracy and a responsive web interface. A simple SMS spam classifier that cleans text, converts it using ...
IEEE

Accurate Simulation Pipeline for Passive Single-Photon Imaging

Abstract: Single-Photon Avalanche Diodes (SPADs) are new and promising imaging sensors. These sensors are sensitive enough to detect individual photons hitting each pixel, with extreme temporal ...
IEEE

Muscle-Joint Feature Fusion for Swimming Pattern Recognition With 1D-CNN Classifier

Abstract: Swimming pattern recognition plays an important role in underwater wearable robot control and competitive sports training. However, serious disturbances of harsh underwater environments ...
GitHub

IFD for Motor Bearing Fault Detection

This repository contains an Intelligent Fault Detection (IFD) System to detect motor bearing faults in industrial machinery. Uses a 1D-CNN to achieve end-to-end classification from raw vibration ...
IEEE

An Explainable Hybrid Deep Learning Framework for Network Intrusion Detection Using Feature-Guided CNN Models

Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...
IEEE

Alcoholic EEG Signal Feature Extraction Based on Relative Wavelet Bispectrum and Bispectrum-Gaussian Using CNN and ANN Classifier

Abstract: A person who is addicted to alcohol is most likely to have problems related to health and brain function, such as in doing cognitive tasks. Thus, detecting the alcoholic condition is ...
IEEE

High-Performance Computing-Embedded CIoT Framework for Enhanced Credit Risk Assessment Using BC and Attention-CNN

Abstract: Consumer credit risk assessment (CRA) is a process of data gathered from IoT devices called the Consumer IoT. CRA determines the probability that a consumer will miss payments on a financial ...