699 Result(s)
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Chapter and Conference Paper
Evaluation of the Effect of Voice Technology in a Game Teaching E-Book on English Learning
The progress of modern technology has led to diversified teaching methods. Currently, many teaching tools are gradually being combined with technology to create interactive experiences that differ from those o...
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Chapter and Conference Paper
MT-TCCT: Multi-task Learning for Multimodal Emotion Recognition
Multimodal emotion recognition is an emerging research field, which aims to capture affective information from multimodal data, such as natural language, facial expression, and voice intonation. However, most ...
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Chapter and Conference Paper
A Study of Relationship Between Dharma Drum Mountain Website Design and Zen
Online marketing is not only a trend but a pioneering industry. Alongside the development of digital technology and all kinds of service websites, the internet has become a new media that is widely used in our...
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Chapter and Conference Paper
3D Global Fourier Network for Alzheimer’s Disease Diagnosis Using Structural MRI
Deep learning models, such as convolutional neural networks and self-attention mechanisms, have been shown to be effective in computer-aided diagnosis (CAD) of Alzheimer’s disease (AD) using structural magneti...
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Chapter and Conference Paper
Are Graph Neural Network Explainers Robust to Graph Noises?
With the rapid deployment of graph neural networks (GNNs) based techniques in a wide range of applications such as link prediction, community detection, and node classification, the explainability of GNNs beco...
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Chapter and Conference Paper
Does a Compromise on Fairness Exist in Using AI Models?
Artificial Intelligence (AI) has been increasingly used to assist decision making in different domains. Multiple parties are usually affected by decisions in decision making, e.g. decision-maker and people aff...
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Chapter and Conference Paper
Identifying the Effective Restriction and Vaccination Policies During the COVID-19 Crisis in Sydney: A Machine Learning Approach
This study identified effective COVID-19 restriction policies and the best times to deploy them to minimise locally acquired COVID-19 cases in Sydney. We normalised stringency levels of individual COVID-19 pol...
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Chapter and Conference Paper
Collaborative Verification of Uninterpreted Programs
Given a set of uninterpreted programs to be verified, the trace abstraction-based verification method can be used to solve them once at a time. The verification of different programs is independent of each oth...
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Chapter and Conference Paper
Measuring Inconsistency in Written Feedback: A Case Study in Politeness
Feedback, indisputably, has been widely recognized as one of the most important forms of communication between teachers and students and a significant lever to enhance learning experience and success. However,...
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Chapter and Conference Paper
A Preliminary Study on the Teaching Mode of Interactive VR Painting Ability Cultivation
This paper introduces the advantages and characteristics of VR painting compared with traditional painting and analyzes its application prospects. Based on the experience in interactive VR painting teaching, w...
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Chapter and Conference Paper
Groupwise Query Performance Prediction with BERT
While large-scale pre-trained language models like BERT have advanced the state-of-the-art in IR, its application in query performance prediction (QPP) is so far based on pointwise modeling of individual queri...
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Chapter and Conference Paper
Triangle Coordinate Diagram Localization for Academic Literature Based on Line Segment Detection in Cloud Computing
The localization of triangle coordinate diagram in academic literature is an important step in the process of data mining. However, the detection of triangle coordinate diagram in academic literature mainly de...
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Chapter and Conference Paper
Accurate New Zealand Wildlife Image Classification-Deep Learning Approach
Image classification is a major machine learning problem that has a wide range of applications in the real world. The Wellington Wildlife Camera Trap dataset contains images taken from vibration triggered came...
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Chapter and Conference Paper
Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning
Given the recent outbreak of COVID-19 pandemic globally, most of the schools and universities have adapted many of the learning materials and lectures to be delivered online. As a result, the necessity to have...
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Chapter and Conference Paper
Generative Unknown-Aware Object Detection
Building object detectors can identify unknown objects, which is critical yet underexplored. An additional discriminative inference pass is generally needed to generate final classification results for “unknow...
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Chapter and Conference Paper
Real-Time Prediction of the Lane-Based Delay for Group-Based Adaptive Traffic Operations Using Long Short-Term Memory
This study proposes a deterministic real-time lane-based control delay model for traffic operations based on Long Short-Term Memory (LSTM). Our proposed framework includes a model-based approach to compute the...
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Chapter and Conference Paper
Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing
Dynamic Multi-Workflow Scheduling (DWS) in cloud is a challenging optimisation due to the dynamic nature of the problem. It requires complex map** decisions to be made under unknown dynamic events. Genetic P...
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Chapter and Conference Paper
Popularity Prediction in MOOCs: A Case Study on Udemy
Massive Open Online Courses (MOOCs) have dramatically changed how people access education. Though substantial research works have been carried out to improve students’ learning experiences, very little attenti...
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Chapter and Conference Paper
Design and Modeling of a Novel Compliant Ankle Mechanism with Flexible Slider-Crank Limbs
This paper presents the conceptual design and modeling of a novel compliant ankle mechanism, which has flexible slider-crank limbs. Two elastic beams are utilized as the springy elements to connect the sliders...
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Chapter and Conference Paper
DEKS: A Secure Cloud-Based Searchable Service Can Make Attackers Pay
Many practical secure systems have been designed to prevent real-world attacks via maximizing the attacking cost so as to reduce attack intentions. Inspired by this philosophy, we propose a new concept named d...