Nondestructive detection of rape leaf chlorophyll level based on Vis/NIR spectroscopy by YAO Jian-song, YANG Hai-qing, HE Yong

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A Fused Multiscale Pictorial Sequence Learning Mechanism Applied to Pavement Detection by Zhang Jiazhen, Wang Xiulai, Zhao Shuxu

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Research on Detection and Counting Method of Green Walnut Based on YOLOv8n-RBP by Bangbang Chen, Keke Tan, Kun Li, Baojian Ma, Xiangdong Liu

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Validation of Artificial Intelligence Computer-Aided Detection on Gastric Neoplasm in Upper Gastrointestinal Endoscopy by Hannah Lee, Jun-Won Chung, Sung-Cheol Yun, Sung Woo Jung, Yeong Jun Yoon, Ji Hee Kim, Boram Cha, Mohd Azzam Kayasseh, Kyoung Oh Kim

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Detection of Sleep Posture via Humidity Fluctuation Analysis in a Sensor-Embedded Pillow by Won-Ho Jun, Youn-Sik Hong

“…Furthermore, the PELT algorithm was utilized for precise change-point detection. …”
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Diagnosis model for action problems of table tennis beginners based on improved DTW algorithm by Zhiguo Xin

“…Next, the mean filtering algorithm is used to denoise the data. Finally, the start and end positions of each action are determined to achieve effective action segmentation. …”
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Research on distributed cooperative algorithm based on signal-to-noise ratio coefficient with double thresholds by Li Zhanxiong, Liu Liping, Fang Liang, Lv Jiafeng, Wang Ci

“…In order to solve the problem that the traditional energy detection algorithm has poor detection performance due to the fixed decision threshold when the signal-to-noise ratio is low, this paper studies a dual-threshold cooperative energy detection algorithm that can change with the signal-to-noise ratio coefficient. …”
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Innovative multi objective optimization based automatic fake news detection by Cebrail Barut, Suna Yildirim, Bilal Alatas, Gungor Yildirim

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Rapid Control Prototyping and Analysis of a Fault Diagnosis and Amplifying Algorithm for Broken Rotor Bar Induction Motor Drives by Jina Choi, Se Hwan Kim, Woongkul Lee, Jae Suk Lee

“…This paper introduces a sensitivity-enhanced fault detection algorithm, termed the Fault Diagnosis and Amplifying (FDnA) method, designed to amplify fault signals in induction motors with broken rotor bars. …”
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Fault tolerant GPS-AOA-SINS integrated navigation algorithm based on federated Kalman filter by Rui JIANG, Jun LI, Youyun XU, Xiaoming WANG, Dapeng LI

“…At present, global positioning system (GPS) was widely used in outdoor positioning.However, the continuous development of cities complicated the positioning environment, resulting in a sharp decline in positioning accuracy.Therefore, the integrated positioning scheme of GPS/5G base station angle of arrival positioning/strap-down inertial navigation system (GPS-AOA-SINS) was adopted, and a fault-tolerant integrated navigation algorithm based on federated Kalman filter was proposed.Based on the GPS-AOA-SINS integrated positioning scheme, the algorithm added fault detection between the federated Kalman sub filter and the main filter, and adaptively adjusted the filter gain matrix of the fault sub filter.Experiments show that the proposed algorithm can effectively detect system faults and deal with them in real time, so as to improve the reliability of the system.…”
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Real-Time Drilling Performance Optimization Using Automated Penetration Rate Algorithms with Vibration Control by Dan Sui

“…The approach employs real-time control of key parameters, such as applied force and rotational speed, through a robust closed-loop control system. An adaptive detection algorithm is incorporated to dynamically adjust operational parameters when encountering changing conditions. …”
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Fault tolerant GPS-AOA-SINS integrated navigation algorithm based on federated Kalman filter by Rui JIANG, Jun LI, Youyun XU, Xiaoming WANG, Dapeng LI

“…At present, global positioning system (GPS) was widely used in outdoor positioning.However, the continuous development of cities complicated the positioning environment, resulting in a sharp decline in positioning accuracy.Therefore, the integrated positioning scheme of GPS/5G base station angle of arrival positioning/strap-down inertial navigation system (GPS-AOA-SINS) was adopted, and a fault-tolerant integrated navigation algorithm based on federated Kalman filter was proposed.Based on the GPS-AOA-SINS integrated positioning scheme, the algorithm added fault detection between the federated Kalman sub filter and the main filter, and adaptively adjusted the filter gain matrix of the fault sub filter.Experiments show that the proposed algorithm can effectively detect system faults and deal with them in real time, so as to improve the reliability of the system.…”
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Identification of Low‐Value Defects in Infrared Images of Porcelain Insulators Based on STCE‐YOLO Algorithm by Shaotong Pei, Weiqi Wang, Chenlong Hu, Keyu Li, Haichao Sun, Mianxiao Wu, Bo Lan

“…And the multiple attention mechanism improved to the third generation of variability convolution is used to detect the head to improve the accuracy of the algorithm's target localization. …”
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Classification of Flying Drones Using Millimeter-Wave Radar: Comparative Analysis of Algorithms Under Noisy Conditions by Mauro Larrat, Claudomiro Sales

“…This study evaluates different machine learning algorithms in detecting and identifying drones using radar data from a 60 GHz millimeter-wave sensor. …”
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Method for Detecting Disorder of a Nonlinear Dynamic Plant by Xuechun Wang, Vladimir Eliseev

Subjects: “…disorder detection…”
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Algorithms to Identify Copied and Manipulated Spectrum Occupancy Data in Cognitive Radio Networks by Joseph Tolley, Carl B. Dietrich

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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

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Human Body Tracking Method Based on YOLOV5s Object Detection by Shaymaa Tarkan Abdullah, Bashar Talib AL-Nuaimi, Hazim Noman Abed

Subjects: “…Body Tracking, Human Action Detection, YOLOV5sAlgorithm, Standfor40 Dataset.…”
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Leveraging IGOOSE-XGBoost for the Early Detection of Subclinical Mastitis in Dairy Cows by Rui Guo, Yongqiang Dai

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Research on the Algorithm for Height Measurement of Sand Pipe Based on Deep Learning by YUAN Hongxiang, WANG Junping, SHEN Yunbo, ZHONG Xuyang, JIANG Haixiao

“…Firstly, the object detection of sand pipe in 2D image and the fitting segmentation of rail plane were realized through the deep-learning-based YOLOv3-tiny algorithm and DeepLabv3+ model. …”
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