131 Result(s)
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Chapter and Conference Paper
Exploring the Feasibility of ChatGPT for Improving the Quality of Ansible Scripts in Edge-Cloud Infrastructures Through Code Recommendation
Edge-cloud system aims to reduce the processing time of Big data by bringing massive infrastructures closer to the source of data. Infrastructure as Code (IaC) supports the automatic deployment and management ...
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Chapter and Conference Paper
CodeBERT Based Software Defect Prediction for Edge-Cloud Systems
Edge-cloud system is a crucial computing infrastructure for the innovations of modern society. In addition, the high interest in the edge-cloud system leads to various studies for testing to ensure the reliabi...
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Chapter and Conference Paper
Automated Assessment of Renal Calculi in Serial Computed Tomography Scans
An automated pipeline is developed for the serial assessment of renal calculi using computed tomography (CT) scans obtained at multiple time points. This retrospective study included 722 scans from 330 patient...
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Chapter and Conference Paper
Reinforcement Learning Approach for Multi-period Inventory with Stochastic Demand
Finding an optimal solution to multi-period inventory ordering decision problems with uncertain demand is important for any manufacturing organization. Moreover, these problems are NP-hard as there are many fa...
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Chapter and Conference Paper
A Preliminary Work: Mixed Reality-Integrated Computer-Aided Surgical Navigation System for Paranasal Sinus Surgery Using Microsoft HoloLens 2
Paranasal sinus surgery has high demands for minimal invasion and safety. Computer-aided surgical navigation (CSN) applications have been recognized as the standard of the surgical practice; the operations of ...
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Chapter and Conference Paper
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI
Medical image classification (for example, lesions on MRI scans) is a very challenging task due to the complicated relationships between different lesion sub-types and expensive cost to collect high quality la...
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Chapter and Conference Paper
Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation
We present a novel unsupervised domain adaptation method for small bowel segmentation based on feature disentanglement. To make the domain adaptation more controllable, we disentangle intensity and non-intensi...
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Chapter and Conference Paper
Clothing Display Method Based on VR Technology
Clothing display is a kind of merchandise display. Good clothing display effect will attract customers’ interest. Traditional physical clothing display has problems such as high cost and easy damage, and once ...
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Chapter and Conference Paper
Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles
Reliable localization of abnormal lymph nodes in T2 Magnetic Resonance Imaging (MRI) scans is needed for staging and treatment of lymphoproliferative diseases. Radiologists need to accurately characterize the ...
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Chapter and Conference Paper
Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model
Current deep learning based segmentation models generalize poorly to different domains due to the lack of sufficient labelled image data. An important example in radiology is generalizing from contrast enhance...
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Chapter and Conference Paper
Deep Small Bowel Segmentation with Cylindrical Topological Constraints
We present a novel method for small bowel segmentation where a cylindrical topological constraint based on persistent homology is applied. To address the touching issue which could break the applied constraint...
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Chapter and Conference Paper
User’s Emotional eXperience Analysis of Wizard Form Pattern Using Objective and Subjective Measures
Forms are the ordinary medium to collect data from prospective users and indirectly build a cordial relationship with them. This communication bridge can affect the user emotional reaction, whenever a user fin...
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Chapter and Conference Paper
Shapelets-Based Intrusion Detection for Protection Traffic Flooding Attacks
The intrusion detection for the network traffic is a technique to detect abnormal traffic flow patterns in periodic network packets. The traffic flooding attacks can be detected by the abnormal intrusion detec...
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Chapter and Conference Paper
The Application of Action Research to Review Modern Techniques in Manufacturing Systems
This is a case study of action research project applied to review modern techniques in manufacturing systems. It is often considered as one of learning outcomes in engineering courses for the engineering stude...
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Chapter and Conference Paper
Missing Information Prediction in Ripple Down Rule Based Clinical Decision Support System
Clinical Decision Support System (CDSS) plays an indispensable role in decision making and solving complex problems in the medical domain. However, CDSS expects complete information to deliver an appropriate ...
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Chapter and Conference Paper
A Hybrid Framework for a Comprehensive Physical Activity and Diet Recommendation System
The quantified self-movement has gained a lot of traction, recently. In this regard, research in personalized wellness support systems has increased. Most of the recommender systems focus on either calorie-bur...
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Chapter and Conference Paper
Context-Based Lifelog Monitoring for Just-in-Time Wellness Intervention
These days adoption of healthy behavior can be quantified through Ubiquitous computing and smart gadgets. This digital technology has revolutionized the self-quantification to monitor activities for improving...
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Chapter and Conference Paper
Unhealthy Dietary Behavior Based User Life-Log Monitoring for Wellness Services
Unhealthy behavior, constitutes of unhealthy diet, smoking, physical inactivity and alcohol intake, increases the risk of chronic diseases and premature mortality. These unhealthy behaviors can be avoided by ...
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Chapter and Conference Paper
Mining User Experience Dimensions from Mental Illness Apps
Mental illness is prevalent, the primary cause of disability worldwide, and regardless of the extensive treatment choices. Mobile apps provide greater support for depression treatment that eliminates the commu...
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Chapter and Conference Paper
Intent-Context Fusioning in Healthcare Dialogue-Based Systems Using JDL Model
A revolutionized wave of intelligent assistants has emerged in daily life of human over the recent years, therefore huge progress has been witnessed for development of healthcare assistants having the capabili...
