Radar Detection Simulation by Digital Twins of Target and Antenna System by A. S. Grigoriev, A. A. Kazantsev, A. M. Terentyev, B. S. Stavtsev

“…The signal-to-noise dynamic dependence of the given radar system, space object, and observation scenario, presented by their digital models, was calculated. The function of detection probability density was calculated, which demonstrated an insufficient detection capacity of a radar system in the case of observation of such type of objects.Conclusion. …”
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Lightweight Detection Algorithm for Breast-Mass Features in Ultrasound Images by Taojuan Li, Wen Liu, Mingxian Song, Zheng Gu, Ling Hai

“…Thus, the proposed model effectively balances detection performance and lightweight design, making it well-suited for real-time applications on resource-constrained computing devices.…”
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A lightweight personnel detection method for underground coal mines by Shuai WANG, Wei YANG, Yuxiang LI, Jiaqi WU, Wei YANG

“…Introduce SIoU instead of the original loss function to accelerate model convergence. Finally, the introduction of the Ghost module to optimize the backbone network can reduce the computational and parametric quantities of the model without losing the model performance, improve the detection speed, and make the model easier to be deployed on resource-constrained devices. …”
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Detection, Parameter Estimation and Direction Finding of Periodic Pulse Signals by V. B. Manelis, I. S. Faustov, V. A. Kozmin

“…Simple-to-implement algorithms for detecting periodic pulse signals, evaluating their parameters, and direction finding of the source have been developed. …”
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Are Your Kidneys Ok? Detect Early to Protect Kidney Health by Joseph A. Vassalotti, Anna Francis, Augusto Cesar Soares dos Santos, Jr., Ricardo Correa-Rotter, Dina Abdellatif, Li-Li Hsiao, Stefanos Roumeliotis, Agnes Haris, Latha A. Kumaraswami, Siu-Fai Lui, Alessandro Balducci, Vassilios Liakopoulos

“…using serum creatinine to estimate kidney function and urine albumin to assess for kidney and endothelial damage. …”
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A Benchmark Review of YOLO Algorithm Developments for Object Detection by Zhengmao Hua, Kaviya Aranganadin, Cheng-Cheng Yeh, Xinhe Hai, Chen-Yun Huang, Tsan-Chuen Leung, Hua-Yi Hsu, Yung-Chiang Lan, Ming-Chieh Lin

“…You Only Look Once (YOLO) has established itself as a prominent object detection framework due to its excellent balance between speed and accuracy. …”
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Research on intrusion detection model based on improved MLP algorithm by Qihao Zhao, Fuwei Wang, Weimin Wang, Tianxin Zhang, Haodong Wu, Weijun Ning

“…These patterns can be effectively captured through MLP’s multiple nonlinear transformations, such as ReLU and Sigmoid activation functions, which are especially beneficial for intrusion detection. …”
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Code vulnerability detection method based on graph neural network by Hao CHEN, Ping YI

“…The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible vulnerabilities.A code vulnerability detection method based on graph neural network was proposed, which realized function-level code vulnerability detection through the control flow graph feature of the intermediate language.Firstly, the source code was compiled into an intermediate representation, and then the control flow graph containing structural information was extracted.At the same time, the word vector embedding algorithm was used to initialize the vector of basic block to extract the code semantic information.Then both of above were spliced to generate the graph structure sample data.The multilayer graph neural network model was trained and tested on graph structure data features.The open source vulnerability sample data set was used to generate test data to evaluate the method proposed.The results show that the method effectively improves the vulnerability detection ability.…”
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Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

“…Accurate target category detection is a prerequisite for obstacle avoidance decisions, and model lightweighting facilitates deployment in resource-limited conditions. …”
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Improved CSW-YOLO Model for Bitter Melon Phenotype Detection by Haobin Xu, Xianhua Zhang, Weilin Shen, Zhiqiang Lin, Shuang Liu, Qi Jia, Honglong Li, Jingyuan Zheng, Fenglin Zhong

