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Titlebook: AI Technologies and Virtual Reality; Proceedings of 7th I Kazumi Nakamatsu,Srikanta Patnaik,Roumen Kountchev Conference proceedings 2024 Th

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41#
發(fā)表于 2025-3-28 17:47:53 | 只看該作者
Angelo Doglioni,Vincenzo Simeone experience of AI VTuber can provide a sense of leisure and entertainment for the elderly. Designing an innovative VTuber integrated with ChatGPT interaction in virtual reality offers a simple and useful interaction model that can provide a novel experience for the elderly, enhancing their leisure a
42#
發(fā)表于 2025-3-28 20:47:25 | 只看該作者
Angelo Doglioni,Vincenzo Simeoneive model. We investigated by employing a head-mounted display (HMD) for a robust quality assessment, and the results indicate our system successfully generated virtual terrain with acceptable realism.
43#
發(fā)表于 2025-3-29 01:54:23 | 只看該作者
Elia Longo,Ennio Chiesurin,Mario Florisr-resolution. Specifically, a dual-path attention block (DAB) is carefully designed for assigning more weights to high-frequency information. LDAN is constructed in the manner of stacking several DABs combining global residual skip connection. The experiment demonstrates that compared with the light
44#
發(fā)表于 2025-3-29 03:11:36 | 只看該作者
https://doi.org/10.1007/978-3-030-43953-8blendshape weights. Additionally, we incorporated complementary methods for facial expressions that landmarks did not represent well and gave special attention to eye expressions. We have demonstrated the superiority of our approach to previous research in qualitative and quantitative metrics. Our a
45#
發(fā)表于 2025-3-29 10:07:43 | 只看該作者
46#
發(fā)表于 2025-3-29 13:15:43 | 只看該作者
are also based on his already known interests and behavior patterns.? ..Gerrit Heinemann shows how intelligent action can save stationary retail in city centres and shopping centres..The content..- From stationary Retail to intelligent Retail..- Threats to the stationary retail trade..- Basic requi
47#
發(fā)表于 2025-3-29 15:39:56 | 只看該作者
48#
發(fā)表于 2025-3-29 20:41:26 | 只看該作者
Unstructured Text Classification Using NLP and LSTM Algorithmsre very difficult to be quantified during food manufacture [11]. However, various solutions have been explored to overcome this problem: sensor design and adaptation, off-line measurements, software sensors [21]. Moreover, human evaluation is widely accepted as a tool for the evaluation of the quali
49#
發(fā)表于 2025-3-30 00:17:38 | 只看該作者
50#
發(fā)表于 2025-3-30 05:09:32 | 只看該作者
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