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Chapter and Conference Paper
Social Robots for Older Adults in Medical Contexts
Social robots are designed for social interactions with humans and have been significantly employed across various fields in recent decades. For example, in medical fields, social robots can provide companions...
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Chapter and Conference Paper
A Study on the Impact of Instagram Influencers Endorsement to Purchase Intention Beauty Brand
As social media becomes mainstream in our society, Instagram has become a platform for reaching potential customers. Companies partner with Instagram influencers to promote their products. This study investiga...
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Chapter and Conference Paper
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning
While neural networks-based photo processing solutions can provide a better image quality compared to the traditional ISP systems, their application to mobile devices is still very limited due to their very hi...
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Chapter and Conference Paper
Integrating the Kano Model and IPA to Measure Service Quality of Pet Grooming
In recent years, there are huge business opportunities for pet grooming services, but the market competition has become increasingly fierce. In order to stand out in this competitive environment, operators nee...
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Chapter and Conference Paper
Expandable-Convolutional-Block Neural Inference with Spatial-Fused Multi-resolution Features and Terse Convolution for IoT-Based Intelligent Automated Systems
We proposed two model compression methods by adjusting the structure of the deep network model, aiming to provide a small-sized model and realize the application requirement of edge computing. Edge Device has ...
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Chapter and Conference Paper
Research on Aesthetic Perception of Artificial Intelligence Style Transfer
At present, there is still room for evolution in style transfer of open source programs. This research uses open source code for style transfer on GitHub. In addition, it supports the development of online AI ...
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Chapter and Conference Paper
Improving Accuracy of Peacock Identification in Deep Learning Model Using Gaussian Mixture Model and Speeded Up Robust Features
Data set is a most crucial aspect for the object recognition by the deep learning. The effect of training a deep learning model would be not good with an insufficient quantity of the data set. For example, the...
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Chapter and Conference Paper
Estimation of 3-D Foot Parameters Using Hand-Held RGB-D Camera
Most people choose shoes mainly based on their foot sizes. However, a foot size only reflects the foot length which does not consider the foot width. Therefore, some people use both width and length of their f...
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Chapter and Conference Paper
A Direction-Sensitive Routing Protocol for Underwater Wireless Sensor Networks
Underwater wireless sensor networks are expected to explore natural undersea resources and gathering of scientific data in aqueous environments. The characteristics of mobile underwater sensor networks, such a...
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Chapter and Conference Paper
A Method for Calibrating a Motorized Object Rig
Object Movies (OMs) have been successfully used in many applications. However, the techniques for acquiring OMs still need to be improved if high-quality and efficient OMs are desired. In this paper, we presen...
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Chapter and Conference Paper
Augmented Stereo Panoramas
Panoramas and object movies are popular image-based techniques for modeling and rendering 3D scenes and objects. In this paper, we present a method which allows the authors of virtual exhibition systems to pro...