IEEE

A Lightweight CNN for CAN-Bus Intrusion Detection

Abstract: Automotive electronic control units (ECUs) typically offer less than 32 kB of on-chip flash memory, presenting a significant challenge for deploying deep-learning models for Controller Area ...
IEEE

Efficient Back-Projection Technique for Multiple Objects Detection and 2D Imaging Through Photonics-Based LFM Radar

Abstract: Detection and imaging play a vital role in modern radar technology and have seen significant interest across various fields, including autonomous vehicles, defense, environmental monitoring, ...
IEEE

Advanced CNN Architectures for Enhanced Detection of Leukemia Cells in Bone Marrow Images

Abstract: The rapid advancement of deep learning techniques has significantly improved the accuracy of medical image analysis, particularly in the detection and classification of leukemia. In this ...
IEEE

DOH Detection Model Based on CNN-BILSTM-Hierarchical Attention and Reptile Meta-Learning

Abstract: With the increasing adoption of DNS-over-HTTPS (DoH), its encrypted nature enhances privacy protection but simultaneously poses significant challenges for detecting DoH tunnel traffic.
IEEE

YOLOv8-SCS: Improved Object Detection for Autonomous Driving Under Adverse Weather Conditions

Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.
IEEE

Discriminative Latent-Space Learning for Fine-Grained Object Detection in Remote Sensing Images

Abstract: Fine-grained object detection (FOD) is essential in many remote sensing image interpretation tasks. Existing FOD methods have achieved remarkable progress in modeling discriminative features ...
IEEE

MV-YOLO: An Efficient Small Object Detection Framework Based on Mamba

Abstract: Small-object detection in uncrewed aerial vehicle (UAV) and remote-sensing imagery remains challenging because targets occupy only a few pixels, features are sparse, objects are often ...
IEEE

Interpolate-Then-Detect: A New Framework of FMCW Radar Object Detection With Frame Interpolation for Autonomous Driving

Abstract: Ensuring reliable object detection in adverse conditions is paramount for safe autonomous driving. While cameras and LiDAR struggle in such scenarios, Frequency Modulated Continuous Wave ...
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

Enhanced Wild Animal Intrusion Detection using Faster R-CNN with Debiasing Technique

Abstract: The usage of animal detection models has risen because of increased wild animals trespassing into human settlements to survive. Due to the increased human population and natural exploitation ...
IEEE

Efficient Intrusion Detection for In-Vehicle Networks Using Knowledge Distillation From BERT to CNN-BiLSTM

Abstract: Under the development of intelligent transportation systems, In-Vehicle Networks (IVNs) serve as a critical channel for both internal and external communications. However, the inherent ...
IEEE

DAWN: Accelerating Point Cloud Object Detection via Object-Aware Partitioning and 3D Similarity-Based Filtering

Abstract: As a fundamental perception task, 3D point cloud detection has become essential for applications in autonomous driving and robotics. However, point cloud detection faces significant ...