IEEE

A Facial Deepfake Detection Approach using CNN-based Models, Swin Transformer and Classifier Fusion

Abstract: Facial deepfake detection focuses on identifying manipulated images and videos generated by deep learning methods such as Generative Adversarial Networks (GANs) and autoencoders. Detection ...
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 ...
IEEE

AE-CNN Ensemble: A Novel Architecture for Effective Network Intrusion Detection and Classification

Abstract: The escalating scale and sophistication of cyberattacks pose a formidable challenge to conventional intrusion detection systems (IDS) because they lack the flexibility to adapt to evolving ...
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 ...
Frontiers

Transferable CNN-based data mining approaches for medical imaging: application to spine DXA scans for osteoporosis detection

Introduction: Osteoporosis is the leading cause of sudden bone fractures. This is a silent and deadly disease that can affect any part of the body, such as the spine, hips, and knee bones. Aim: To ...
CNN

Three kids steal and crash car after watching YouTube tutorial

Trump and Walz just spoke over the phone. Here's what to know ...
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 ...
IEEE

A comparative analysis of Alzheimer’s Disease by Pre-Trained CNN Classifiers using Two Palnes of MRI Images

Abstract: Alzheimer’s Disease (AD) is a progressive neurological disorder that leads to significant deterioration in cognitive functions and memory. AD is accompanied by many symptoms like memory loss ...
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 ...