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Titlebook: Quantitative Psychology; The 88th Annual Meet Marie Wiberg,Jee-Seon Kim,Heungsun Hwang,Hao Wu,Tr Conference proceedings 2024 The Editor(s)

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發(fā)表于 2025-3-28 17:43:27 | 只看該作者
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發(fā)表于 2025-3-29 05:59:34 | 只看該作者
Dandan Tang,Xin Tongs to increase efficiency and competitive advantages open industry and manufacturing sectors to a modern and unusual solutions well known from completely different applications. In this article we will be focusing on a concept of time perspective in Extended Reality applications, and interactions wit
45#
發(fā)表于 2025-3-29 08:07:08 | 只看該作者
Elaine Ding,Adelle Pushparatnam,Jonathan Seiden,Estefania Aveda?o,Ezequiel Molina,Marie-Helene Clouts our understanding of the physical mechanisms behind medical interventions and opens the door to more effective and personalized clinical hyperthermia, which could lead to improved patient outcomes and advancements in medical management. The goal is to design and implement a Physics-Informed Neural
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發(fā)表于 2025-3-29 14:20:39 | 只看該作者
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發(fā)表于 2025-3-29 16:46:00 | 只看該作者
Hanna Kim,Jee-Seon Kimock price chart plus stock volume chart. We first construct the stock chart with professional stock traders’ visual attention (SPSTV) dataset, which contains 150 stock charts images associated with eye-movement data from 10 professional stock traders. Based on the SPSTV dataset, the transfer learnin
48#
發(fā)表于 2025-3-29 23:10:34 | 只看該作者
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發(fā)表于 2025-3-30 03:35:08 | 只看該作者
Peter J. Johnson,Jay Verkuilenn. Existing event-to-image reconstruction (E2IR) methods mostly adopt supervised learning approaches. However, it’s hard to collect ground-truth images for real events. To tackle this challenge, we present a novel unsupervised E2IR method based on domain adaption (DA) in this paper. First, we design
50#
發(fā)表于 2025-3-30 07:19:24 | 只看該作者
Dongmei LiHR) version using an aligned HR color image as guidance. The effective utilization of the HR color image to guide the depth image super-resolution process is a critical consideration in algorithm design. In this paper, we propose a novel asymmetric channel-spatial fusion (ACSF) module to address thi
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