With the problems of handling single-feature and overlooking user preferences in the recommendation algorithms, this paper proposes a Recurrent Neural NetWork-based multi-feature Hybrid Recommendation Model (RN-MHRM)....
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作者：
Nandhini, T.J.Thinakaran, K.
Saveetha School of Engineering Department of Computer Science and Engineering Chennai India
Object detection algorithms must first identify all the objects inside an image before machine vision can properly categorize and localize them. Many methods have been proposed to handle this problem, with most of the...
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Photovoltaic-based renewable energy production is constantly developing and becoming an increasing part of mod-ern energy markets. The power efficiency of a PV system is one of the most challenging problems, especiall...
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With the increasing richness of the functions carried on top of the car, the amount of data generated on the nodes carried on the vehicle CAN bus is getting bigger and bigger, and it takes more and more time to upload...
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The Signal-to-Noise Ratio (SNR) in wireless communication is an important indicator that effectively reflects the quality information of communication signals. Traditional SNR estimation methods have problems such as ...
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With the rapid development of natural language processing technologies in computerscience, machine learning models have demonstrated remarkable capabilities in handling complex textual data. However, traditional mach...
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Brain tumor surgeries are surgical procedures aimed at removing cancerous tumors. During brain tumor surgery, deformations in the brain or changes in brain tissue position, known as brain shift, occur and are a common...
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Proper customer service is the key to increasing customer retention and brand credibility in financial banks. This can be achieved by helping solve customers' issues through their complaints. This study explores t...
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Aiming at the problem that the cloud environment data sharing scheme relies on trusted third parties and user identity privacy protection, a data sharing scheme based on localized differential privacy and attribute en...
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