“…The diversity of bitter melon shapes has a direct impact on its market acceptance and consumer preferences, making precise identification of bitter melon germplasm resources crucial for breeding work. To address the limitations of time-consuming and less accurate traditional manual identification methods, there is a need to enhance the automation and intelligence of bitter melon phenotype detection. …”
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A rapid and accurate method for Helicobacter pylori detection via integrating LAMP assay with CRISPR/Cas12b detection by one-step in one-pot by Yeqian Zhang, Tao Liu, Puhua Zhang, Bo Ni, Xingang Wang, Long Bai, Wei Sun, Yujing Guan, Xiang Xia, Hui Cao, Jiayi Gu

“…Conventional diagnostic methods, such as PCR and culture, require specialized equipment and expertise, limiting their applicability in resource-limited settings. There is a pressing need for a rapid, cost-effective, and user-friendly diagnostic platform for HP detection, particularly in point-of-care settings.MethodsWe developed an integrated detection platform combining loop-mediated isothermal amplification (LAMP) with the CRISPR/Cas12b system in a single, one-step, one-pot reaction. …”
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Exploring RNA cargo in extracellular vesicles for pleural mesothelioma detection by Agnieszka Kraft, Michaela B. Kirschner, Vanessa Orlowski, Manuel Ronner, Caroline Bodmer, Valentina Boeva, Isabelle Opitz, Mayura Meerang

“…Conclusions This is the first study to characterize the transcriptomic profile of EVs secreted by PM primary cell cultures, demonstrating their potential as biomarker source for early detection. Further investigation of the functional role of PM-EVs will provide new insights into disease biology and therapeutic avenues.…”
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Distribution and functional significance of KLF15 in mouse cerebellum by Dan Li, Shuijing Cao, Yanrong Chen, Yueyan Liu, Kugeng Huo, Zhuangqi Shi, Shuxin Han, Liecheng Wang

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A Study of Mixed Non-Motorized Traffic Flow Characteristics and Capacity Based on Multi-Source Video Data by Guobin Gu, Xin Sun, Benxiao Lou, Xiang Wang, Bingheng Yang, Jianqiu Chen, Dan Zhou, Shiqian Huang, Qingwei Hu, Chun Bao

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RpiBeh offers a versatile open source solution for rodent behavior tracking and closed loop interventions by Yiqi Sun, Jie Zhang, Qianyun Wang, Jianguang Ni

“…Existing commercial systems are costly and inflexible for customization, while current open-source tools are often lack of real-time functionality and suffer from steep learning curve. …”
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Transformer-based ECG classification for early detection of cardiac arrhythmias by Sunnia Ikram, Amna Ikram, Harvinder Singh, Malik Daler Ali Awan, Sajid Naveed, Isabel De la Torre Díez, Henry Fabian Gongora, Thania Candelaria Chio Montero

“…Electrocardiogram (ECG) classification plays a critical role in early detection and trocardiogram (ECG) classification plays a critical role in early detection and monitoring cardiovascular diseases. …”
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MDV ClimEx: An open-source tool for exploring climate anomalies in the McMurdo Dry Valleys of Antarctica by Renée F. Brown, Gavin P. Wagner

“…In the McMurdo Dry Valleys (MDVs), three decades of high-resolution meteorological monitoring offer a rare opportunity to characterize climate baselines and detect anomalous conditions that may signal extreme events capable of triggering hydrological and ecological responses. …”
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A Self-Adaptive Particle Swarm Optimization Based Multiple Source Localization Algorithm in Binary Sensor Networks by Long Cheng, Yan Wang, Shuai Li

“…Then the maximum likelihood estimator is employed to establish the objective function which is used to estimate the location of sources. …”
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A lightweight object detection approach based on edge computing for mining industry by Muhammad Wahab Hanif, Zhanli Li, Zhenhua Yu, Rehmat Bashir

“…These enhancements enable more accurate and efficient detection in resource‐constrained edge environments, contributing to safer and more reliable monitoring in coal mining operations.…”
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Anisotropic Diffusion of e± in Pulsar Halos over Multiple Coherence of Magnetic Fields by Kai Yan, Sha Wu, Ruo-Yu Liu

“…Also, the halo’s morphology may appear less asymmetric, especially after being smoothed by the point-spread function of instruments. This largely relaxes the tension between the asymmetric morphology of halos predicted by the model and the lack of apparent asymmetric halos detected so far. …”
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