Reliability Analysis of ZZ Distribution Under Zero Failure Data by LEI Lu, ZHANG Guozhi, WANG Ping

“…In order tostudy the reliability of the ZZ distribution under the condition of no failure data, and the reliability function is transformed, and the concavity and convexity is used to obtain a more precise relationship between the reliability of the products at each detection time Further, under the prior distribution is the uniform distribution or more general distribution, Bayesian Estimation of the reliability at each moment is given Meanwhile, according to the optimal confidence lower limit formula of known function with confidence level of 1－α in the case of no failure data, the optimal confidence lower limit expression of the reliability function is given, and the simplified form that is convenient to use is obtained in several special cases.…”
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An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions by Diako Mardanbegi, Andrew T. N. Kurauchi, Carlos H. Morimoto

“…In this paper we investigate the behavior of the gaze estimation error distribution throughout the image of the scene camera when using polynomial functions. …”
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Closed-Form Solution for CFAR Detection Threshold in G⁰ Distributed SAR Clutter by Dheeren Ku Mahapatra, Sourabh Paul, Biswajit Dwivedy, Alejandro C. Frery

“…Exploiting the dependencies between hypergeometric functions and the Fisher-Snedecor distribution function, we formulate a closed-form solution for the CFAR detection threshold. …”
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Distributed optical fiber acoustic wave sensor detection technology for gangue slurry pipeline conveying blockage by Lei Zhu, Fengqi Qiu, Chengyong Liu, Wenzhe Gu, Chenyang Ma, Tianqi Song, HaoPan, Peng Zhang

“…Based on this, this paper summarizes and analyzes the classification of pipeline blockage and summarizes the current pipeline conveying blockage detection technologies. It elaborates in detail on the principles and advantages and disadvantages of existing pipeline blockage detection technologies, and points out that distributed optical fiber acoustic wave sensor (DAS), as an emerging fiber optic detection technology in recent years, can achieve high-precision, large-scale, real-time dynamic and distributed acoustic detection, Compared with traditional monitoring for pipeline blockage, it is more suitable for detecting blockage in coal gangue slurry pipeline conveying; then from the sensing principle of distributed fiber optic acoustic wave sensing technology, it discusses the current status of DAS technology application, analyzes the pipeline blockage DAS detection mechanism, and verifies the feasibility of pipeline conveying blockage detection based on the distributed fiber optic acoustic wave sensing technology by building a pipeline blockage DAS detection simulation experiment system; finally, it puts forward the feasibility of distributed fiber optic acoustic wave sensing technology; finally, it puts forward the feasibility of distributed fiber optic wave sensing technology detection. …”
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GSF-YOLOv8: A Novel Approach for Fire Detection Using Gather-Distribute Mechanism and SimAM Attention by Caixiong Li, Dali Wu, Xing Zhang, Peng Wu

“…To address the current challenges in fire detection algorithms, including insufficient feature extraction, high computational complexity, limited deployment on resource-constrained devices, missed detections, false detections, and low accuracy, we developed a high-precision algorithm named GSF-YOLOv8. …”
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Trust evaluation model for distributed home photovoltaic collection scenarios in new power system by Li LI, Xiaolong WANG, Zhixin ZHANG, Rongliang SHI, Xu GUO

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Singular-Value-Based Cluster Number Detection Method by Yating Li, Jianghui Cai, Haifeng Yang, Jie Wang, Chenhui Shi, Bo Liang, Xujun Zhao, Yaling Xun

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Challenges in Detecting Ecological Interactions Using Sedimentary Ancient DNA Data by Fiona Margaret Callahan, Jacky Kaiyuan Li, Rasmus Nielsen

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Analysis of Electron Distribution Functions From the Magnetospheric Multiscale (MMS) Mission Using the Gaussian Mixture Model by Beniamino Sanò, Nathan N. Maes Anno, David L. Newman, Marty Goldman, Francesco Valentini, Denise Perrone, Giovanni Lapenta

“…Abstract Velocity distribution functions (VDFs) measured by the Magnetospheric Multiscale (MMS) mission are complex 3D data sets that can be represented as a superposition of multiple beams. …”
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Continuous-Variable Quantum Key Distribution Protocol Based on Post-Selection by Hao YU, Bao FENG, Zichun PAN, Wenhe ZHUO, Zhenwei LI

