Browsing The College of Engineering and Computer Science by Title
Now showing items 1-20 of 59
-
Absorbance biosensors‐based hybrid MoS2 nanosheets for Escherichia coli detection
(2023-06-23)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 ... -
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph
(2022-08-06)Interpretation of chest radiographs (CXR) is a difficult but essential task for detecting thoracic abnormalities. Recent artificial intelligence (AI) algorithms have achieved radiologist-level performance on various medical ... -
Active Temperature Compensation for MEMS Capacitive Sensor
(2021-09-01)Temperature variations are one of the most crucial factors that need to be compensated for in MEMS sensors. Many traditional methodologies require an additional circuit to compensate for temperature. This work describes a ... -
Adaptive Proxy Anchor Loss for Deep Metric Learning
(2022-10)Deep metric learning (or simply called metric learning) uses the deep neural network to learn the representation of images, leading to widely used in many applications, e.g. image retrieval and face recognition. In the ... -
Adoption of IP Truncation in a Privacy-Based Decision Tree Pruning Design: A Case Study in Network Intrusion Detection System
(2022-03)A decision tree is a transparent model where the rules are visible and can represent the logic of classification. However, this structure might allow attackers to infer confidential information if the rules carry some ... -
AUC Maximization for Low-Resource Named Entity Recognition
(2023-04-13)Current work in named entity recognition (NER) uses either cross entropy (CE) or conditional random fields (CRF) as the objective/loss functions to optimize the underlying NER model. Both of these traditional objective ... -
Benchmarking full version of GureKDDCup, UNSW-NB15, and CIDDS-001 NIDS datasets using rolling-origin resampling
(2021-10)Network intrusion detection system (NIDS) is a system that analyses network traffic to flag malicious traffic or suspicious activities. Several recent NIDS datasets have been published, however, the lack of baseline ... -
Benchmarking saliency methods for chest X-ray interpretation
(2022-08)Saliency methods, which produce heat maps that highlight the areas of the medical image that influence model prediction, are often presented to clinicians as an aid in diagnostic decision-making. However, rigorous investigation ... -
CapNext: Unifying Capsule and ResNeXt for Medical Image Segmentation
(2022)Capsule Network is a contemporary approach to image analysis that emphasizes part-whole relationships. However, its applications to segmentation tasks are limited due to training difficulties such as initialization and ... -
Collaborative Curating for Discovery and Expansion of Visual Clusters
(2021-10)In many visually-oriented applications, users can select and group images that they find interesting into coherent clusters. For instance, we encounter these in the form of hashtags on Instagram, galleries on Flickr, or ... -
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation
(2021)Instance segmentation, the task of identifying and separating each individual object of interest in the image, is one of the actively studied research topics in computer vision. Although many feed-forward networks produce ... -
Concurrent multiscale topology optimisation towards design and additive manufacturing of bio-mimicking porous structures
(2022-11-16)This paper presents a novel multiscale explicit topology optimisation approach for concurrently optimizing the structure at the macro level and the bio-mimicking porous infillings at the micro level. Solid bar components ... -
Cumulative Quality Modeling for HTTP Adaptive Streaming
(2021-04)HTTP Adaptive Streaming has become the de facto choice for multimedia delivery. However, the quality of adaptive video streaming may fluctuate strongly during a session due to throughput fluctuations. So, it is important ... -
Deployment and validation of an AI system for detecting abnormal chest radiographs in clinical settings
(2022-07-27)Background: The purpose of this paper is to demonstrate a mechanism for deploying and validating an AI-based system for detecting abnormalities on chest X-ray scans at the Phu Tho General Hospital, Vietnam. We aim to ... -
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks
(2022-11)The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, raising the need to develop novel tools to provide rapid and cost-effective screening and diagnosis. Clinical reports indicated that ... -
An Effective Foveated 360◦ Image Assessment Based on Graph Convolution Network
(2022-09-04)Virtual reality (VR) has been adopted in various fields such as entertainment, education, healthcare, and the military, due to its ability to provide an immersive experience to users. However, 360◦ images, one of the main ... -
An Efficient QoE-Aware HTTP Adaptive Streaming over Software Defined Networking
(2020-05)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, ... -
Emerging Privacy and Trust Issues for Autonomous Vehicle Systems
(2022)In the awakening of cutting-edge technology, companies such as Apple, Waymo, and Tesla are racing to launch the industry’s first fully autonomous car. Besides the technical challenges such as safety and infrastructure, ... -
Engineering a light–matter strong coupling regime in perovskite-based plasmonic metasurface: quasi-bound state in the continuum and exceptional points
(2020-11-12)We present theoretically the formation of exciton–photon polaritons and exciton-surface plasmon polaritons in a perovskite-based subwavelength lattice on the metallic plane. It is shown that the latter polaritons will be ... -
An experimental method to characterize the relationship between aperture image and ray directions in microscope optics
(2020-08)We propose a direct experimental method to calibrate the relationship between ray directions in object space and their positions in the aperture plane of a light field microscope. The calibration improves the interpretation ...