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Titlebook: Questioning Proximity - Opportunities and Challenges for Urban Planning and Mobility Policies; Paola Pucci,Giovanni Vecchio Book 2024 The

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21#
發(fā)表于 2025-3-25 03:55:28 | 只看該作者
22#
發(fā)表于 2025-3-25 09:05:49 | 只看該作者
Book 2024ter frame the actual contribution of proximity to urban and mobility planning in different places. The contributions address the conditions required for ensuring accessibility by proximity and the different planning dimensions that can support its promotion, addressing issues related to the inclusiv
23#
發(fā)表于 2025-3-25 15:30:40 | 只看該作者
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發(fā)表于 2025-3-25 19:36:06 | 只看該作者
in sensitive or copyrighted information, none of the current DocVQA methods offers strong privacy guarantees..In this work, we explore privacy in the domain of DocVQA for the first time, highlighting privacy issues in state of the art multi-modal LLM models used for DocVQA, and explore possible solu
25#
發(fā)表于 2025-3-25 23:07:04 | 只看該作者
Giovanni Vecchiosting studies have reduced the multi-round dialogue response selection problem to a classification problem. While such approaches have proven effective in retrieval-based dialogue systems, they have not fully exploited the rich contextual understanding of pre-trained models and have been unable to e
26#
發(fā)表于 2025-3-26 01:02:58 | 只看該作者
27#
發(fā)表于 2025-3-26 05:41:29 | 只看該作者
Matteo Colleoni,Luca Daconto,Simone Caiellore dependent on heavy pre-training and also complex network structures. Existing architectures are build on encoder-decoder from on-line or off-line inputs to produce . markup strings, or stroke-level graphs to generate symbol-level graphs. They all remain on a latent space, which is not directly re
28#
發(fā)表于 2025-3-26 11:16:38 | 只看該作者
Paola Pucci,Giovanni Lanza by a shaky camera due to wind is considered shaky video, while video captured by a fixed camera is considered as non-shaky video. Most state-of-the-art methods achieve the best results when exploring the concept of deep learning. The present study proposes an unsupervised approach for text spotting
29#
發(fā)表于 2025-3-26 13:52:54 | 只看該作者
Antonella Bruzzese,Alessandro Coppola and contactless usage patterns. However, with the advancement of machine learning, computers can?now learn and imitate many things through artificial intelligence.?This technology, referred to as “deepfake”, has been used to create?fake signatures, raising concerns about the security of the in-air
30#
發(fā)表于 2025-3-26 18:14:52 | 只看該作者
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