“…Compared with discrete-variable quantum key distribution (DVQKD) protocol that has been widely used in power system, the continuous-variable quantum key distribution (CVQKD), which uses continuous variables to perform QKD protocol, has such advantages as simple equipment, high detection efficiency and good compatibility, and has attracted wide attentions. …”
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Efficient Small Object Detection You Only Look Once: A Small Object Detection Algorithm for Aerial Images by Jie Luo, Zhicheng Liu, Yibo Wang, Ao Tang, Huahong Zuo, Ping Han

“…Aerial images have distinct characteristics, such as varying target scales, complex backgrounds, severe occlusion, small targets, and dense distribution. As a result, object detection in aerial images faces challenges like difficulty in extracting small target information and poor integration of spatial and semantic data. …”
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Adaptive resilient control for a class of nonlinear distributed parameter systems with actuator faults by Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan

“…Once a fault is detected, an unknown actuator fault parameter vector together with a known basis function is utilized to adaptively estimate the fault dynamics. …”
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A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos. by Shagun Sharma, Kalpna Guleria, Ayush Dogra, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…Therefore, in the proposed work, a distributed and privacy-preserved horizontal federated learning-based malignant glioma disease detection model has been developed by employing 5 and 10 different clients' architectures in independent and identically distributed (IID) and non-IID distributions. …”
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Detection of flood trends and drivers in the Taihu Basin, China by Yu Xu, Yulu Zhang, Kaixin Liu, Yanjuan Wu, Chao Gao

“…In this study, a new trend test and flood-frequency methods were adopted to detect extreme floods and their distributions based on flood-event identification. …”
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Local Outlier Detection Method Based on Improved K-means by Yu ZHOU, Hao XIA, Xuezhen YUE, Peichong WANG

“…Additionally, the KNN method cannot detect local outliers within densely distributed clusters when there is a considerable distance between normal data points. …”
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Reliability Assessment of Optical Physical Unclonable Functions Based on the Spatial Distribution of Catastrophic Failure Sites in MIM Structures by Marc Porti, Alvaro Solis, Alex Calatayud, Montserrat Nafria, Enrique Miranda

“…As it was demonstrated in previous works, the distribution of failure sites obtained this way can be used to generate optically detectable cryptographic keys in the context of Physically Unclonable Functions (PUFs). …”
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Distribution of C30 carotenoid biosynthesis genes suggests habitat adaptation function in insect-adapted and nomadic Lactobacillaceae by Tom Eilers, Marie Legein, Jari Temmermans, Jelle Dillen, Ine Vandendriessche, Koen Sandra, Peter A. Bron, Stijn Wittouck, Sarah Lebeer

“…The production of carotenoids, particularly C30 forms, has been documented in some non-photosynthetic prokaryotes. However, their function, distribution and ecology beyond photosynthesizing organisms remains understudied. …”
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Elevational adaptation and distribution of woody saplings in a mountain forest: Insights from functional traits and mycorrhizal associations by Zuhua Wang, Xia Cai, Min Liu, Haibo Li, Jiayan Jiang, Jugang Wang, Fagen Qiu

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Cognitive functioning, fat mass and physical activity in young adults by Camila Zapata, Danna García-Quevedo, Manuela Gartner, Carlos Ayala-Zuluaga, Santiago Ramos, Carlos-Augusto González-Correa, Luz-Oleyda Tapasco-Tapasco, Angélica García, David Martínez-Pernía, Joaquin Migeot, Felipe Toro, Jonathan Nanez, Juliana Osorio-Cualdrón, Antonio Mejía-Bolaño, Ianelleen Arias, Laura Barrios-Barinas, Haney Aguirre-Loaiza

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Improved Variational Mode Decomposition in Pipeline Leakage Detection at the Oil Gas Chemical Terminals Based on Distributed Optical Fiber Acoustic Sensing System by Hongxuan Xu, Jiancun Zuo, Teng Wang

“…This innovative approach significantly reduces the false alarm rate in gas pipeline leakage detection, ensuring higher detection accuracy and reliability. …”
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