IEEE

DAS-Based Perimeter Intrusion Detection Using 2D-CNN With SKAttention Mechanism

Abstract: Distributed fiber optic sensing technology has been extensively applied in the field of perimeter security. The distributed acoustic sensing (DAS) system driven by a deep learning ...
IEEE

A Novel Approach for Classification and Detection of Apple Leaf Disease Using Enhanced RBVT-Net With Transfer Learning and YoloV7

Abstract: Apples are a popular fruit worldwide, valued for their rich nutritional content and associated health benefits, such as reducing the risks for cancer, diabetes, and heart disease. However, ...
IEEE

AI-Powered Deepfake Detection Using CNN and Vision Transformer Architectures

Abstract: The increasing use of artificial intelligence-generated deepfakes creates major challenges in maintaining digital authenticity. Four AI-based models, consisting of three CNNs and one Vision ...
IEEE

Enhancing CNN-Based Motion Sickness Detection using EEG Signals Weighted by Motion Sickness Dose Value

Abstract: With the advancement of autonomous driving technologies, passengers increasingly engage in non-driving activities. However, these activities are often limited by motion sickness (MS), which ...
IEEE

Enhancing Early Plant Disease Detection with the Advanced GNN-based Model Leveraging Hyperspectral Imaging

Abstract: Accurate early detection of plant diseases remains a critical challenge due to the complexity of hyperspectral data and the limitations of traditional machine learning models. This study ...
IEEE

Automated Wildlife Monitoring for Animal Detection using CNN and Bi-GRU

An essential ecological responsibility is to observe wildlife in their native habitats. The rapid expansion of the human population and the never-ending quest for economic prosperity are leading to ...
IEEE

Automated Food Spoilage Detection Using Deep Learning: A CNN-Based Approach

Abstract: Food spoilage detection is critical in ensuring food safety and reducing waste. In this work, we offer a new neural network model, rotOrNot, intended for image analysis-based rotten food ...