64 Result(s)
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Chapter and Conference Paper
A Framework for Intelligent Generation of Intrusion Detection Rules Based on Grad-CAM
Intrusion detection systems (IDS) play a critical role in protecting networks from cyber threats. Currently, intrusion detection methods based on artificial intelligen (AI) stand as the mainstream, yet they gr...
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Chapter and Conference Paper
An Efficient and Smooth Path Planner Based on Hybrid A* Search and Frenet Frames
As the technology of autonomous vehicles advances, the importance of automatic path planning also grows significantly. This leads to the exploration of diverse algorithms and learning-based techniques. While m...
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Chapter and Conference Paper
Triple-Path RNN Network: A Time-and-Frequency Joint Domain Speech Separation Model
Studies in speech separation have achieved significant success in recent years. To correctly separate the mixture signals, it is critical to encode the signals into an appropriate latent space. Existing speech...
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Chapter and Conference Paper
Improving Structural and Semantic Global Knowledge in Graph Contrastive Learning with Distillation
Graph contrastive learning has emerged as a pivotal task in the realm of graph representation learning, with the primary objective of maximizing mutual information between graph-augmented pairs exhibiting simi...
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Chapter and Conference Paper
Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal
Real estate appraisal is a crucial issue for urban applications, aiming to value the properties on the market. Recently, several methods have been developed to automatize the valuation process by taking the pr...
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Chapter and Conference Paper
Payload Level Graph Attention Network for Web Attack Traffic Detection
With the popularity of web applications, web attacks have become one of the major threats to cyberspace security. Many studies have focused on applying machine learning techniques for web attack traffic detect...
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Chapter and Conference Paper
Investigating the Mental Workload of Experiencing Virtual Reality on People with Mild Cognitive Impairment
As the proportion of the aging population increases year by year, Taiwan is about to become a super-aging society. Among multiple problems faced by the elderly, dementia is an important but easy-to-be-neglecte...
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Chapter and Conference Paper
Option Pricing Using Machine Learning with Intraday Data of TAIEX Option
The use of artificial intelligence (AI) in the financial sector has become increasingly popular in recent years. This study focuses on the application of machine learning (ML) for option pricing using intraday...
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Chapter and Conference Paper
Portfolio Performance Evaluation with Leptokurtic Asset Returns
When asset returns follow multivariate Lévy processes, this paper derives a theoretically sound portfolio performance measure (PPM) that takes into account idiosyncratic and common jump risks. We demonstrate t...
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Chapter and Conference Paper
Discipline Inspection and Supervision Big Data Information Query Platform Based on Distributed Computing
The DIAS BD information inquiry platform uses scientific information technology to create a stable cadre archive, reference library and database. Carry out discipline inspection and supervision(DIAS) activitie...
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Chapter and Conference Paper
An UNet-Based Brain Tumor Segmentation Framework via Optimal Mass Transportation Pre-processing
This article aims to build a framework for MRI images of brain tumor segmentation using the deep learning method. For this purpose, we develop a novel 2-Phase UNet-based OMT framework to increase the ratio of ...
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Chapter and Conference Paper
Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN
Measuring the existence of coronary artery plaques and stenoses is a standard way of evaluating the risk of cardiovascular diseases. Coronary Computed Tomography Angiography (CCTA) is one of the most common as...
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Chapter and Conference Paper
Intelligent Medical Interactive Educational System for Cardiovascular Disease
Cardiovascular disease is the number one killer of global deaths, accounting for 30% of total deaths every year. To arouse the public’s attention to cardiovascular health, it is bound to provide sufficient edu...
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Chapter and Conference Paper
Rehabilitate Sustain from Earth to Sea: A Design Study on Interplaying Biosocial Sculpture In-Between the Intertidal Zone
Obey the traditional idea of “Tian-Fu Di-Zai” (The Heaven Overspreads and Earth Sustains All, 天覆地載) in Chinese culture, this monography focuses on “Rise above both Self and Matters” (物我相忘) of Taoist by “Rehabi...
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Chapter and Conference Paper
Brain Tumor Segmentation Using Dual-Path Attention U-Net in 3D MRI Images
Semantic segmentation plays an essential role in brain tumor diagnosis and treatment planning. Yet, manual segmentation is a time-consuming task. That fact leads to hire the Deep Neural Networks to segment bra...
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Chapter and Conference Paper
MISS: A Multi-user Identification Network for Shared-Account Session-Aware Recommendation
The user’s interactions with the system within a given time frame are organized into a session. The task of session-aware recommendation aims to predict the next interaction based on user’s historical sessions...
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Chapter and Conference Paper
MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses
Sequence prediction is a well-defined problem with a proliferation of applications, such as recommendation systems, social media monitor, economic analysis, etc. Recently, RNN-based methodologies have shown th...
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Chapter and Conference Paper
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an input image with a magnificatio...
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Chapter and Conference Paper
An Integrated Framework of Product Kansei Decision-Making Based on Hesitant Linguistic Fuzzy Term Sets
Kansei adjectives have the advantage of close to consumers’ perception of a product. But consumers may show hesitation and opinion discrepancy while expressing their preferences through comparative Kansei adje...
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Chapter and Conference Paper
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Object detection is a hot topic with various applications in computer vision, e.g., image understanding, autonomous driving, and video surveillance. Much of the progresses have been driven by the availability of ...
