Miller, Tom Dimopoulos, Michael Siliski, "Behind the Scenes of Google Maps Navigation: Enabling actionable user feedback at scale", CHI 2010 Extended Abstracts on Human Factors in Computing Systems, ACM, New York, NY, pages 3763-3768, 2010....
helping businesses gather comprehensive insights into customer experiences. It excels in managing feedback from these touchpoints by capturing user sentiment, categorizing and prioritizing feedback, and providing impact-first roadmaps. Its advanced analytics provide predictive insights, enabling you to antic...
Joint torque feedback is a new and promising means of kinesthetic feedback imposed by a wearable device. The torque feedback provides the wearer temporal and spatial information during a motion task. Nevertheless, little research has been conducted on qu
These results together indicated that alpha NF training had no impact on the alpha activity in the modified Sternberg task compared to the sham control group. Behavioral results Figure 2 presents the performances of the modified Sternberg task, Corsi-block tapping task, and Color-recall task in ...
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& Hu, R. Point cloud completion via structured feature maps using a feedback network. Comput. Visual Media 9, 71–85 (2023). Article Google Scholar Yan, X. et al. Fbnet: Feedback network for point cloud completion. In European Conference on Computer Vision. 676–693 (Springer, 2022)....
we develop a conceptual framework and system-theoretic process model to synthesise some of the key ideas. The conceptual framework maps the insights that can be gained by appreciating the DDP in terms of the feedback systems within it. The process model integrates ideas from some previously distin...
pre-computed saliency maps[google drive] [baidu yun] (Fetch Code: jjhs) Usage Clone this repo into your computer git clone https://github.com/ArcherFMY/AFNet.git Cd toAFNet/caffe, follow theofficial instructionsto build caffe. We provide our make filemy-Makefile.configin folderAFNet/caffe...
Wind-current feedback also provides a net energy sink for internal tides, removing energy at a rate of 0.2 mW/m[Math Processing Error]2 on average, corresponding to 8% of the local internal tide generation at the Mendocino ridge. The temporal variability and modal distribution of this energy...
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