Zobrazeno 1 - 10
of 12 695
pro vyhledávání: '"Lingyun, P."'
Dynamic Music Emotion Recognition (DMER) aims to predict the emotion of different moments in music, playing a crucial role in music information retrieval. The existing DMER methods struggle to capture long-term dependencies when dealing with sequence
Externí odkaz:
http://arxiv.org/abs/2412.19200
Graph neural networks (GNNs) provide important prospective insights in applications such as social behavior analysis and financial risk analysis based on their powerful learning capabilities on graph data. Nevertheless, GNNs' predictive performance r
Externí odkaz:
http://arxiv.org/abs/2412.15735
Network access detection plays a crucial role in global network management, enabling efficient network monitoring and topology measurement by identifying unauthorized network access and gathering detailed information about mobile devices. Existing me
Externí odkaz:
http://arxiv.org/abs/2412.13428
Poor sitting posture can lead to various work-related musculoskeletal disorders (WMSDs). Office employees spend approximately 81.8% of their working time seated, and sedentary behavior can result in chronic diseases such as cervical spondylosis and c
Externí odkaz:
http://arxiv.org/abs/2412.12216
In recent years, as the population ages, falls have increasingly posed a significant threat to the health of the elderly. We propose a real-time fall detection system that integrates the inertial measurement unit (IMU) of a smartphone with optimized
Externí odkaz:
http://arxiv.org/abs/2412.09980
Programming has become an essential component of K-12 education and serves as a pathway for developing computational thinking skills. Given the complexity of programming and the advanced skills it requires, previous research has introduced user-frien
Externí odkaz:
http://arxiv.org/abs/2412.09001
To address the challenges of robust data transmission over complex time-varying channels, this paper introduces channel learning and enhanced adaptive reconstruction (CLEAR) strategy for semantic communications. CLEAR integrates deep joint source-cha
Externí odkaz:
http://arxiv.org/abs/2412.08978
Autor:
Li, Zejian, Meng, Chenye, Li, Yize, Yang, Ling, Zhang, Shengyuan, Ma, Jiarui, Li, Jiayi, Yang, Guang, Yang, Changyuan, Yang, Zhiyuan, Chang, Jinxiong, Sun, Lingyun
Recent advances in text-to-image (T2I) generation have shown remarkable success in producing high-quality images from text. However, existing T2I models show decayed performance in compositional image generation involving multiple objects and intrica
Externí odkaz:
http://arxiv.org/abs/2412.08580
Online programming communities provide a space for novices to engage with computing concepts, allowing them to learn and develop computing skills using user-generated projects. However, the lack of structured guidance in the informal learning environ
Externí odkaz:
http://arxiv.org/abs/2412.05559
Autor:
Chen, Yunnong, Xiao, Shuhong, Li, Jiazhi, Zhou, Tingting, Chang, Yanfang, Zhen, Yankun, Sun, Lingyun, Chen, Liuqing
Automatically constructing GUI groups of different granularities constitutes a critical intelligent step towards automating GUI design and implementation tasks. Specifically, in the industrial GUI-to-code process, fragmented layers may decrease the r
Externí odkaz:
http://arxiv.org/abs/2412.05555