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Titlebook: Intelligent Systems and Pattern Recognition; Third International Akram Bennour,Ahmed Bouridane,Lotfi Chaari Conference proceedings 2024 Th

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A Semi-supervised Teacher-Student Model Based on MMAN for Brain Tissue Segmentationposed method consists of two main steps. The first one aims to exploit the huge unlabeled data to increase the volume of the training set. The second step, it follows the strategy of the Teacher-Student technique in an iterative manner to enhances the performance of our model. The segmentation proce
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A Novel Approach for Recognition and Classification of Hand Gesture Using Deep Convolution Neural Nes 15,200 images in our personal datasets, categorized into 32 classes of standard Arabic characters, and classified, normalized, and detected using a VGGNet model and ResNet50. In this study, the success of two different training and testing exercises performed without fine-tuning and with fine-tuni
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A New Method for Microscopy Image Segmentation Using Multi-scale Line Detectionsed method exploits the multi scales line detection method, which presents an effective method for automatically extracting blood vessels from retinal images to detect boundaries of cells, cell nuclei and the concave points that split the contours into segments. The effectiveness of the method has b
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Passing Heatmap Prediction Based on Transformer Model Using Tracking Data for Football Analyticsption could be reached to measure players’ off-ball movement contribution to defensive performance. Moreover, this model could provide football analysts a better tool and metric to understand how players’ movement over time contributes to the game strategy and final victory.
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Using Blockchain Technology for Ranking the Common Core Cycles’ Students in Algerian Universitiesy mostly on central storage devices managed by a single authority also makes them more susceptible to the loss of this data in the event that a central server fails or is compromised by hacking operations. The goals of this article are to create a system based on blockchain technology for the automa
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