The College of Engineering and Computer Science: Recent submissions
Hiển thị tài liệu từ 21-40 của 143
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Glucose sensors based on chitosan capped ZnS doped Mn nanomaterials
(2023-02)A typical glucose sensor is a glucose oxidase (GOx) enzyme-based sensor due to its high sensitivity and selectivity. However, activating and stabilizing the enzyme presents challenges. To enhance the stability of GOx-based ... -
Optical glucose sensors based on chitosan-capped ZnS-doped Mn nanomaterials
(2923-03-06)The primary goal of glucose sensing at the point of care is to identify glucose concentrations within the diabetes range. However, lower glucose levels also pose a severe health risk. In this paper, we propose quick, simple, ... -
Asymmetric hashing for fast ranking via neural network measures
(2022-11)Fast item ranking is an important task in recommender systems. In previous works, graph-based Approximate Nearest Neighbor (ANN) approaches have demonstrated good performance on item ranking tasks with generic searching/matching ... -
LightX3ECG: A lightweight and explainable deep learning system for 3-lead electrocardiogram classification
(2022-07-25)Cardiovascular diseases (CVDs) are a group of heart and blood vessel disorders that is one of the most serious dangers to human health, and the number of such patients is still growing. Early and accurate detection plays ... -
High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion
(2023-09-28)Due to the significant resemblance in visual appearance, pill misuse is prevalent and has become a critical issue, responsible for one-third of all deaths worldwide. Pill identification, thus, is a crucial concern that ... -
PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children
(2023)Computer-aided diagnosis systems in adult chest radiography (CXR) have recently achieved great success thanks to the availability of large-scale, annotated datasets and the advent of high-performance supervised learning ... -
A systematic review of the use of topic models for short text social media analysis
(2023-05-01)Recently, research on short text topic models has addressed the challenges of social media datasets. These models are typically evaluated using automated measures. However, recent work suggests that these evaluation measures ... -
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography
(2023)Mammography, or breast X-ray imaging, is the most widely used imaging modality to detect cancer and other breast diseases. Recent studies have shown that deep learning-based computer-assisted detection and diagnosis (CADe/x) ... -
Absorbance biosensors‑based hybrid MoS2 nanosheets for Escherichia coli detection
(2023)Detecting Escherichia coli is essential in biomedical, environmental, and food safety applications. In this paper, we have developed a simple, rapid, sensitive, and selective E. coli DNA sensor based on the novel hybrid-type ... -
Clearing payments in dynamic financial networks
(2023-12)This paper proposes a novel dynamical model for determining clearing payments in financial networks. We extend the classical Eisenberg–Noe model of financial contagion to multiple time periods, allowing financial operations ... -
Joint RIS-Aided Precoding and Multislot Scheduling for Maximum User Admission in Smart Cities
(2024-01-01)Reconfigurable intelligent surfaces (RISs) have emerged as a game-changing technology to improve wireless network performance by intelligently manipulating and customizing the physical propagation environment. Such capability ... -
An Evaluation of the Impact of Distance on Perceptual Quality of Textured 3D Meshes
(2024-01)Distance-aware quality adaptation is a potential approach to reduce the resource requirement for the transmission and rendering of textured 3D meshes. In this paper, we carry out a subjective experiment to investigate the ... -
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training
(2024-01)In Federated Learning (FL), the size of local models matters. On the one hand, it is logical to use large-capacity neural networks in pursuit of high performance. On the other hand, deep convolutional neural networks (CNNs) ... -
Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework
(2018)To enable an intelligent, programmable and multi-vendor radio access network (RAN) for 6G networks, considerable efforts have been made in standardization and development of open RAN (O-RAN). So far, however, the applicability ... -
Hierarchical Random Access Coding for Deep Neural Video Compression
(2023-06-06)Recent advancements in neural video compression networks have achieved notable results; however, most existing models focus primarily on low-delay configurations, where the order of display matches the coding order. In ... -
Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation
(2023-01-11)This paper reviews the literature on network traffic prediction and serves as a tutorial on the topic. We analyze various methodologies, including autoregressive moving average models (ARMA, ARIMA, SARIMA) and artificial ... -
Corrigendum: Machine learning for the detection of social anxiety disorder using e ective connectivity and graph theory measures
(2023-07-24)Here’s the corrected funding and acknowledgment statements as requested: Funding This research was supported by the Ministry of Education, Malaysia under the Higher Institute Center of Excellence (HiCOE) scheme awarded ... -
Coexistence of surface lattice resonances and bound states in the continuum in a plasmonic lattice
(2022-03-14)We present a numerical study on a 2D array of plasmonic structures covered by a subwavelength film. We explain the origin of surface lattice resonances (SLRs) using the coupled dipole approximation and show that the ... -
QoE-Aware Video Streaming over HTTP and Software Defined Networking
(2019)Due to the increase in video streaming traffic over the Internet, more innovative methods are in demand for improving both Quality of Experience (QoE) of users and Quality of Service (QoS) of providers. In recent years, ... -
Optimal auction for effective energy management for UAV-assisted metaverse synchronization system
(2023)In this paper, we investigate an effective energy management in a UAV-assisted Metaverse synchronization system. The UAVs perform the data collection for a virtual service provider (VSP) for the synchronization between the ...
