IEEE

CMNet: A CNN–Mamba Network for Change Detection With Similarity Orientation and Difference Perception

Abstract: Change detection (CD) is a hot research topic in the field of remote sensing (RS), and using convolutional neural networks (CNNs) and Transformers for CD tasks is the mainstream option ...
IEEE

A CNN and Deep Learning-based Smart Satellite Surveillance System for Wildfire Detection and Wildlife Damage Assessment

Abstract: Wildfires are a growing concern due to their catastrophic impacts on the environment, ecosystem services, biodiversity, and human settlements. Different fire detection systems face ...
IEEE

MonoICT: A Monocular 3-D Object Detection Model Integrating CNN and Transformer

Abstract: In the field of autonomous driving, 3-D object detection is a crucial technology. Visual sensors are essential in this area and are widely used for 3-D object detection tasks. Recent ...
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

A Small Target Detection Algorithm for Safety Protection Devices in High-Altitude Work

Abstract: To address the limitations of existing object detection algorithms in complex backgrounds, small target recognition, and occluded target detection, this paper proposes an improved BPS-YOLO ...
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 ...
The Courier-Journal

KSP Sgt. Leslie Strong works with May an electronic detection dog

KSP Sgt. Leslie Strong works with May, an electronic detection dog with the Kentucky State Police, who is trained to detect electronic devices.
IEEE

Wavelet-Enhanced CNN-Transformer Hybrid Network for Semantic Segmentation of Multi-Scale Geospatial Objects

Abstract: Semantic segmentation of remote sensing imagery has achieved pixel-level precision in land cover classification through deep learning and computer vision technologies, providing automated ...
IEEE

Shadow-Aware Moving Target Detection in ViSAR: A Multiscale CNN–Transformer Hybrid Detection Framework

Abstract: Based on the all-weather imaging capability of synthetic aperture radar (SAR), video synthetic aperture radar (ViSAR) enables dynamic ground target monitoring through high-frame-rate ...