A Deep-Sea Broadband Sound Source Depth Estimation Method Based on the Interference Structure of the Compensated Beam Output

This paper proposes an underwater broadband target depth estimation method based on the multipath arrival structure in medium and short-range deep-sea Anti-Perspirant environments.The proposed approach involves separating the multipath rays arriving at the vertical line array using the matched filtering technique.The combined beamforming is then ap

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Incidence and Pattern of Mandibular Impacted 3rd Molars and Their Relationship with the Mandibular Canal in Population of Jizan Province of Saudi Arabia: A Retrospective Radiographic Study

Introduction: Impacted mandibular third molars pose challenges in dental practice, often requiring surgical intervention.This retrospective study aims to analyze the demographics, impaction patterns, and anatomical relationships of impacted mandibular third molars among Saudi patients.Methodology: Data from 722 patients visiting the Department of M

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Analysis of object detection accuracy based on the density of 3D point clouds for deep learning-based shipyard datasets

3D point clouds are a crucial data format for accurately capturing geometric information in large-scale industrial environments such as shipyards.Deep learning-based object detection technology using 3D point clouds enables automated production management and process optimization.However, the large volume characteristic of 3D point clouds remains a

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