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Liming Lao, Dangkui Du and Pengzhan Chen
This paper proposes a novel prediction model termed the social and spatial attentive generative adversarial network (SSA-GAN). The SSA-GAN framework utilizes a generative approach, where the generator employs social attention mechanisms to accurately mod...
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Wei Wang, Ning Xu, Sina Dang, Xuefeng Hong and Jue Qu
In MR (mixed reality) environments, visual searches are often used for search and localization missions. There are some problems with search and localization technologies, such as a limited field of view and information overload. They are unable to satis...
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Fei Ma, Yang Li, Shiguang Ni, Shao-Lun Huang and Lin Zhang
Audio-visual emotion recognition is the research of identifying human emotional states by combining the audio modality and the visual modality simultaneously, which plays an important role in intelligent human-machine interactions. With the help of deep ...
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Nirmalya Thakur and Chia Y. Han
This work makes multiple scientific contributions to the field of Indoor Localization for Ambient Assisted Living in Smart Homes. First, it presents a Big-Data driven methodology that studies the multimodal components of user interactions and analyzes th...
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Nan Xia, Liang Cheng and Manchun Li
Due to the development of globalization, transnational activities are more frequent and evaluations of current accessibility are the basis for accessibility improvements. Accessibility evaluation indices generally contain two parts: travel time and trave...
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George Albert Florea and Radu-Casian Mihailescu
Deep learning (DL) models have emerged in recent years as the state-of-the-art technique across numerous machine learning application domains. In particular, image processing-related tasks have seen a significant improvement in terms of performance due t...
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Paul J. Croft
The rapid rise and implementation of Smart Systems (i.e., multi-functional observation and platform systems that depict settings and/or identify situations or features of interest, often in real-time) has inversely paralleled and readily exposed the redu...
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Qing Zhu, Junxiao Zhang, Yulin Ding, Mingwei Liu, Yun Li, Bin Feng, Shuangxi Miao, Weijun Yang, Huagui He and Jun Zhu
Although abundant spatiotemporal data are collected before and after landslides, the volume, variety, intercorrelation, and heterogeneity of multimodal data complicates disaster assessments, so it is challenging to select information from multimodal spat...
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Mohammed Melaisi, David Rojas, Bill Kapralos, Alvaro Uribe-Quevedo and Karen Collins
Touch plays a fundamental role in our daily interactions, allowing us to interact with and perceive objects and their spatial properties. Despite its importance in the real-world, touch is often ignored in virtual environments. However, accurately simula...
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Liming Wang, Brian Gregor, Huajie Yang, Tara Weidner, Tony Knudson
Integrated land use and transportation models have evolved along a spectrum from simple sketch planning models to complex microsimulation models. While each has its niche, they are largely unable to balance the flexibility and realism of microsimulation ...
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