59 Result(s)
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Article
A hybrid deep learning network for forecasting air pollutant concentrations
Air pollution has become a serious problem. Thus, this study formulated a method based on a multi-input multi-output, hybrid, deep neural network for air quality prediction. In our method, the Pearson correlat...
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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
Using Interactive Flat Panel Display for STEM Education Based on SAMR Model
This study aims to introduce the course design of integrating educational technology into a STEM (Science, Technology, Engineering and Mathematics) course through Interactive Flat Panel Display (IFPD) to enhan...
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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
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
Product Innovation Through A3 Problem-Solving: Improving the Design of a Commercial Beverage Dispenser
The purpose of this study is to demonstrate that A3 problem-solving is able to enable design innovation in product development. A company that developed a commercial beverage dispenser participated in this stu...
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Article
Open AccessLearning to Caricature via Semantic Shape Transform
Caricature is an artistic drawing created to abstract or exaggerate facial features of a person. Rendering visually pleasing caricatures is a difficult task that requires professional skills, and thus it is of...
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Chapter and Conference Paper
Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection
Pulmonary nodule detection from lung computed tomography (CT) scans has been an active clinical research direction, benefiting the early diagnosis of lung cancer related disease. However, state-of-the-art deep...
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Chapter and Conference Paper
Exploring the Impact of Artificial Intelligence Learning Platforms on Interest in and Attitudes Toward Learning
Artificial Intelligence (AI) learning technologies and research in deep learning are rapidly expanding, and there is a lack of AI learning platforms to support students in related courses. At present, an under...
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Chapter and Conference Paper
Develo** a Knowledge-Based System for Lean Communications Between Designers and Clients
Design is all about communication. Clients often have a difficult time expressing their needs to designers through the proper channels, leaving many designers struggling to meet the demands placed on them. The...
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Chapter and Conference Paper
Implementation of Lean Product Development in a University Course and an Industry Project: Lessons Learned from a Comparative Study
The global competition in products and business is becoming intense. Most companies hope to stay ahead of their competitors during global expansion. To stay competitive in the marketplace, Lean Product Develop...
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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
Construction of Virtual Metrology Cloud Platform with Machine Learning Tools for Providing Factory-Wide Manufacturing Service
In recent years, more and more high-tech manufacturing plants have used virtual metrology technology to monitor the production quality of machines and processes. The principle of virtual metrology operation c...
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Chapter and Conference Paper
Novel Reversible Acoustic Steganography Based on Carrier Orthogonality
A well-known technology called steganography is a strategy of hiding secrets that nobody will suspect the existence of secrets in cover medium. This paper indicates a novel and reversible steganographic protocol ...
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Chapter and Conference Paper
Applying Holo360 Video and Image Super-Resolution Generative Adversarial Networks to Virtual Reality Immersion
Super-resolution deep learning methods focus on image processing solutions and discussions in two-dimensional super-resolution image processing NOT for 360 equirectangular images. Therefore, the motivation of ...
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Chapter and Conference Paper
Quad-Partitioning-Based Robotic Arm Guidance Based on Image Data Processing with Single Inexpensive Camera For Precisely Picking Bean Defects in Coffee Industry
In this paper, we propose a bean defect picking system with the quad-partitioning-based robotic arm guidance method, aimed at automatically and precisely picking bean defects in coffee industry. We assume the ...
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Chapter and Conference Paper
Enhancing Cultural Engagement: A Heuristic Evaluation of World Cultural Heritage Websites
Tourists usually visit cultural heritage websites before they travel to the actual sites. The design of the websites thus influences how an individual expect from the historical sites. This study aimed to inve...
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Chapter and Conference Paper
Cross-View Action Recognition Using View-Invariant Pose Feature Learned from Synthetic Data with Domain Adaptation
Recognizing human activities from unknown views is a challenging pr...
