Fault Detection of Aircraft Control System Based on Negative Selection Algorithm by Jie Chen, Senyao Chen, Cunbao Ma, Zhengdong Jing, Qingshan Xu

“…The aircraft control system controls the whole flight movement process. Its fault detection can assist the aircraft PHM system in making decisions and completing the targeted maintenance, which is of great significance to improve the safety and reliability of the aircraft. …”
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Model Selection Approach for Distributed Fault Detection in Wireless Sensor Networks by Mrinal Nandi, Anup Dewanji, Bimal Roy, Santanu Sarkar

“…We propose fault detection schemes that explicitly introduce the error probabilities into the optimal event detection process. …”
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Ventricular Fibrillation Prediction and Detection: A Comprehensive Review of Modern Techniques by Monica Fira, Hariton-Nicolae Costin, Liviu Goraș

“…This review offers a detailed examination of modern ECG signal processing techniques employed in the prediction and detection of ventricular fibrillation (VF). …”
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Collision detection method for anchor digging machine water drilling rig by Zhi-xiang Liu, Shu-tong Yan, Kang Zou, Miao Xie

“…In order to avoid the interference between the water drilling rig and the anchor machine in the working process, it is necessary to calculate the joint variables of the drilling rig accurately. …”
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VAD-CLVA: Integrating CLIP with LLaVA for Voice Activity Detection by Andrea Appiani, Cigdem Beyan

“…Voice activity detection (VAD) is the process of automatically determining whether a person is speaking and identifying the timing of their speech in an audiovisual data. …”
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Rare plants detection using a YOLOv3 neural network by L.A. Gorodetskaya, A.Y. Denisova, L.M. Kavelenova, V.A. Fedoseev

“…To reduce the human impact on the natural habitat of plants and simplify the monitoring process, we propose the use of automatic analysis of unmanned aerial vehicles (UAVs) data using the Yolov3 neural network. …”
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Portable motorized telescope system for wind turbine blades damage detection by Alejandro Carnero, Cristian Martín, Manuel Díaz

“…In addition, the manual inspection process involves a great risk. To address this challenge, in this article a preventive maintenance system for wind turbines based on deep computational learning techniques is presented. …”
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Deep Learning in motion analysis for false start detection in speedway racing by Jacek Krakowian, Łukasz Jeleń

“…This paper introduces an automated approach that leverages computer vision methods to enhance detection precision. Here, we have expanded its use to detect false starts in speedway racing. …”
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Security anomaly detection for enterprise management network based on attention mechanism by Zhaohan You, Yucai Zheng

“…This effectively reduces the loss of critical security information in the detection process. Finally, through comparative experiments, it is verified that AMSCN-GADetector exhibits superior detection performance compared to other models, providing solid technical support for the stable operation and long-term development of enterprise management.…”
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The evolution of S-nitrosylation detection methodology and the role of protein S-nitrosylation in various cancers by Feng Liang, Min Wang, Jiannan Li, Jie Guo

“…Due to the presence of reducing agents, the SNO modification process mediated by NO derivatives is often reversible and unstable. …”
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Improving esports viewing experience through hierarchical scene detection and tracking by Ho-Taek Joo, Sung-Ha Lee, Insik Chung, Kyung-Joong Kim

“…Abstract The role of an observer in esports is to provide spectators with the most engaging scenes in real time. To automate this process, various research has been conducted. In this study, we utilize Vision Transformer (ViT)-based object detection to enhance the accuracy of automatic observers. …”
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A review of underground coal fire detection technology and engineering application by ZHAO Yushen, XU Xianlei, CAO Shilong, ZHU Pengqiao

“…Based on the formation process of coal fire, this paper combines literature review, numerical analysis, physical experiments, field investigation and other methods to study the underground coal fire detection technologyies and their engineering applications. …”
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Fresh Tea Sprouts Detection via Image Enhancement and Fusion SSD by Bin Chen, Jili Yan, Ke Wang

“…In order to improve the detection performance, we rethink the process of FTSD. …”
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Detection of Inception Cavitation in Centrifugal Pump by Fluid-Borne Noise Diagnostic by Liang Dong, Yuqi Zhao, Cui Dai

“…The change laws of total level of vibration and noise signals throughout the cavitation process were emphatically investigated. After comparing the sensitivity and reliability of different detection methods, the method based on overall sound pressure level of liquid-borne noise is found to present high sensitivity to cavitation. …”
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Early surface crack detection and localization in structures: an artificial intelligence approach by Biswarup Yogi, Sourav Kumar Das, Soham Modak, Aritra Biswas, Satyabrata Roy

“…Abstract Detecting cracks on the roof is crucial for protecting buildings. …”
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Through-Wall Detection with LS-SVM under Unknown Wall Characteristics by Fangfang Wang, Yerong Zhang, Huamei Zhang

“…In this paper, a two-step procedure for the through-wall detection is proposed. Firstly, an effective clutter mitigation method based on singular value decomposition (SVD) is used. …”
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Detective Gadget: Generic Iterative Entity Resolution over Dirty Data by Marcello Buoncristiano, Giansalvatore Mecca, Donatello Santoro, Enzo Veltri

“…Detective Gadgetemploys an alias-based hashing mechanism for fast and scalable matching, check functions to detect and correct mismatches, and a human-in-the-loop framework to refine results through expert feedback. …”
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Research on detection and treatment of loose zones in weak fracture zone tunnel by Xin Zheng, Feng Huang, Sheng Wang, Zerun Zeng, Shuwang Chen, Wenxuan Xu

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Spectral Clustering-Guided News Environments Perception for Fake News Detection by Kun Wang, Yuzhen Yang, Xiaoyang Wang

“…Finally, we provide textual perspective and stylistic perspective approaches during the detection process and soften the loss terms in multiple environments to alleviate the strict constraints, thus making it more compatible with the fake news detection task. …”
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RNA aptamer probes as optical imaging agents for the detection of amyloid plaques. by Christian T Farrar, Christopher M William, Eloise Hudry, Tadafumi Hashimoto, Bradley T Hyman

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