Development of a Fluorescent Rapid Test Sensing System for Influenza Virus by Wei-Chien Weng, Yu-Lin Wu, Zia-Jia Lin, Wen-Fung Pan, Yu-Cheng Lin

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Detection of RNA Markers of West Nile Virus in Zoological and Entomological Material from Various Regions of the European Part of Russia in 2021–2023 by N. V. Borodai, S. K. Udovichenko, A. V. Nesgovorova, E. V. Putinseva, A. Yu. Koloskova, A. A. Baturin, A. V. Toporkov

“…The infection rate of blood-sucking mosquitoes was 0.07%, ixodid ticks – 0.09%, birds – 0.9%, frogs – 9.1%, which indicates that these animal groups are widely involved in the epizootic process. Markers of WNV in field material were detected in 14 entities. …”
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Multi-sensor monitoring for optimising printing parameters of laser powder bed fusion (L-PBF) processes by Allen Hum Jun Wee, Qing Yang Lu, Truong Do, Ngoc Vu Nguyen, Tuan Tran

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Bolt Loosening and Preload Loss Detection Technology Based on Machine Vision by Zhiqiang Shang, Xi Qin, Zejun Zhang, Hongtao Jiang

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Elevation Models, Shadows, and Infrared: Integrating Datasets for Thermographic Leak Detection by Loran Call, Remington Dasher, Ying Xu, Andy W. Johnson, Zhongwang Dou, Michael Shafer

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A satellite navigation spoofing interference detection method based on LSTM by ZHAO Shen, HUANG Wenna, QIN Yemei, LIAO Yifei, YANG Lingling

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Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review by Haiyang Wang, Liyun Lao, Honglei Zhang, Zhong Tang, Pengfei Qian, Qi He

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Detecting Mentions of Green Practices in Social Media Based on Text Classification by Anna Valerevna Glazkova, Olga Vladimirovna Zakharova, Anton Viktorovich Zakharov, Natalya Nikolayevna Moskvina, Timur Ruslanovich Enikeev, Arseniy Nikolaevich Hodyrev, Vsevolod Konstantinovich Borovinskiy, Irina Nikolayevna Pupysheva

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A Novel Approach to Speed Up Hampel Filter for Outlier Detection by Mario Roos-Hoefgeest Toribio, Alejandro Garnung Menéndez, Sara Roos-Hoefgeest Toribio, Ignacio Álvarez García

Subjects: “…signal processing…”
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A Satellite Navigation Spoofing Interference Detection Method Based on LSTM by ZHAO Shen, HUANG Wenna, QIN Yemei, LIAO Yifei, YANG Lingling

“…Facing the problem of satellite navigation spoofing interference detection, this paper proposes a feature parameter selection and data processing method applicable to the detection of spoofing interference by Long Short-term Memory (LSTM) neural network. …”
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Current Methods Used by the Forensic Science Service of the Israel Police for Processing Human Prints at the Scenes of Serious Crime by B. Geller

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A distance-aware approach for reliable out-of-distribution detection of wind turbine gearbox fault diagnosis by Jingxin Zhou, Yao Zhao

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An Improved Kernel Entropy Component Analysis for Damage Detection Under Environmental and Operational Variations by Shuigen Hu, Jian Yang, Jiezhong Huang, Dongsheng Li, Cheng Li

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RF-YOLOv7: A Model for the Detection of Poor-Quality Grapes in Natural Environments by Changyong Li, Shunchun Zhang, Zhijie Ma

Subjects: “…image processing…”
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Rapid Detection of Key Phenotypic Parameters in Wheat Grains Using Linear Array Camera by Wenjing Zhu, Kaiwen Duan, Xiao Li, Kai Yu, Changfeng Shao

“…The phenotype analysis of wheat using the image processing techniques presented in this study shows strong consistency with manual detection methods, providing valuable quantitative data to assist in breeding selection and accelerate genetic improvement practices.…”
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Real-Time Batch Detection System for Defects in Highly Curved Spiral Cylindrical Coils by Qinghang Zhuo, Linghua Kong, Jishi Zheng, Zhigang Ding, Wenguang Li, Dingrong Yi, Guofu Lian

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Lightweight and Accurate YOLOv7-Based Ensembles With Knowledge Distillation for Urinary Sediment Detection by Keita Sasaki, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye

Subjects: “…Image processing…”
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Automated Detection of Aberrant Episodes in Epileptic Conditions: Leveraging EEG and Machine Learning Algorithms by Uddipan Hazarika, Bidyut Bikash Borah, Soumik Roy, Manob Jyoti Saikia

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Detection of mite infested saffron plants using aerial imaging and machine learning classifier by Hossein Sahabi, Jalal Baradaran-Motie

“… Aim of study: To evaluate and develop a machine learning code that uses aerial images in visible and near infrared (NIR) spectra to detect mite-infested Saffron (Crocus sativus L.) plants through processing the spectral indices to classify healthy and diseased plants. …”
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Detection of Fiber-Flaw on Pill Surface Based on Lightweight Network SA-MGhost-DVGG by Jipei Lou, Hongyi Wang, Haodong Liang, Ziwei Wu

Subjects: “…flaw detection…”
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