The main problem for beekeeping farmers in Thailand or around the world is lack of work skills or work experience. This is because beekeeping is a very delicate process and must be carefully monitored with the environ...
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Over the past decade, we've witnessed a remarkable and rapid surge in the realm of high-performance computing. The entire computing landscape, encompassing cloud and fog computing, has seen an unprecedented surge ...
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The industry has developed a form factor known as the Compression Attached Memory Module (CAMM) to address the limitations of SO-DIMMs in terms of size, speed, and scalability. This paper proposes a method to minimize...
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Image inpainting has made significant progress benefiting from the advantages of convolutional neural networks (CNNs). Deep learning-based methods have shown extraordinary performance in this field. In this paper, we ...
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ISBN:
(纸本)9781728198354
Image inpainting has made significant progress benefiting from the advantages of convolutional neural networks (CNNs). Deep learning-based methods have shown extraordinary performance in this field. In this paper, we propose a novel image inpainting architecture with pure CNN that can jointly reconstruct the structure and texture of the image. Our generative network architecture (TSFC) consists of two parallel stages: structure generation and texture generation. In the structure generation stage, we use the large convolution kernel, which is highly neglected in modern networks, using the effective perceptual field of the large convolution kernel to enhance the perception of overall structural features. In the texture generation stage, we use the small convolution kernel to extract local texture features. Qualitative and quantitative experimental results on CelebA-HQ and Paris Street View datasets demonstrate the effectiveness and superiority of our method.
Fake news and its detection are now a critical issue in the world that needs to be solved as its propagation has many consequences. Because of social media's low cost and simple accessibility, as well as the quick...
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Honeybees are essential for pollination in agriculture. This paper presents a smart beehive frame for multi-parameter monitoring. The system is based on opto elements that emit IR light to the honeycomb and measure th...
This investigation provides an innovative artificial intelligence (AI) concept for studying modern French electronic literary poetic works, which is consistent with the global Sustainability Management Mission and use...
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This research presents a system based on a machine learning system with artificial intelligence. The approach presented uses a camera to detect people who are not wearing face masks and it is hoped that it can detect ...
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Soil Volumetric Water Content (VWC) is a crucial parameter for agriculture. In recent years, LoRa-based Internet of Underground Things (IoUT) has been developed rapidly. In this paper, we propose a method for measurin...
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development planning documents are very important for the success of village development. However, villages often face challenges in planning due to the large number of activities that must be accommodated, limited fu...
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