Artificial Intelligence in Education Technologies: New Development and Innovative Practices
Proceedings of 2022 3rd International Conference on Artificial Intelligence in Education Technology
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18 Result(s)
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Tian**ng Wang
Artificial Intelligence
Computers and Education
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Chapter and Conference Paper
Energy Savings Potential for Buildings in Hot Summer and Cold Winter Zone
energy savings potential for buildings in different climate zones differs greatly. This paper carried out computer simulations to determine the energy loss breakdown of a typical building to give solutions to ...
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Chapter and Conference Paper
Research on Discussion of Gender Difference in Preference for Smart Watches Based on Fuzzy Analytic Hierarchy Process
As wearable devices have been intelligentized in recent years, many high-teach companies launch smart watches successively. These companies constantly upgrade shapes and functions of smart watches. However, ma...
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Chapter and Conference Paper
Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection
Early mild cognitive impairment (EMCI) is an early stage of MCI, which can be detected by brain connectivity networks. To detect EMCI, we design a novel framework based on multi-scale enhanced GCN (MSE-GCN) in...
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Chapter and Conference Paper
Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder
Hereditary mental illness (e.g., obsessive-compulsive disorder (OCD)) shall reduce the quality of daily life of patients. To detect OCD objectively, sparse learning is an effective method for constructing a brain...
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Chapter and Conference Paper
Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis
Subjective cognitive decline (SCD) is an early stage of mild cognitive impairment (MCI) and may represent the first symptom manifestation of Alzheimer’s disease (AD). Early diagnosis of MCI is important becaus...
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Chapter and Conference Paper
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease
Congenital heart disease (CHD) is the most common type of birth defects, which occurs 1 in every 110 births in the United States. CHD usually comes with severe variations in heart structure and great artery co...
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Chapter and Conference Paper
Towards Accurate and Interpretable Surgical Skill Assessment: A Video-Based Method Incorporating Recognized Surgical Gestures and Skill Levels
Nowadays, surgical skill assessment becomes increasingly important for surgical training, given the explosive growth of automation technologies. Existing work on skill score prediction is limited and deserves ...
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Chapter and Conference Paper
ICA-UNet: ICA Inspired Statistical UNet for Real-Time 3D Cardiac Cine MRI Segmentation
Real-time cine magnetic resonance imaging (MRI) plays an increasingly important role in various cardiac interventions. In order to enable fast and accurate visual assistance, the temporal frames need to be seg...
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Chapter and Conference Paper
Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease
Significant memory concern (SMC) is the earlier stage of mild cognitive impairment (MCI), and its early treatment is quite vital to delay further disease-induced deterioration. To predict the deterioration, gr...
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Chapter and Conference Paper
Feature Extraction Method of EEG Signal Based on Synchroextracting Transform
Brain-Computer Interface (BCI) can convert the electrical activity signal of the cerebral cortex into a computer or other machine language to directly control external equipment. Aiming at the problem of low r...
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Chapter and Conference Paper
Semi-supervised Augmented 3D-CNN for FLARE22 Challenge
Abdominal organ segmentation has been used in many important clinical applications, however, cases with accurate labels require huge manual labour and financial resources. As a potential alternative, semi-supe...
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Chapter and Conference Paper
Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field Images
iPSC-derived mesenchymal stem cells (iMSCs) can differentiate into a wide range of mesodermal cell types for tissue repair, and play an important role in cell therapy in regenerative medicine. The therapeutic ...
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Chapter and Conference Paper
Finding Hidden Patterns in High Resolution Wind Flow Model Simulations
Wind flow data is critical in terms of investment decisions and policy making. High resolution data from wind flow model simulations serve as a supplement to the limited resource of original wind flow data col...
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Book and Conference Proceedings
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Book and Conference Proceedings
Artificial Intelligence in Education Technologies: New Development and Innovative Practices
Proceedings of 2023 4th International Conference on Artificial Intelligence in Education Technology
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Chapter and Conference Paper
Towards Effective Teacher Professional Development for STEM Education in Hong Kong K-12: A Case Study
STEM education has taken on high importance in Hong Kong K-12 education landscape. Despite policy advocacy and curriculum endeavour, the quality of STEM education varies significantly between schools. Research...
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Chapter and Conference Paper
A Relational Instance-Based Clustering Method with Contrastive Learning for Open Relation Extraction
Unsupervised text representations significantly narrow the gap with supervised pretraining, and relation clustering has gradually become an important method of open relational extraction (OpenRE). However, dif...
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Chapter and Conference Paper
Global-Aware External Attention Deep Model for Sequential Recommendation
The sequential recommender plays a major role in contemporary recommendation systems, which shows the strong ability to model sequential patterns among the dataset. The classic sequential recommenders utilize...
