IEEE

A CNN-Based Classifier for Quality Image Selection from Sky Cameras

Abstract: This paper presents quality enhancement techniques for all sky images in solar parks that uses sky camera-based systems. This study addresses the real-world challenges associated with ...
IEEE

A Hybrid Machine Learning Approach Utilizing CNN Feature Extraction with Traditional Classifier to Identify Strawberry Leaf Diseases

Abstract: Strawberry production is globally significant because it contains high nutrients. Strawberry leaf disease shapes a significant barrier to strawberry cultivation worldwide. Numerous ...
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 ...
CNN

Three kids steal and crash car after watching YouTube tutorial

5-year-old boy taken by ICE being held with dad at Texas facility ...
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 ...
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 ...