Homeland Security Today

Naval Research Lab Launches Remote Sensing Experiment to Improve AI-Based Detection

The U.S. Naval Research Laboratory (NRL) launched a remote sensing experiment to sharpen artificial intelligence (AI) ...

‘Cloud-9’ is a newly discovered celestial object. It could help solve a cosmic mystery

A newly discovered celestial object may be a starless cloud that could change how astronomers understand dark matter.
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

SP-Pillars: An Efficient LiDAR 3D Objects Detection Framework With Multi-Scale Feature Perception and Optimization

Abstract: In autonomous driving, achieving rapid detection of target categories and locations is a key technology. However, the data volume of radar point clouds is enormous, and processing efficiency ...
IEEE

P4-INT-Based Network Intrusion Detection Method Using CNN-BiLSTM with Multi-Head Attention

Abstract: With the widespread use of Internet services, the risk of cyber attacks has increased significantly. Existing anomaly-based network intrusion detection systems suffer from slow processing ...
IEEE

Vitamin Deficiency Detection Using CNN-Based Image Analysis of Skin, Tongue and Nails

Abstract: Vitamin deficiency is a widespread global health issue that affects millions, often leading to severe physiological and dermatological complications. Early detection is essential for timely ...
IEEE

PCB Defect Detection Using Machine Learning: YOLOv5 and Inception v3 CNN-Based Approach

Abstract: Identification of PCB board defects early in the manufacturing process is crucial, as PCB quality control plays an important role in the electronics manufacturing industry. Defective PCBs ...
IEEE

A Parallel Fusion of CNN and Transformer for CT Lung Nodule Detection

Abstract: To improve the precision of CT lung nodule detection, this paper presents a parallel fusion model based on CNN and Transformer network, which integrates features of the two networks to fully ...
IEEE

Deep Learning Models for Precision Agriculture: Evaluating CNN Architectures for Accurate Plant Disease Detection

Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
IEEE

Open-World Objectness Modeling Unifies Novel Object Detection

Abstract: The challenge in open-world object detection, similarly to few- and zero-shot learning, is to generalize beyond the class distribution of the training data. In this paper, we propose a ...
IEEE

AI-Powered Lung Cancer Detection: CNN-SVM Hybrid Model with Statistical Insights

Abstract: Liability of lung cancer as a primary cancer mortality agent around the world makes it vital to create diagnostic systems that guarantee both accuracy and operational efficiency. This ...