346 Result(s)
within
Chapter
Yi**ang Chen
English
Artificial Intelligence
Image Processing and Computer Vision
-
Chapter and Conference Paper
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization
In epidemic management, the unpredictable dynamics of outbreaks, the constraints of available resources, and the complexity of variable interactions pose a significant challenge in designing effective manageme...
-
Chapter and Conference Paper
FFANet: Dual Attention-Based Flow Field Aware Network for 3D Grid Classification and Segmentation
Deep learning-based approaches for three-dimensional (3D) grid understanding and processing tasks have been extensively studied in recent years. Despite the great success in various scenarios, the existing app...
-
Chapter and Conference Paper
A CNN-Based Real-Time Dense Stereo SLAM System on Embedded FPGA
Simultaneous localization and map** (SLAM) is the task to estimate agent’s ego-motion in the map and reconstruct the 3D geometric of an unknown environment in parallel. Although many SLAM algorithms have bee...
-
Chapter and Conference Paper
A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines
Containers are quickly gaining popularity in cloud computing environments due to their scalable and lightweight characteristics. However, the problem of Resource Allocation in Container-based clouds (RAC) is m...
-
Chapter and Conference Paper
Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust
EXplainable machine learning (XML) has recently emerged as a promising approach to address the inherent opacity of machine learning (ML) systems by providing insights into their reasoning processes. This paper...
-
Chapter and Conference Paper
A Study on Domain Adaptation for Audio-Visual Speech Enhancement
This paper presents the DA-AVSE system developed for the ASRU 2023 Audio-Visual Speech Enhancement (AVSE) Challenge. We initially employed three well-established AVSE models: MEASE, MTMEASE, and PLMEASE. These...
-
Chapter and Conference Paper
Tech United Eindhoven Middle Size League Winner 2023
The RoboCup Middle Size League (MSL) aims to promote robotics research through robots playing autonomous soccer. In this league, robots play 5 vs 5 on a field of 22 by 14 m. The research in the MSL focuses on ...
-
Chapter and Conference Paper
Joint Time-Domain and Frequency-Domain Progressive Learning for Single-Channel Speech Enhancement and Recognition
Single-channel speech enhancement for automatic speech recognition (ASR) has been extensively researched. Traditional methods usually directly learn clean target, which may introduce speech distortions and lim...
-
Chapter and Conference Paper
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling
Genetic Programming (GP) is a well-known technique for generating dispatching rules for scheduling problems. A simple and cost-effective local search technique for many-objective combinatorial optimization pro...
-
Chapter and Conference Paper
Complex Glyph Enhancement for License Plate Generation
The complex glyphs of license plates usually comes with a long-tail distribution, leading to poor recognition performance of the tail class. Supplementing the training data with generated license plates is an ...
-
Chapter and Conference Paper
Towards Real-Time High-Definition Image Snow Removal: Efficient Pyramid Network with Asymmetrical Encoder-Decoder Architecture
In winter scenes, the degradation of images taken under snow can be pretty complex, where the spatial distribution of snowy degradation varies from image to image. Recent methods adopt deep neural networks to ...
-
Chapter and Conference Paper
Unsupervised Deep Transfer Learning Model for Tool Wear States Recognition
Heavy worn tools can cause severe cutting vibrations, leading to a decrease in the surface quality of the workpiece. It is important to monitor tool states and replace the worn tool in time. The traditional to...
-
Chapter and Conference Paper
SpMVNet: Spatial Multi-view Network for Head and Neck Organs at Risk Segmentation
Head and neck (HaN) cancers are often treated with radiotherapy. Since radiation inevitably causes damage to human organs, it is necessary to control the dose of radiation in different areas during radiation t...
-
Chapter and Conference Paper
An Adaptive Clustering Approach for Efficient Data Dissemination in IoV
Due to the inherent characteristics of Vehicular Ad-hoc Networks (VANETs), such as uneven distribution and high mobility, establishing and maintaining efficient routes for data dissemination is a significant a...
-
Chapter and Conference Paper
A Survey of Domain Generalization-Based Face Anti-spoofing
In recent years, remarkable research attention has been attracted to improve the generalization ability of face anti-spoofing methods, and domain generalization techniques have been widely exploited for adapti...
-
Chapter and Conference Paper
PM2.5 Concentration Prediction Based on mRMR-XGBoost Model
Air pollution is one of the main environmental pollution, in which air pollution component prediction is an important problem. At present, there have been many studies using machine learning methods to predict...
-
Chapter and Conference Paper
Survey on Deep Learning Based Fusion Recognition of Multimodal Biometrics
We take multimodal as a new research paradigm. This research paradigm is based on the premise that all human interactions with the outside world required the support of multimodal sensory systems. Deep learnin...
-
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...
-
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...
-
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...
