Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors by Chipeng Cao, Jie Li, Pan Wang, Weiqiang Jin, Runrun Zou, Chun Qi

“…It combines reconstruction algorithms to recover hyperspectral data from low-dimensional measurement images. …”
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Real-Time Object Pose Tracking System With Low Computational Cost for Mobile Devices by Yo-Chung Lau, Kuan-Wei Tseng, Peng-Yuan Kao, I-Ju Hsieh, Hsiao-Ching Tseng, Yi-Ping Hung

“…We also propose a fast and effective pose inspection algorithm to detect tracking failures and incorrect pose estimation. …”
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Enhanced Curvature-Based Fabric Defect Detection: A Experimental Study with Gabor Transform and Deep Learning by Mehmet Erdogan, Mustafa Dogan

“…Manual fabric defect inspections are often characterized by low precision and high time costs, in contrast to intelligent anomaly detection systems implemented in the early stages of fabric production. …”
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Particle Swarm Optimization Support Vector Machine-Based Grounding Fault Detection Method in Distribution Network by Zhongqin Xiong, Shichang Huang, Shen Ren, Yutong Lin, Zewen Li, Dongyu Li, Fangming Deng

“…With the present fault detection method for low-voltage distribution networks, it is difficult to detect single-phase grounding faults under complex working conditions. …”
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AI for Data Quality Auditing: Detecting Mislabeled Work Zone Crashes Using Large Language Models by Shadi Jaradat, Nirmal Acharya, Smitha Shivshankar, Taqwa I. Alhadidi, Mohammad Elhenawy

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On the topology design of large wireless sensor networks for distributed consensus with low power consumption by Marta Zárraga-Rodríguez, Xabier Insausti, Jesús Gutiérrez-Gutiérrez

“…Sensor-based structural health monitoring systems are commonly used to provide real-time information and detect damage in complex structures. In particular, wireless structural health monitoring systems are of low cost but, since wireless sensors are powered with batteries, a low power consumption is critical. …”
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Efficient Real-Time Tool Chatter Detection Through Bandpass Filtering by Javier Arenas, Jorge Martínez de Alegría, Patxi X. Aristimuño, Vicente Gómez

“…To prevent tool chatter, a real-time chatter detection algorithm was developed using a low-cost accelerometer in combination with internal machine variables. …”
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Research on Intelligent Detection and Segmentation of Rock Joints Based on Deep Learning by Lei Peng, Haibo Wang, Chun Zhou, Feng Hu, Xiaoyang Tian, Zhu Hongtai

“…The current methods for detecting joints on tunnel face rely primarily on manual sketches, which are associated with issues of low detection efficiency and subjectivity. …”
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TSHD: Topic Segmentation Based on Headings Detection (Case Study: Resumes) by Majd E. Tannous, Wassim H. Ramadan, Mohanad A. Rajab

“…This research presents a new algorithm named TSHD for topic segmentation based on headings detection. …”
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Automated Detection of Poor-Quality Scintigraphic Images Using Machine Learning by Anil K. Pandey, Akshima Sharma, Param D. Sharma, Chandra S. Bal, Rakesh Kumar

“…Objective In the present study, we have used machine learning algorithm to accomplish the task of automated detection of poor-quality scintigraphic images. …”
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Insulator Defect Detection in Complex Environments Based on Improved YOLOv8 by Yuxin Qin, Ying Zeng, Xin Wang

“…To solve the problems of its low accuracy, high delay, and large model size in complex environments, following the principle of progressive extraction from high-entropy details to low-entropy semantics, an improved YOLOv8 target detection network for insulator defects based on bidirectional weighted feature fusion was proposed. …”
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Research on Fusion of Locomotive Safety Monitoring and Detection Data and Its Application by GONG Li, QIAO Bin, ZHAO Chao, YAO Kai

“…This paper introduced a scheme of integration and fusion of locomotive safety monitoring and detection data by a task flow based ETL data extraction algorithm. …”
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An intrusion detection mechanism for IPv6-based wireless sensor networks by Min Wei, Chunmeng Rong, Erxiong Liang, Yuan Zhuang

“…This mechanism trains an intrusion detection algorithm using a feature data set to create a normal profile. …”
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FPGA-oriented lightweight multi-modal free-space detection network by Feiyi Fang, Junzhu Mao, Wei Yu, Jianfeng Lu

“…With the development of multi-modal convolutional neural networks (CNNs) in recent years, the performance of driving scene semantic segmentation algorithms has been dramatically improved. Therefore most free-space detection algorithms are developed based on multiple sensors. …”
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Generalized Likelihood Block Detection for SPAD-Based Underwater VLC System by Ya-Wei Ji, Guo-Feng Wu, Chao Wang

“…Simulation results show that the bit error rate (BER) performance of the proposed receiver is closer to the BER low bound compared to the existing receiver. Moreover, the fast search algorithm reduces the computational complexity without any performance loss.…”
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Research on the Forming Detection Technology of Shell Plates Based on Laser Scanning by Ji Wang, Baichen Wang, Yujun Liu, Rui Li, Shilin Huo, Jiawei Shi, Lin Pang

“…In order to solve the problems of low efficiency and insufficient accuracy of the traditional manual template method in the forming detection of shell plates, a digital solution based on laser scanning detection system was proposed. …”
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Anomaly detection in virtual machine logs against irrelevant attribute interference. by Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

“…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …”
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Underground personnel detection and tracking using improved YOLOv7 and DeepSORT by Weiqiang FAN, Xuejin WANG, Yinghui ZHANG, Xiaoyu LI

“…Compared with YOLOv7-DeepSORT algorithm, the number of network parameters of the improved algorithm is reduced by 36%, significantly improving the real-time performance of underground multi personnel target detection and tracking, and is expected to be deployed in the underground intelligent edge computing monitoring platform.…”
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System Architecture for Real-Time Face Detection on Analog Video Camera by Mooseop Kim, Deokgyu Lee, Ki-Young Kim

“…The proposed architecture is based on AdaBoost learning algorithm with Haar-like features and it aims to apply face detection to a low-cost FPGA that can be applied to a legacy analog video camera as a target platform. …”
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A New Local Optimal Spline Wavelet for Image Edge Detection by Dujuan Zhou, Zizhao Yuan, Zhanchuan Cai, Defu Zhu, Xiaojing Shen

“…The coefficients of the pair of dual filters are calculated for image edge detection. We propose a new LOSW-based edge detection algorithm (LOSW-ED), which introduces a structural uncertainty–aware modulus maxima (SUAMM) to detect highly uncertain edge samples, ensuring robustness in complex and noisy environments. …”
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