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317 Result(s)
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Chapter and Conference Paper
Information-Based Patrol Speed Control Method for Rail-Guided Robot System Using Deep Deterministic Policy Gradient Algorithm
To manage the safety of multi-use facilities, many CCTVs and alarm sensors are used, however, they cannot replace patrol tasks to check site conditions from multiple directions. The developed rail-guided smart...
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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
Automated Marker-Less Patient-to-Preoperative Medical Image Registration Approach Using RGB-D Images and Facial Landmarks for Potential Use in Computed-Aided Surgical Navigation of the Paranasal Sinus
Paranasal sinus surgery is an established treatment option for chronic rhinosinusitis. Because this surgery is performed inside the nasal cavity, where critical anatomical structures, such as optic nerves and ...
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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
Evaluating Young Children’s Computational Thinking Skills Using a Mixed-Reality Environment
This study aimed to develop an innovative mixed-reality environment to promote early computational thinking skills in young children using augmented reality (AR) technology and a socially interactive robot. Th...
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Chapter and Conference Paper
PNRG: Knowledge Graph-Driven Methodology for Personalized Nutritional Recommendation Generation
Chronic Diseases are a prevalent problem that affects millions of people worldwide. It is a prevalent health condition that requires careful diet and medication management and preventing chronic diseases. Trad...
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Chapter and Conference Paper
Ontology Alignment for Accurate Ontology Matching: A Survey
Edge computing, a distributed computing architecture within the knowledge-defined network (KDN), faces challenges due to the significant disparities and data heterogeneity among its nodes, hindering their inte...
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Chapter and Conference Paper
Energy-Efficient Image Processing Using Binary Neural Networks with Hadamard Transform
Binary neural networks have recently begun to be used as a highly energy- and computation-efficient image processing technique for computer vision tasks. This paper proposes a novel extension of existing binar...
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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
Multimodal Spatial Attention Network for Automatic Head and Neck Tumor Segmentation in FDG-PET and CT Images
Quantitative positron emission tomography/computed tomography (PET/CT), owing to the functional metabolic information and anatomical information of the human body that it presents, is useful to achieve accurat...
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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
Nonlinearity Study of Damaged Spring Materials Using Guided Wave
Nonlinear ultrasonic techniques that can detect micro crack or defects before use of ultrasonic nonlinearity are emerging as a way to predict the life of materials. Guided wave propagates according to the shap...
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Chapter and Conference Paper
A Study on Evidences Stored in Android Smartphones
Smartphones have become a necessity of modern people and have been used for various purposes beyond simple call and text transmission and reception. Therefore, various personal information has been stored in s...
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Chapter and Conference Paper
Static Analysis for Malware Detection with Tensorflow and GPU
With the advent of malware generation toolkits that automatically generate malware, anyone without a professional skill can easily generate malware. As a result, the number of new/modified malware samples is r...
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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
Site-Specific Quality Assessment of Trabecular Bone Using Highly Nonlinear Solitary Waves
We present a numerical study of highly nonlinear solitary wave interaction with adjacent bone microstructures towards the development of a novel diagnostic scheme for site-specific bone quality assessment. Hig...
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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 ...