the proceedings contain 300 papers. the topics discussed include: generative AI in focus : a comprehensive review of leading models across modalities;improving performance of supervised machine learning algorithms on ...
ISBN:
(纸本)9798331529635
the proceedings contain 300 papers. the topics discussed include: generative AI in focus : a comprehensive review of leading models across modalities;improving performance of supervised machine learning algorithms on small datasets;automated detection of tight junction damage in corneal endothelium using machine learning;smart waste management system using deep learning;gesture recognition technology in smart gloves enhanced by machine learning;design and implementation of a forest flame identification system;exploring advanced approaches: a comprehensive analysis of machine learning and deep neural networks in spectrum sensing applications;leveraging deep quantum convolutional neural networks for student facial expression identification and mode assessments;and real-time vehicle detection and road condition prediction for smart urban areas.
In response to the problem that traditional Grab Cut algorithms cannot achieve automatic segmentation of foreground targets, this paper proposes an automatic segmentation algorithm that combines deep learning and grap...
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ISBN:
(纸本)9798350375084;9798350375077
In response to the problem that traditional Grab Cut algorithms cannot achieve automatic segmentation of foreground targets, this paper proposes an automatic segmentation algorithm that combines deep learning and graph cutting. Firstly, the YOLOv4 model is trained on a common dataset to achieve automatic recognition of multiple targets, and the coordinate parameters of the automatic recognition box are converted into vertex coordinate parameters for automatic annotation. then, the Grab Cut algorithm is iterated to complete image segmentation. At the same time, in order to further improve the accuracy of image segmentation, the regression box loss function of the YOLOv4 model has been improved. the experimental results show that the automatic segmentation algorithm proposed in this paper has better segmentation performance than the traditional unsupervised MeanShift algorithm and is close to the Grab Cut algorithm. After improvement, the automatic segmentation algorithm has improved in both IoU and PA values.
this study delves into the advancement of intelligent decision-making in robotics through the integration of deep learning technologies. With robotics becoming increasingly vital in industry, healthcare, and household...
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this paper proposes a radar high-resolution range profile (HRRP) recognition algorithm based on ResNet, combined withthe SE (Squeeze-and-Excitation) channel attention mechanism. In most current HRRP target recognitio...
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the intelligent monitoring system of the power grid is a critical support for ensuring the safe and stable operation of the grid, and enhancing its intelligence level is of great significance. Addressing issues such a...
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To enhance real-time image recognition capabilities, an efficient embedded image recognition system was designed using the YuLong810A chip. By optimizing the hardware platform, image preprocessing, feature extraction ...
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the intelligent Farming System leverages Artificial Intelligence (AI) to transform traditional farming practices, enhancing productivity and sustainability. Designed for both experienced and new farmers, it features A...
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Neuromorphic chips based on spiking neural networks achieve highly integrated functions of information perception, processing, and learning by mimicking the compact human brain cortex leveraging spatiotemporally spars...
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the most prevalent object detection algorithms are predominantly developed using NVIDIA's Compute Unified Device Architecture (CUDA) and are optimised for NVIDIA hardware. In view of the growing complexity and vol...
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this study aims to enhance the interaction experience and immersion of virtual reality (VR) systems. By designing and implementing an intelligent algorithm-based VR interaction system, innovative technologies such as ...
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