IEEE

A Dilated CNN and BiLSTM-GRU Based on Multi-Noise Classifier for Single Speech enhancement

Abstract: In this study, we propose a new acoustic noise reduction system based on deep learning. To enhance speech quality n many fields such as medical, mobile telephony and free-hand applications, ...
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

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 ...
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

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

CNN-based MRI Brain Tumor Classifier for Detecting Glioma, Meningioma, Pituitary Tumor, or Absence of Tumor

Abstract: Magnetic Resonance Imaging (MRI) is the clinical standard for assessing brain tumors, but has a long time to interpret and is prone to inter-observer variability. And one of the articles ...
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

Advancing Deep-fake Detection: A Hybrid CNN-Gradient Boosting Classifier Approach

Abstract: Discerning the veritable from the counterfeit in our digital milieu has become an exceedingly formidable enterprise, particularly in light of the meteoric rise of deepfake technology. In ...