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Data extraction
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In this current study, damage in three beam-like structures is identified by means of an improved version of the gapped smooth method, namely a curvature-based gapped smooth method. Only unhealthy data of structures are extracted to determine the developed index.
15p
viwalton
02-07-2024
2
1
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A deep learning approach combining autoencoder with supervised classifiers for IoT anomaly detection
Anomaly detection for Internet of things (IoT) networks is a challenging issue due to the huge number of devices that connect to each other and generate huge amounts of data. In this study, we propose a model combining Autoencoder (AE) with classification algorithms to build an endto-end architecture for processing, feature extraction and data classification.
13p
viambani
18-06-2024
7
1
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This study extracts images from Taekwondo videos and generates skeleton data from frames using the Fast Forward Moving Picture Experts Group (FFMPEG) technique using MoveNet. After that, we use deep learning architectures such as Long Short-Term Memory Networks, Convolutional Long Short-Term Memory, and Longterm Recurrent Convolutional Networks to perform the poses classification tasks in Taegeuk in Jang lessons. This work presents two approaches. The first approach uses a sequence skeleton extracted from the image by Movenet.
26p
dianmotminh02
03-05-2024
3
1
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Seven known compounds, including two neolignans, four lignans, and one flavane were isolated from the methanol extract of Pandanus tonkinenis fruits. Their structures were determined to be ficusal, vladinol F, medioresinol, syringaresinol, lariciresinol, secoisolariciresinol, and luteoliflavan by analysis of MS and NMR data as well as by comparison of their spectral data with those reported in the literature.
7p
dianmotminh02
03-05-2024
3
1
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Structure, absolute configuration and cytotoxicity of compounds isolated from Decaschistia harmandii
In this work, we report the isolation and structure characterization of four compounds from ethyl acetate extract of the aerial part of D. harmandii for the first time. Especially, the absolute configuration of dimer stilbene ampelopsin F was successfully established upon circular dichroism (ECD) data. Besides, the cytotoxic properties of these compounds was also investigated on the cancer cell lines.
6p
dianmotminh02
03-05-2024
3
1
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In this continuity, the potentiality of D. citrea essential oil was subjected to screening research. The extract yield was obtained experimentally and its chemical characterization was acquired by gas chromatography-mass spectrometry (GC-MS). The determined data was subjected as the input for computational implementations, including density functional theory calculation, molecular docking simulation, and biopharma-potential predicting analyses.
20p
dianmotminh02
03-05-2024
1
1
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This study reported that the CHI4A gene was isolated from P. mirifica to validate the CHI4A unigenes obtained from the P. mirifica transcriptomic database (data not shown). This work provides more information about the variation and protein profile of the CHI4A gene for further experiments.
8p
dianmotminh02
03-05-2024
7
2
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From CHCl3-soluble extract of the leaves of Taxus wallichiana (Taxaceae), collected in Lam Dong Province, five compounds were isolated and identified as sciadopitysin, ginkgetin, (S)-(+)-rhododenol, (+)-erythro-N-benzoyl3-phenylisoserine methyl ester, and (−)-α-conidendrin (5). Their chemical structures were determined by 1D and 2D NMR spectra and comparison with published data. Except for (−)-α-conidendrin, these remaining compounds were first reported of Taxus wallichiana.
6p
dianmotminh02
03-05-2024
5
3
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This study employs the Bayesian Model Averaging (BMA) algorithm to evaluate input variable importance and select the most reliable salinity prediction model. Based on an analysis of observed salinity data and climate data extracted from Landsat 8 OLI in the Google Earth Engine platform, the BMA algorithm identifies the significance of critical variables and optimal salinity prediction models.
15p
viohoyo
25-04-2024
3
2
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The study "Spatial-temporal analysis of NO2 concentration in Binh Duong province, Vietnam" aims at using Sentinel-5P satellite data for analyzing NO2 concentrations in Binh Duong province, Vietnam. Google Earth Engine, which is a cloud-based geospatial analysis platform, has been used to collect satellite data and extract information on NO2 concentrations in Binh Duong in the period from 2018 to 2023.
