玩忽职守
发表于 2025-3-25 05:59:20
lysis is proposed for IoT smart irrigation systems. With the increase in the number of connected devices, security and data privacy are becoming an important challenge in today’s IoT applications, especially as most of these tools are increasingly vulnerable. We present a combination of fuzzy logic
惊呼
发表于 2025-3-25 07:38:18
Anatomy of the Superficial Face: Muscles of Face and Scalp, Superficial Vessels and Nerves, Major Sa nerves to the muscles of facial expression from the facial nerve (temporal, zygomatic, buccal, mandibular, cervical branches, and the posterior auricular nerve) are described. The sensory nerves to the face (branches of each of the three divisions of the trigeminal nerve or cervical nerves) are del
本能
发表于 2025-3-25 15:02:43
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Accomplish
发表于 2025-3-25 17:22:00
Introductioners which represent current research on intonation are organised into five thematic sections: (I) Overview of Intonation, (II) Prominence and Focus, (III) Boundaries and Discourse, (IV) Intonation Modelling, and (V) Intonation Technology. Within the sections the papers are arranged thematically, alt
NATAL
发表于 2025-3-25 19:58:31
International Healthcare Students in Clinical Learning Environmentserences influence international students’ learning experiences, particularly in clinical learning environments. We suggest that both students and their mentors should be provided with education in culture and communication to prepare them for professional partnerships in the clinical learning enviro
得意人
发表于 2025-3-26 00:52:37
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加入
发表于 2025-3-26 08:07:03
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POWER
发表于 2025-3-26 10:32:02
Graphical Knowledge Management in Graphics Recognition Systemsabases, according to the processings’ requirements on graphical primitives. Like this, this approach allows interoperability between processings, especially for their combination. We present a “short” system use-case of our approach to illustrate the interoperability between processings.
建筑师
发表于 2025-3-26 14:28:47
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场所
发表于 2025-3-26 17:16:50
https://doi.org/10.1007/978-3-642-77398-3, typically less than 1 h, to 18.5 h. With a single trained UniTalker model, we achieve substantial lip vertex error reductions of 9.2% for BIWI dataset and 13.7% for Vocaset. Additionally, the pre-trained UniTalker exhibits promise as the foundation model for audio-driven facial animation tasks. Fi