MLHI-Net: multi-level hybrid lightweight water body segmentation network for urban shoreline detection by Jianhua Ye, Pan Li, Yunda Zhang, Ze Guo, Shoujin Zeng, Youji Zhan

“…This module guides feature fusion and solves the problem of receptive field mismatch. …”
Get full text

Detection Model for 5G Core PFCP DDoS Attacks Based on Sin-Cos-bIAVOA by Zheng Ma, Rui Zhang, Lang Gao

“…A 5G core network DDoS attack detection model is been proposed which utilizes a binary improved non-Bald Eagle optimization algorithm (Sin-Cos-bIAVOA) originally designed for IoT DDoS detection to select effective features for DDoS attacks. …”
Get full text

A Crowd Density Detection Algorithm for Tourist Attractions Based on Monitoring Video Dynamic Information Analysis by Lina Li

Get full text

A fake news detection model using the integration of multimodal attention mechanism and residual convolutional network by Ying Lu, Naiwei Yao

“…Abstract To improve the accuracy and efficiency of fake news detection, this study proposes a deep learning model that integrates residual networks with attention mechanisms. …”
Get full text

Improving Recommender Systems for Fake News Detection in Social Networks with Knowledge Graphs and Graph Attention Networks by Aleksei Golovin, Nataly Zhukova, Radhakrishnan Delhibabu, Alexey Subbotin

“…Traditional text-based detection models often suffer from performance degradation over time due to their reliance on evolving textual features. …”
Get full text

Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach by Wenxuan Yao, Hui Li, Yanlin Li

“…During structural repair, crack detection is the most critical step. Automatic detection significantly reduces the engineering cost and human factor error compared with manual detection. …”
Get full text

STFNet: A Spatiotemporal Fusion Network for Forest Change Detection Using Multi-Source Satellite Images by Yingjiao Tan, Kaimin Sun, Jinjiang Wei, Song Gao, Wei Cui, Yu Duan, Junyi Liu, Wanghui Zhou

“…By combining fine spatial details of high-resolution images with dynamic information from time-series images, STFNet enhances the accuracy of forest change detection, alleviating the problem of information fusion difficulties caused by inconsistent granularity in spatiotemporal spectral features from different sources. …”
Get full text

SDMSEAF-YOLOv8: a framework to significantly improve the detection performance of unmanned aerial vehicle images by Linxuan Li, Xiaoyu Liu, Xuan Chen, Fengjuan Yin, Bin Chen, Yufeng Wang, Fanbin Meng

“…A Space-to-depth layer replaces the traditional strided convolution layer to enhance the extraction of fine-grained information and small-sized target features. A Multi-Separated and Enhancement Attention module enhances the feature learning ability of the occluded target region, thus reducing missed and false detections. …”
Get full text

A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention by Yizong Wang, Zhengrong Xiao, Hong Wang, Fei Li, Jiya Tian

“…Background Aiming at the problems of complex and diverse field symptoms of citrus Huanglong disease (HLB), low efficiency and insufficient recognition accuracy of traditional detection methods, this study proposes an efficient detection algorithm based on improved You Only Look Once (YOLO)v8. …”
Get full text

VirtualFilter: A High-Performance Multimodal 3D Object Detection Method with Semantic Filtering by Mingcheng Qu, Ganlin Deng

“…Certainly, multimodal methods can also lead to many problems, the two main ones being the incomplete utilization of camera features and rough fusion methods. …”
Get full text

Detection of SAR Image Multiscale Ship Targets in Complex Inshore Scenes Based on Improved YOLOv5 by Zhixu Wang, Guangyu Hou, Zhihui Xin, Guisheng Liao, Penghui Huang, Yonghang Tai

“…Therefore, this article proposes an improved YOLOv5 method to address the problem of low accuracy in multiship target detection tasks in complex scenes. …”
Get full text

Defect Detection in the DR Images of Aluminum and Magnesium Alloy Castings Based on the Improved YOLOv8 Algorithm by Mingfei CHEN, Shuai TIAN

“…Second, the YOLOv8 network structure is improved, and the context anchor attention (CAA) mechanism is introduced to pay more attention to key defect features; the cross-scale feature fusion module (CCFM) is introduced to enhance the expression ability of multi-scale features; the detection head is improved to enhance the detection ability of small targets. …”
Get full text

A self-growth convolution network for thermal and mechanical fault detection with very limited engine data by Gou Xin, Zhu Xiaolong, Wang Xinwei, Wang Hui, Zhang Junhong, Lin Jiewei

Get full text

A deep learning model for fault detection in distribution networks with high penetration of electric vehicle chargers by Seyed Amir Hosseini, Behrooz Taheri, Seyed Hossein Hesamedin Sadeghi, Adel Nasiri

“…Integration of a significant number of domestic electrical vehicle (EV) charging stations into the power distribution infrastructure can give rise to several protection problems. Therefore, we propose a new method to detect short-circuit faults in distribution networks with high penetration of residential EV chargers. …”
Get full text

Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

“…The significant features of healthcare are the privacy of medical details and the accuracy of disease identification. …”
Get full text

Target detection technology of coal mine wheeled robot combining improved CNN and self attention mechanism by Junfei TANG, Hailong XING, Su LI, Taotao ZHANG, Heng LIU, Shiyu YAO

“…To solve this problem, an object detection method based on improved convolutional neural network and self-attention mechanism is proposed. …”
Get full text

Multi-LiDAR-Based 3D Object Detection via Data-Level Fusion Method by Yu Luo, Tao Wang, Shuai Lu, Xuerui Dai, Zhi Li

“…Secondly, a new point cloud detection model based on the deep learning framework is proposed, which enhances the feature extraction ability of small targets with sparse point clouds at the intersection of perception stations by focusing on features by attention mechanism. …”
Get full text

Intrusion detection in cluster‐based wireless sensor networks: Current issues, opportunities and future research directions by Ayuba John, Ismail Fauzi Bin Isnin, Syed Hamid Hussain Madni, Muhammed Faheem

“…In addition, this research conducted several comparative studies of feature selection techniques and machine learning methodologies in the development of intrusion detection systems. …”
Get full text

RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

“…The integration of Unmanned Aerial Vehicles (UAVs) with object detection technology offers a promising solution to this problem. …”
Get full text

Research on Underwater Small Target Detection Technology Based on Single-Stage USSTD-YOLOv8n by Weiguo Yi, Jinwei Yang, Lingwei Yan

“…Aiming at the problem of low visibility of underwater environment, which leads to the leakage of small target detection and low accuracy, this paper proposes an improved algorithm USSTD-YOLOv8n (Underwater small-size target detection YOLOv8n) based on YOLOv8n. …”
Get full text