Analysis of Bridge Health Detection Based on Data Fusion by Ying Chen, Jiuhong Zhang, Yanfeng Li, Jialong Li

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Urban Road Change Detection using Morphological Processing by Ei Phyu Sin Win

“… The primary point of this research is to design a road extraction algorithm for processing National Aeronautics and Space Administration satellite pictures. …”
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Leveraging Graph Neural Networks for IoT Attack Detection by Mevlüt Uysal, Erdal Özdoğan, Onur Ceran

“…To address this challenge, researchers propose a novel hybrid approach combining Graph Neural Networks and XGBoost algorithm for robust intrusion detection in IoT ecosystems. …”
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Abnormal Event Detection Method in Multimedia Sensor Networks by Qi Li, Xiaoming Liu, Xinyu Yang, Ting Li

“…Detecting abnormal events in multimedia sensor networks (MSNs) plays an increasingly essential role in our lives. …”
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Video Detection and Fusion Tracking for the Targets in Traffic Scenario by Pan Li, Jianing Zhang, Chengxi Han, Luping Xu, Baoguo Feng, Yongjun Zhou, Sen Zhang, Bo Zhang

“…On the other hand, video provides high visualization but struggles with problems such as target adhesion, low detection confidence, and difficulty in speed measurement. …”
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Automated detection of complex zebrafish seizure behavior at scale by Paige Whyte-Fagundes, John Efromson, Anjelica Vance, Samuel Carpenter, Aurélien Bègue, Aloe Carroll, Thomas Jedidiah Jenks Doman, Mark Harfouche, Scott C. Baraban

“…Abstract Convulsive seizure behaviors are a hallmark feature of epilepsy, but automated detection of these events in freely moving animals is difficult. …”
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Application of deconvolutional networks for feature interpretability in epilepsy detection by Sihao Shao, Yu Zhou, Ruiheng Wu, Aiping Yang, Qiang Li

“…IntroductionScalp electroencephalography (EEG) is commonly used to assist in epilepsy detection. Even automated detection algorithms are already available to assist clinicians in reviewing EEG data, many algorithms used for seizure detection in epilepsy fail to account for the contributions of different channels. …”
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Three Machine Learning Techniques for Melanoma Cancer Detection by Hadi Naghavipour, GholamReza Zandi, Abdulaziz Al-Nahari

“…The application of machine learning technologies for cancer detection purposes are rising due to their ever-increasing accuracy. …”
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Machine vision model for drip leakage detection of pipeline. by Cong Xiao, Yiyuan Zhou, Yanwen Wu, Guodong Zhang

“…The droplet boundary extraction algorithm is proposed, and the three-dimensional model of the target droplet is established, so the volume calculation problem of the droplet is solved, which provides a way of thinking for drip leakage detection of the pipeline.…”
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Generic, scalable and decentralized fault detection for robot swarms. by Danesh Tarapore, Anders Lyhne Christensen, Jon Timmis

“…Results show that our generic fault-detection system is robust, that it is able to detect faults in a timely manner, and that it achieves a low false positive rate. …”
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On Flood Detection Using Dual-Polarimetric SAR Observation by Su-Young Kim, Yeji Lee, Sang-Eun Park

“…For an effective comparison of the flood detection performance between dual-pol parameters, we presented a simple fuzzy-based flood detection algorithm. …”
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SLPOD: superclass learning on point cloud object detection by Xiaokang Yang, Kai Zhang, Yangyue Feng, Beibei Su, Yiming Cai, Kaibo Zhang, Zhiheng Zhang

“…To tackle this challenge, we introduce SLPOD, a Superclass-based point cloud object detection algorithm. Employing a siamese network structure, SLPOD conducts unsupervised clustering of samples within the same category to enhance the extraction of individual-specific features, thereby improving detection accuracy when confronted with complex datasets. …”
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Detection of Pathogenic Microorganisms by Fusion of Recursive Feature Pyramid by HUANGZhitian, XIEYining, ZHAOJing, HEYongjun

“…Aiming at the problems of less research on the detection of pathogenic microorganisms , large differences in target size and complex background , a multi-scale detection method of pathogenic microorganisms fused with recursive feature pyramid was proposed. …”
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Research on Improved YOLOv7 for Traffic Obstacle Detection by Yifan Yang, Song Cui, Xuan Xiang, Yuxing Bai, Liguo Zang, Hongshan Ding

“…Object detection and recognition algorithms are widely used in applications such as real-time monitoring and autonomous driving. …”
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Toward Salient Key Phrase for Candidate Topic Detection by Yasser S. Jude, Wafaa Al-Hameed

“…These results highlight the algorithm's ability to extract relevant information from text documents.…”
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Multi-Level Foreground Prompt for Incremental Object Detection by Jianwen Mo, Ronghua Zou, Hua Yuan

“…In the study of incremental object detection, knowledge distillation and data replay are effective methods to mitigate catastrophic forgetting. …”
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Safety helmet detection methods in heavy machinery factory by Liu Baoju, Wei Xiangqian, Chen Qingshan, Liu Jiaqi, Chen Ye, Yu Peng, Lei shi, Hu Yongfeng

“…Abstract In heavy machinery factories, accurately detecting whether workers correctly wear safety helmets is important to their well-being. …”
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XFP-recognizer: detecting cross-file browser fingerprinting by Xiaoxi Wang, Zhenxu Liu, Chunyang Zheng, Xinyu Liu, Wei Liu, Yuling Liu, Qixu Liu

“…Abstract In recent years, the evolving browser fingerprinting technology has posed significant challenges and constant demands on detection methods. Research related to malicious code shows that cross-file techniques, which disperse code into multiple files, can resist current detection methods. …”
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Neural models for detection and classification of brain states and transitions by Arnau Marin-Llobet, Arnau Manasanch, Leonardo Dalla Porta, Melody Torao-Angosto, Maria V. Sanchez-Vives

“…Here we introduce a pipeline to detect brain states and their transitions in the cerebral cortex using a dual-model Convolutional Neural Network (CNN) and a self-supervised autoencoder-based multimodal clustering algorithm. …”
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Use of deep learning in early software bug detection by Syed Mibran Hassan Zaidi, Maria Khan, Mustafa Latif, Ali Akhtar, Sallar Khan

“…An ensemble technique approach is proposed to increase the performance of detecting software bugs for moderate to large datasets. …”
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