Price comparison websites (PCWs) have become integral to the online shopping experience, enabling consumers to make informed decisions by comparing prices, features, and reviews from multiple retailers. These platform...
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As processing technology advances rapidly and image editors become widely used, computer-generated (CG) images are becoming increasingly lifelike, making it harder and harder to distinguish them from photographic (PG)...
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Power system fault analysis is a process that establishes the bus voltages and line currents when various fault types occur. Three-phase balanced faults and unbalanced faults are two categories of power system faults....
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We consider a problem of vector support recovery using noisy linear measurements. We show how several looking very differently problem statements can be reduced to it, including coding for multiple access channels, gr...
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Traditional relation extraction methods are usually based on single text data, and other modality information such as image and video can improve the effect of text relation extraction. Aiming at the problem of hetero...
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The learning rate of a CNN determines the efficiency of the neural network. In brain tumor detection, the learning rate and the optimization function plays a key role in deciding the final output. The Optimized Stocha...
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Image denoising has always been a hot research topic in the field of computer vision, playing an important role in improving image quality and accuracy. In this paper, a method for image denoising based on residual ne...
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To provide the industry with an algorithm capable of accurately calculating comment statement tags, this paper proposes a research method based on feature engineering and BILSTM technology. First, the paper uses big d...
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Edge computing is one of the important techniques in visual recognition system. In this paper, the application of edge computing in visual recognition system is introduced by taking the automobile water pump screw rec...
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In the domain of Interactive Systems (IS), machine learning (ML) emerges as a profound, user-friendly, and accurate approach to enhancing emotional intelligence in digital systems. This research work focuses on facial...
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