8p
tukhauquantuong1011
22-04-2024
4
2
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The paper "A novel approach of neural networks and USLE in smart soil erosion modeling, case study in Southern coastal of Viet Nam" adopted one of the neural networks - the Long ShortTerm Memory (LSTM) to analyze temporal variations in erosion patterns over time, aiding in understanding erosion dynamics. Furthermore, another common soil erosion model - the Universal Soil Loss Equation (USLE) was investigated to predict annual soil loss. Our data were extracted from remotely sensed data (DEM - Digital Elevation Model and MODIS) and vector data of the study area.
11p
tukhauquantuong1011
22-04-2024
6
2
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Patterns in expression data conserved across multiple independent disease studies are likely to represent important molecular events underlying the disease. We present the INSPIRE method to infer modules of co-expressed genes and the dependencies among the modules from multiple expression datasets that may contain different sets of genes.
31p
vioraclene
31-03-2024
4
2
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Deep learning is a subdiscipline of artificial intelligence that uses a machine learning technique called artificial neural networks to extract patterns and make predictions from large data sets. The increasing adoption of deep learning across healthcare domains together with the availability of highly characterised cancer datasets has accelerated research into the utility of deep learning in the analysis of the complex biology of cancer.
17p
vibransone
28-03-2024
3
2
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Corporate Social Responsibility (CSR) disclosure and financial performances are reported annually by companies whose shares are listed on the Indonesia Stock Exchange. The purpose of this study was to analyze the effect of CSR disclosure on the financial performance of extractive companies listed on the Indonesia Stock Exchange. Moreover, we also examined the effect of those companies’ CSR on the Human Development Index (HDI). Data used in the study were originated from 10 companies' annual reports and financial reports for the years 2008-2017.
8p
longtimenosee06
27-03-2024
5
2
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Part 2 book "Chemical engineering design - Principles practice and economics of plant and process design" includes content: Costing and project evaluation, materials of construction, design information and data, safety and loss prevention, equipment selection, specification and design, separation columns (distillation, absorption and extraction).
496p
muasambanhan08
01-03-2024
6
0
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Ebook "Spatial database for GPS wildlife tracking data: A practical guide to creating a data management system with PostgreSQL/PostGIS and R" guides animal ecologists, biologists and wildlife and data managers through a step-by-step procedure to build their own advanced software platforms to manage and process wildlife tracking data. This unique, problem-solving-oriented guide focuses on how to extract the most from GPS animal tracking data, while preventing error propagation and optimizing analysis performance.
271p
manmanthanhla0201
26-02-2024
4
1
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The purpose of this study was to identify the factors that influenced university choice in Vietnam. Survey data was collected from 167 students studying in Industrial University of HCM City, Vietnam. The research model was proposed from the study of university choice in the context of education in Vietnam.
9p
vimarillynhewson
02-01-2024
4
1
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Ebook "11th International conference on practical applications of computational biology & bioinformatics" research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next-generation sequencing technologies, together with novel and constantly evolving, distinct types of omics data technologies, have created an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology.
345p
lucchinguyen
28-12-2023
3
2
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The aim of this study was to establish and validate a clinical prediction model for assessing the risk of metastasis and patient survival in Ewing’s sarcoma (ES). Patients diagnosed with ES from the Surveillance, Epidemiology and End Results (SEER) database for the period 2010-2016 were extracted, and the data after exclusion of vacant terms was used as the training set (n=767).
12p
vialfrednobel
23-12-2023
6
3
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In this paper, we propose a model of genetic algorithm combined with greedy strategy to extract an optimal set of linguistic summaries based on the evaluation measures of goodness and diversity of the set of linguistic summaries.
13p
visystrom
22-11-2023
5
4
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