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 ...
IEEE

Dementia Detection in MRI Using CNN Classifier

Abstract: It is essential to emphasise the importance of detecting dementia as early as possible, as this cognitive disorder exhibits signs that increasingly limit the patient. Consequently, early ...
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

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

An Experimental EACI-Based Localization Framework Using LQI and CNN for Consumer IoT

Abstract: Precise indoor localization remains a challenge in wireless sensor networks (WSNs) due to multipath fading, interference, and signal fluctuations in different environments. Traditional ...
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 ...
IEEE

Hybrid-CNN Classifier for Fake News Detection: a Multimodal Defense Against Digital Misinformation

Abstract: The widespread circulation of false information through digital media presents a significant challenge to public confidence, societal harmony, and informed decision-making. To tackle this ...