D. Van-Khoa Le

D. Van-Khoa Le
University of Nottingham | Notts

About

12
Publications
7,470
Reads
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124
Citations
Citations since 2016
11 Research Items
124 Citations
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2016201720182019202020212022010203040

Publications

Publications (12)
Article
Full-text available
Electrocardiogram (ECG) and photoplethysmogram (PPG) are commonly used to determine the vital signs of heart rate, respiratory rate, and oxygen saturation in patient monitoring. In addition to simple observation of those summarized indexes, waveform signals can be analyzed to provide deeper insights into disease pathophysiology and support clinical...
Article
Full-text available
Infectious diseases remain a common problem in low- and middle-income countries, including in Vietnam. Tetanus is a severe infectious disease characterized by muscle spasms and complicated by autonomic nervous system dysfunction in severe cases. Patients require careful monitoring using electrocardiograms (ECGs) to detect deterioration and the onse...
Article
Full-text available
Background Critically ill patients often require complex clinical care by highly trained staff within a specialized intensive care unit (ICU) with advanced equipment. There are currently limited data on the costs of critical care in low-and middle-income countries (LMICs). This study aims to investigate the direct-medical costs of key infectious di...
Article
Full-text available
A multiproduct lignocellulosic biorefinery converts various types of biomass into value-added products or energy through different conversion pathways. However, its operation is susceptible to the changing nature of biomass properties, biomass feedstock supply, ambient temperature, and product demands. Therefore, a new optimal resource allocation s...
Article
Full-text available
In this research, comparison between artificial neural network (ANN) and support vector machine (SVM) techniques for prediction of bio-polymer molecular weight is dealt with. Synthesis of polycaprolactone (PCL) via enzymatic catalysis has been chosen for this study. Initially, the process parameters for enzymatic synthesis of PCL are optimized by u...
Article
Full-text available
Recent developments in case-based reasoning system (CBR) have led to an interest in favoring machine learning (ML) approaches as a replacement for traditional weighted distance methods. However, valuable information obtained through a training process was relinquished as transferring to other phases. This paper proposed a complete pipeline integrat...
Article
Full-text available
n‐line inspection (ILI) robot has been considered as an inevitable requirement to perform non‐destructive testing methods efficiently and economically. The detection of flaws that could lead to leakages in buried concrete pipes has been an area of great concern to the oil and gas industry and water resource‐based industry. The major problem is the...
Article
Full-text available
Money laundering has been affecting the global economy for many years. Large sums of money are laundered every year, posing a threat to the global economy and its security. Money laundering encompasses illegal activities that are used to make illegally acquired funds appear legal and legitimate. This paper aims to provide a comprehensive survey of...
Conference Paper
The contribution of time series forecasting (TSF) on various aspects from economic to engineering has yielded its importance. Lot of recent studies concentrated on applying and modifying artificial neural network (ANN) to improve forecasting accuracy and achieved promising results. However, the selection of proper set from historical data for forec...
Article
Money laundering refers to activities that disguise money receive through illegal operations and make them become legitimate. It leaves serious consequence that may lead to economy corruption. Extensive research has been conducted to investigate proper solution for suspicious transactions detection. In the realm of clustering approaches, traditiona...

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