A SENSOR SYSTEM FOR DETECTION OF HULL SURFACE DEFECTS

A Sensor System for Detection of Hull Surface Defects

This paper presents a sensor system for detecting defects in ship Tree hull surfaces.The sensor was developed to enable a robotic system to perform grit blasting operations on ship hulls.To achieve this, the proposed sensor system captures images with the help of a camera and processes Flap Discs them in real time using a new defect detection metho

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Case Report: Pseudomeningeosis and Demyelinating Metastasis-Like Lesions From Checkpoint Inhibitor Therapy in Malignant Melanoma

Immune checkpoint inhibitors (ICIs) have considerably expanded the effective treatment options for malignant melanoma.ICIs revert tumor-associated immunosuppression and potentiate T-cell mediated tumor clearance.Immune-related neurologic adverse events (irNAEs) manifest in the central (CNS) or peripheral nervous system (PNS) and most frequently pre

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A study of combination of autoencoders and boosted Big-Bang crunch theory architectures for Land-Use classification using remotely sensed imagery

Abstract The research introduced a new method for land-use classification by merging deep convolutional neural networks with a modified variant of a metaheuristic optimization technique.The methodology involved utilizing the VGG-19 model for feature extraction, dimensionality reduction, and a stacked autoencoder optimized with a boosted version of

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Motion planner of mobile robots for obstacles in occluded areas

Motion planning for mobile robots considering occluded obstacles is a navigation challenge in dynamic environments.If an obstacle suddenly appears from the occluded area, a robot might collide with the obstacle.This is the occlusion problem.Therefore, this paper proposes a novel motion planner, Velocity Obstacle for Occlusion, VOO.The Matcha Scoop

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