Artificial Intelligence has revolutionized various sectors, but its successful implementation encounters significant security, ethics, and reliability challenges. This study presents a web-based tool addressing securi...
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This paper presents a novel approach for dense scene text detection called DSSNet (Dense Script Spotter Network). The network leverages ResNet and FPN for feature extraction, employing multi-scale feature fusion and T...
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In this work, we have designed a terahertz antenna for riboflavin detection. Three layers make up the structure of the microstrip antenna: the bottom layer models the ground plane, the middle layer models the substrat...
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Image segmentation is a crucial task in computer vision that involves dividing an image into distinct regions, with each region containing pixels that share similar attributes. Traditional methods like Otsu, Sobel, an...
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This paper investigates a novel belt-type water surface garbage collector, designed to enhance the intelligence and efficiency of garbage collection systems. To address the mechanical structure and control system of t...
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Despite recent advances in Video Object Segmentation (VOS), state-of-the-art models still face challenges with occlusion, fast motion, and long-term tracking. These difficulties often result in a noticeable degradatio...
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In order to meet the requirement of multiple target parameters prediction under reactor accident, a multi-input multi-output prediction model based on recurrent neural network is proposed. Based on the data samples fr...
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In the field of construction, the application of Building Information Modeling (BIM) technology combined with computer vision offers a promising avenue for enhancing the quality control and intelligent monitoring of v...
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In recent years, toxic comment detection evolved as important in detecting hatred and harmful content present in user-generated content. However, a few challenges are raised in detecting toxic comments like context se...
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To address potential calibration errors that may occur during the acquisition of pulse images based on binocular vision, as well as inaccuracies in three-dimensional(3D) reconstruction, a data calibration model based ...
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