IEEE

Attention-based CNN-BiLSTM Model With CTGAN Sample Augmentation for Intrusion Detection in IoT

Abstract: Intrusions or attacks on IoT networks have dramatically increased in recent years. As a result, protecting IoT infrastructure from these threats became essential to its global acceptance.
IEEE

Adversial Learning Through GAN and Feature Extraction Through CNN for Deep Fake Detection

Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
IEEE

HemaX - A CNN-Based Approach for Anemia Detection from Conjunctiva Pallor Images

Abstract: Anaemia is a condition marked by an insufficient number of healthy red blood cells, often initially indicated through visible conjunctival pallor. Conventional diagnostic approaches rely on ...
IEEE

An Advanced CNN–LSTM–Attention Framework for the Detection of GNSS Spoofing Interference

Abstract: Our study addresses the shortcomings of existing methods by designing a software-based spoofing-signal identification system for civilian GNSS receivers, enabling intelligent detection of ...
IEEE

Towards Accurate Maritime Surveillance: A Hybrid CNN-Transformer Architecture for Ship Detection in SAR Imagery

Abstract: Finding ships in water using high-resolution radar images is goal of synthetic aperture radar (SAR) ship detection, which works in any lighting or weather scenario. By taking advantage of ...
IEEE

MonoGSDet: Monocular 3D Object Detection With Gaussian Splatting in Autonomous Driving

Abstract: Monocular 3D object detection has gained considerable attention because of its cost-effectiveness and practical applicability, particularly in autonomous driving and robotics. Most of ...
IEEE

EFAF-YOLO: A Novel Enhanced Framework for Small-Object Detection

Abstract: Remote sensing platforms provide crucial data for applications such as urban planning and traffic monitoring. However, detecting small objects remains challenging due to low resolution, ...
IEEE

Accurate Fake News Detection in Text-Based Content Using K-Nearest Neighbor, LSTM, MLP and CNN Models

Abstract: With the proliferation of social media platforms, where users are free to express themselves and share content, the detection of fake news in text has become an important issue. The ...
IEEE

DPLR-DETR: Small Object Detection Model for UAV Aerial Imagery

Abstract: Small object detection in UAV aerial imagery presents significant challenges due to limited pixel coverage and complex backgrounds. This paper introduces DPLR-DETR (Dynamic Position Large ...
IEEE

Building a CNN Based Pest Detection System for Off Grid Hydroponic Farming in Rural South Africa

Subsistence farming plays a crucial role in the South African economic sector, supporting around 60 % of households [1]. However, food insecurity persists due to severe and unpredictable climate ...
IEEE

A Lightweight 1D-CNN for Daily Usage Laboratory Object Classification Using Radar Raw Samples

Abstract: Millimeter-wave (mmWave) radars are increasingly popular in automotive, healthcare, civilian, and military applications due to their ability to operate in all weather conditions and provide ...
IEEE

Mamba*YOLO: Lightweight and Accurate Object Detection via Regional Attention With Gated Enhancement

Abstract: Object detection is a fundamental computer vision task that simultaneously locates and categorizes objects in images and videos. It is utilized in various fields, such as autonomous driving, ...