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Titlebook: Human Centered Computing; 5th International Co Danijela Milošević,Yong Tang,Qiaohong Zu Conference proceedings 2019 Springer Nature Switzer

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楼主: vein220
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Reinforcement Learning Based Signal Quality Aware Handover Scheme for LEO Satellite Communication Ng fixed terrestrial network systems in the remote area. Due to the high mobility of LEO satellites, mobility management mechanisms such as handover schemes are the key issue should be settled on leveraging the merits of LEO satellites telecommunications (e.g. lower propagation delay than GEO satelli
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A Non-contact and Unconstrained Sleep Health Monitoring System,ram (ECG), Electrooculography (EOG), Electromyography (EMG), pulse, oxygen saturation, and respiratory rate. However, in order to assess these parameters, PSG requires a variety of sensors that must make direct contact with patients’ bodies, which can affect patients’ quality of sleep during testing
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,Sentiment Analysis of Social Networks’ Comments to Predict Stock Return,d behavior factors in the decision-making. The data mining technology is widely used in the research on financial intelligence. This paper collected the investors’ comments from Social Network Sites (SNS) by crawler technology and segmented each piece of comment into words by Chinese text processing
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Customer Classification-Based Pre-sale Multi-value-chain Collaborative Mechanism Verification,obile dealers’ vehicle allocation strategy to manufacturers. It can improve the service ability of dealers and increase marketing revenue. This paper comes up with a verification method based on customer segmentation for multi-value-chain collaborative mechanism. First, we studied the process and in
发表于 2025-3-26 01:17:04 | 显示全部楼层
A Real-Time Update Approach for Visualizing Multidimensional Big Data,era. Technology of visualization is critical to analyze multidimensional data which is large-scale. Thus, the highly variability of multidimensional data leads to the necessity of improving data management efficiency by updating data in real time. Nevertheless, traditional real-time communication te
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Aspect Sentiment Classification Based on Sequence to Sequence Reinforced Learning, sentiment polarity expressed on the target in the sentence. Previous work usually distinguish the sentiment based on one-way LSTM, which are often complicated and need more training time. In this paper, motivated by the BERT from Google AI Language, we propose a novel two-way encoder-decoder framew
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