Results 1 to 10 of about 31,682 (156)
Entropy-Based Clustering Algorithm for Fingerprint Singular Point Detection [PDF]
Entropy, 2019 Fingerprints have long been used in automated fingerprint identification or verification systems. Singular points (SPs), namely the core and delta point, are the basic features widely used for fingerprint registration, orientation field estimation, and ...
Ngoc Tuyen Le +3 more
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A Customized Semantic Segmentation Network for the Fingerprint Singular Point Detection
Applied Sciences, 2020 As one of the most important and obvious global features for fingerprints, the singular point plays an essential role in fingerprint registration and fingerprint classification.
Jiong Chen +4 more
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Unequal Interval Dynamic Traffic Flow Prediction with Singular Point Detection
Applied Sciences, 2023 Analysis of traffic flow signals plays an important role in traffic prediction and management. As an intrinsic property, the singular point of a traffic flow signal labels a new nonsteady status.
Chang Guo, Demin Li, Xuemin Chen
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Accelerating Singular Spectrum Transformation for Scalable Change Point Detection
IEEE AccessThe Singular Spectrum Transformation (SST) is a powerful technique for Change Point Detection (CPD) and is widely applied in time series analysis to identify abrupt structural changes. Due to the involvement of the Singular Value Decomposition (SVD), the
Lucas Weber, Richard Lenz
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Recent Advancements in Lateral Flow Assays for Food Mycotoxin Detection: A Review of Nanoparticle-Based Methods and Innovations [PDF]
ToxinsMycotoxins are responsible for a multitude of diseases in both humans and animals, resulting in significant medical and economic burdens worldwide. Conventional detection methods, such as enzyme-linked immunosorbent assay (ELISA), high-performance liquid
Gayathree Thenuwara +5 more
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Applied Sciences, 2023 Two-dimensional object detection techniques can detect multiscale objects in images. However, they lack depth information. Three-dimensional object detection provides the location of the object in the image along with depth information.
Tajbia Karim +2 more
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Machines, 2023 An optimized measuring point planning and fitting method for rotor flange and spigot structures was proposed to achieve precise measurement of position and pose of the aeroengine rotors during docking processes.
Tianyi Zhou +6 more
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3D MSSD: A multilayer spatial structure 3D object detection network for mobile LiDAR point clouds
International Journal of Applied Earth Observations and Geoinformation, 2021 Point cloud-based object detection is vital and essential for many real-world applications, such as autonomous driving and robot vision. The PointPillars model has achieved the efficient detection of objects in front of a vehicle.
Zongyue Wang +7 more
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Hangkong gongcheng jinzhan, 2023 The effect of point cloud denoising is very important to the subsequent surface fitting and modeling design in 3D scanning process. How to extract feature points quickly and accurately has become a research hotspot.However,the key point of point cloud ...
LI Binpeng, MAO Jian, YANG Jie, CAI Hang
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An extended singular spectrum transformation (SST) for the investigation of Kenyan precipitation data [PDF]
Nonlinear Processes in Geophysics, 2013 In this paper a change-point detection method is proposed by extending the singular spectrum transformation (SST) developed as one of the capabilities of singular spectrum analysis (SSA).
N. Itoh, N. Marwan
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