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Titlebook: Intelligent Computing Theories and Application; 17th International C De-Shuang Huang,Kang-Hyun Jo,Abir Hussain Conference proceedings 2021

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發(fā)表于 2025-3-26 23:36:14 | 只看該作者
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發(fā)表于 2025-3-27 02:03:29 | 只看該作者
Recognition of Multiple Panamanian Watermelon Varieties Based on Feature Extraction Analysiselon taking into account its features, despite its variety. To improve the efficacy of the proposed method the images were preprocessed using morphological and adaptive threshold methods. Also, to extract the candidate region for feature extraction, vertical and horizontal histograms were used. Fina
33#
發(fā)表于 2025-3-27 05:40:25 | 只看該作者
STDA-inf: Style Transfer for Data Augmentation Through In-data Training and Fusion Inferenceed datasets, and neglects the impact of style transfer on the inference procedure. In this paper, we propose a novel method . for image classification: .tyle .ransfer for .ata .ugmentation through .-data training and .usion inference. Firstly, we acquire the transferred training data in an adaptive
34#
發(fā)表于 2025-3-27 13:31:14 | 只看該作者
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發(fā)表于 2025-3-27 14:00:25 | 只看該作者
Uncertainty-Guided Pixel-Level Contrastive Learning for Biomarker Segmentation in OCT Imagesructure of the retina. The type and size of biomarkers are crucial in the classification and grading of diseases. Hence, automatic segmentation of biomarkers is important to quantitative analysis, which can reduce a heavy workload. In this paper, we propose a novel deep learning-based method for bio
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發(fā)表于 2025-3-27 17:59:34 | 只看該作者
37#
發(fā)表于 2025-3-28 00:58:23 | 只看該作者
Wall-Following Navigation for Mobile Robot Based on Random Forest and Genetic Algorithmin addition, the existing “black box” navigation control model is difficult to verify, hard to achieve static and lack of interpretability. Therefore, in this paper, a navigation method for wall-following mobile robots based on random forest and genetic algorithm is proposed. In our proposed method,
38#
發(fā)表于 2025-3-28 04:14:53 | 只看該作者
A Study of Algorithms for Controlling the Precision of Bandwidth in EMI Pre-testingand lower possibility of error caused by human, etc. With the development of the industrial automation, automated EMI testing has become a popular demand in the EMI field. However, compared with a traditional manual approach which can easily change the Resolution Bandwidth (RBW) of the spectrometer
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發(fā)表于 2025-3-28 06:48:06 | 只看該作者
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發(fā)表于 2025-3-28 12:18:45 | 只看該作者
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