multilingual sentiment analysis has become essential for brands targeting international customers across multiple cultures and languages as a result of the corporate world's growing globalization. To accurately co...
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The system is a face-based attendance system for students that make use of multi-CNN (Convolutional Neural Network) technology with GPS tracking. The device simplifies the process of taking attendance for both teacher...
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In recent days, Emotion recognition has garnered a lot of attention because of its important applications in human-computer interaction. Human emotion is expressed through a variety of verbal and nonverbal languages, ...
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Aiming at the problems of inaccuracy in detecting theαphase contour of TB6 titanium *** combining computer vision technology with human vision mechanisms,the spatial characteristics of theαphase can be simulated to ...
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Aiming at the problems of inaccuracy in detecting theαphase contour of TB6 titanium *** combining computer vision technology with human vision mechanisms,the spatial characteristics of theαphase can be simulated to obtain the contour ***,an algorithm forαphase contour detection of TB6 titanium alloy fused with multi-scale fretting features is ***,through the response of the classical receptive field model based on fretting and the suppression of new non-classical receptive field model based on fretting,the information maps of theαphase contour of the TB6 titanium alloy at different scales are obtained;then the information map of the smallest scale contour is used as a benchmark,the neighborhood is constructed to judge the deviation of other scale contour information,and the corresponding weight value is calculated;finally,Gaussian function is used to weight and fuse the deviation information,and the contour detection result of TB6 titanium alloyαphase is *** the Visual Studio 2013 environment,484 metallographic images with different temperatures,strain rates,and magnifications were *** results show that the performance evaluation F value of the proposed algorithm is 0.915,which can effectively improve the accuracy ofαphase contour detection of TB6 titanium alloy.
Pre-trained language models (PrLMs) demonstrate impressive performance on the sentiment analysis task. However, the large number of trainable parameters brings about heavy computational costs, which become more seriou...
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Our research aims to investigate how reinforcement learning methods can be applied to develop a movie recommendation system. We frame the issue of interactive recommendation as a contextual multi-armed bandit, where t...
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Hyperspectral image classification faces significant challenges due to high-dimensional data and variability, often leading to inefficiencies in processing and reduced classification accuracy. Existing methods struggl...
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Usability engineering is a subject that is related to Human-computer Interaction, focusing on developing elegant, flexible, user-friendly and efficient User Interfaces. In this paper, I am working on developing an onl...
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ISBN:
(数字)9798350361513
ISBN:
(纸本)9798350361513;9798350372304
Usability engineering is a subject that is related to Human-computer Interaction, focusing on developing elegant, flexible, user-friendly and efficient User Interfaces. In this paper, I am working on developing an online blueprint course for Usability engineering that could be taken by undergraduate and graduate students. This course would he a good fit for computerscience, computerengineering, Software engineering, Information Technology, Information Systems and Graphic Design majors. All the aspects of blueprint courses will be explained in great detail, starting off with a definition of a blueprint course all the way through course evaluation and review. The developed course description and objectives will be explained, as well as the selected topics for this course. The course grading criteria and scale will also be demonstrated in the paper. The seven deliverables for the developed Usability engineering course will be thoroughly covered in the paper.
The integration of deep learning with conventional structured light center extraction techniques improves the accuracy of extracting structural gold centers. The method is divided into three steps. The initial step in...
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The capacity of generative Artificial Intelligence (AI) to develop material such as writing, graphics, and music is one of its defining characteristics. Generative AI has applications in a broad variety of fields, inc...
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