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Mobile Device Type Substitution [PDF]
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2018 Mobile users today interact with a variety of mobile device types including smartphones, tablets, smartwatches, and others. However research on mobile device type substitution has been limited in several respects including a lack of detailed and robust analyses.
Soikkeli, Tapio, Finley, Benjamin
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CoL-GAN: Plausible and Collision-Less Trajectory Prediction by Attention-Based GAN
IEEE Access, 2020 Predicting plausible and collisionless trajectories is critical in various applications, such as robotic navigation and autonomous driving. This is a challenging task due to two major factors. First, it is difficult for deep neural networks to understand
Shaohua Liu +3 more
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An embedded bandit algorithm based on agent evolution for cold-start problem
International Journal of Crowd Science, 2021 PurposeMany recommender systems are generally unable to provide accurate recommendations to users with limited interaction history, which is known as the cold-start problem. This issue can be resolved by trivial approaches that select random items or the
Rui Qiu, Wen Ji
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Geographic Information Science & Technology Body of Knowledge, 2019 Mobile devices refer to a computing system intended to be used by hand, such as smartphones or tablet computers. Mobile devices more broadly refer to mobile sensors and other hardware that has been made for relatively easy transportability, including wearable fitness trackers.
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Mobile Phone-Based Audio Announcement Detection and Recognition for People with Hearing Impairment
Advances in Multimedia, 2018 Automatic audio announcement systems are widely used in public places such as transportation vehicles and facilities, hospitals, and banks. However, these systems cannot be used by people with hearing impairment.
Yong Ruan, Yueliang Qian, Xiangdong Wang
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Remote Sensing, 2020 Kalman filter is a commonly used method in the Global Navigation Satellite System (GNSS)/Inertial Navigation System (INS) integrated navigation system, in which the process noise covariance matrix has a significant influence on the positioning accuracy ...
Xile Gao +7 more
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Crowd intelligence evolution based on complex network
International Journal of Crowd Science, 2021 PurposeIn recent years, with the increase in computing power, artificial intelligence can gradually be regarded as intelligent agents and interact with humans, this interactive network has become increasingly complex.
Jianran Liu, Wen Ji
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High-fidelity point cloud completion with low-resolution recovery and noise-aware upsampling
Graphical Models, 2023 Completing an unordered partial point cloud is a challenging task. Existing approaches that rely on decoding a latent feature to recover the complete shape, often lead to the completed point cloud being over-smoothing, losing details, and noisy.
Ren-Wu Li +4 more
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Reliable Fusion of Stereo Matching and Depth Sensor for High Quality Dense Depth Maps
Sensors, 2015 Depth estimation is a classical problem in computer vision, which typically relies on either a depth sensor or stereo matching alone. The depth sensor provides real-time estimates in repetitive and textureless regions where stereo matching is not ...
Jing Liu +3 more
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Strain-Induced Modulation of Spin Configuration in LaCoO3
Frontiers in Materials, 2020 For oxides with octahedron ligand field, such as perovskite, spinel, and mullite, unit occupancy of eg orbital plays a key role in governing the catalytic performance of oxygen redox in the application of renewable energy storage and conversion.
Linxia Wang +7 more
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