Hacker

Machine Learning for the Birds: Building Your Own Bird Vocalization Classifier

Speech and language processing. At the end of the beginning. byPicture in the Noise@pictureinthenoise byPicture in the Noise@pictureinthenoise Speech and language processing. At the end of the ...
IEEE

FGSM Attack Impact on MNIST Classifiers via PyTorch Lightning

Abstract: this research explores the vulnerability of convolutional neural networks (CNNs) to adversarial attacks, with a focus on the Fast Gradient Sign Method (FGSM) as a baseline threat model. The ...
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

Analysis of Soft Tissue Tumors Using CNN Classifier

Abstract: Soft-tissue tumors (STTs) encompass a diverse group of tumors that arise in non-skeletal and non-epithelial tissues, presenting significant challenges in detection and classification. The ...
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

An Enhanced Approach to Predict the Concentration Level in Smart Video Tutorial Using CSP With Random Forest Classifier

Abstract: Self-learning has emerged as a vital component in career development within the rapidly evolving digital world. This paper proposes a novel Brain-Computer Interface (BCI)-driven framework ...
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

Retraction Notice: AutoFis: An Automated Identification of Fish Species and Marine Life using CNN with TensorFlow Lite Model

Abstract: Navigated by the spectacular increase of fish species undersea research, there is a significant work connected to data loading, processing, analyzing, and visualization based on color, gills ...
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 ...