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

Efficient Source-Level Waste Segregation Using CNN-Based Waste Classifier with IoT-Enabled Smart Bins and Mobile Application

Abstract: Image processing and deep learning techniques have demonstrated their efficacy as valuable tools for classifying municipal solid waste. This study presents a comparative review of the recent ...
GitHub

sorna-fast/tb-chest-xray-classifier

A deep learning project for detecting Tuberculosis (TB) from chest X-ray images using convolutional neural networks (CNN). This project demonstrates the application of computer vision in medical ...
GitHub

adithya930/Handwriting_Recognition_System

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IEEE

Anomaly Detection for Identity Authentication Using 1D-CNN-LSTM Autoencoder and Doppler Radar with Classifiers

Abstract: This study presents an integrated framework combining 1D-CNN-LSTM-Autoencoder-based anomaly detection with identity authentication using machine learning classifiers. The 1D-CNN-LSTM ...
IEEE

A Robust and Fast Operational Risk Assessment Method for Composite Power Systems with High Wind Power Penetration

Abstract: The strong stochasticity and volatility of wind power generation pose new challenges to the operational reliability of power systems. Traditional reliability assessment often struggles to ...
IEEE

Real-Time Rice Leaf Disease Classification With a VGG-16–Based CNN Deployed on Android via TensorFlow Lite

Abstract: Rice productivity is strongly affected by foliar diseases, yet field diagnosis in rural areas is often slow, subjective, and limited by internet access. This paper presents a real-time rice ...
GitHub

Tutorial on seismic signal/noise classification; from linear to deep classifiers

This jupyter notebook tutorial is meant to be a general introduction to machine and deep learning. We use seismic time series data from i) real earthquakes and ii) nuisance signals to train a suite of ...
IEEE

Explainable Deep Feature Learning for Multi-Class Tomato Leaf Disease Classification Using CNN and Ridge Classifier

Abstract: Diseases in tomato plants can lead to a significant reduction in yield, thereby impacting food security in Indonesia. Early disease detection is crucial for rapid and effective disease ...
IEEE

Performance Enhancement of Human Activity Recognition Using Millimeter-Wave Multi-Link Channels

Abstract: Human activity recognition (HAR) using millimeter-wave (mmWave) radar has gained attention as a contactless and privacy-preserving sensing method that remains effective under low lighting ...