VNU Journal of Science: Computer Science and Communication Engineering
2615-9260
Việt Nam
Cơ quản chủ quản: N/A
Phân tích ảnh hưởng
Các bài báo tiêu biểu
Human Action Recognition Using Dynamic Time Warping and Voting Algorithm
Tập 30 Số 3 - 2014
This paper presents a human action recognition method using Dynamic Time Warping
and voting algorithms on 3D human skeletal models. In this method, human actions
which are the combinations of multiple body part movements are described by
feature matrices in concerning with both spatial and temporal domains. The
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A Big Data Analytics Framework for IoT Applications in the Cloud
Tập 31 Số 2 - 2015
The Internet of Things (IoT) is an evolution of connected networks including
million chatty embedded devices. A huge amount of data generated day by day by
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Max – Min Composition of Linguistic Intuitionistic Fuzzy Relations and Application in Medical Diagnosis
Tập 30 Số 4 - 2015
In this paper, we first introduce notion of linguistic intuitionistic fuzzy
relations. This notion may be useful in situations when each correspondence of
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membership, and the second expresses degree of non-membership as in the
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Performance Analysis of Cooperative-based Multi-hop Transmission Protocols in Underlay Cognitive Radio with Hardware Impairment
Tập 31 Số 2 - 2015
In this paper, we study performances of multi-hop transmission protocols in
underlay cognitive radio (CR) networks under impact of transceiver hardware
impairment. In the considered protocols, cooperative communication is used to
enhance reliability of data transmission at each hop on an established route
between a secondary source and a secondary destination. For
performance evaluation, we der...
VLSP 2021-ViMRC Challenge: Vietnamese Machine Reading Comprehension
Tập 38 Số 2 - 2022
One of the emerging research trends in natural language understanding is machine
reading comprehension (MRC) which is the task to find answers to human questions
based on textual data. While many datasets have been developed for MRC research
for other languages, there is a lack of such resources for the Vietnamese
language. Although many datasets and methodologies have been developed for
English a...
A Novel Combination of Negative and Positive Selection in Artificial Immune Systems
Tập 31 Số 1 - 2015
Artificial Immune System (AIS) is a multidisciplinary research area that
combines the principles of immunologyand computation. Negative Selection
Algorithms (NSA) is one of the most popular models of AIS mainly designed for
one-class learning problems such as anomaly detection. Positive
Selection Algorithms (PSA) is the twin brother of NSA with quite
similar performance for AIS. Both NSAs and ...
Liver Segmentation on a Variety of Computed Tomography (CT) Images Based on Convolutional Neural Networks Combined with Connected Components
Tập 36 Số 1 - 2020
Liver segmentation is relevant for several clinical applications. Automatic
liver segmentation using convolutional neural networks (CNNs) has been recently
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An Adaptive and High Coding Rate Soft Error Correction Method in Network-on-Chips
Tập 35 Số 1 - 2019
The soft error rates per single-bit due to alpha particles in sub-micron
technology is expectedly reducedas the feature size is shrinking. On the other
hand, the complexity and density of integrated systems are accelerating which
demand ecient soft error protection mechanisms, especially for on-chip
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ASR - VLSP 2021: Conformer with Gradient Mask and Stochastic Weight Averaging for Vietnamese Automatic Speech Recognition
Tập 38 Số 1 - 2022
Recent years have witnessed the strong growth of Automatic Speech Recognition
(ASR) studies due to its wide range of applications. However, there are few
efforts put into the Vietnamese language. This paper introduces an end-to-end
approach using Conformer and pseudo labeling for Vietnamese ASR systems.
Besides, our approach is equipped with Gradient Mask and Stochastic Weight
Averaging method to ...
A General Model of Fractional Frequency Reuse: Modelling and Performance Analysis
Tập 36 Số 1 - 2020
Fractional Frequency Reuse (FFR) is a promising to improve the spectrum e ciency
in the LongTerm Evolution (LTE) cellular network. In the literature, various
research works have been conducted to evaluate the performance of FFR. However,
the presented analytical approach only dealt with the special cases in which the
users are divided into 2 groups and only two power levels are utilised. In this
p...