Hand writing and hand drawing are natural ways to take note. A pen and papers are used to make a note for a long time. In digital era, the notes are often converted into a durable and formal format for further use. Th...
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Since the coronavirus disease 2019 (COVID-19) outbreak has spread across the country, our research applies to remind the people to wear a face mask when we go outside because a facial image detection and classificatio...
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During last decade, language modeling has been dominated by neural structures; RNN, LSTM or Transformer. These neural language models provide excellent performance to the detriment of very high computational cost. Thi...
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ISBN:
(纸本)9781665409483
During last decade, language modeling has been dominated by neural structures; RNN, LSTM or Transformer. These neural language models provide excellent performance to the detriment of very high computational cost. This work investigates the use of probabilistic language model that requires much less computational cost. In particular, we are interested in variable-order Markov model that can be efficiently implemented on a probabilistic suffix tree (PST) structure. The PST construction is cheap and can be easily scaled to very large dataset. Experimental results show that this model can be used to generated realistic sentences.
Hand writing and hand drawing are natural ways to take note. A pen and papers are used to make a note for a long time. In digital era, the notes are often converted into a durable and formal format for further use. Th...
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ISBN:
(数字)9781728164861
ISBN:
(纸本)9781728164878
Hand writing and hand drawing are natural ways to take note. A pen and papers are used to make a note for a long time. In digital era, the notes are often converted into a durable and formal format for further use. Therefore, the conversion application was developed in many fields with many skill such as handwritten recognition, object recognition, object classification, and others. In this paper, we demonstrate a method to classify connected components as flowchart and text. We use the Online Handwritten Flowchart Dataset (OHFD) which contained 419 handwritten flowcharts to benchmark our methodology. The result shown our classification technique get F1-score 77.6%.
Fundus image is an initial method for examining eye diseases. Due to its visualization limitation, diseases such as wet macular degeneration (wet amd) and polypoidal choroidal vasculopathy (PCV) looks similar. An indo...
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The face composite sketching has been in use as the substitute as well as the complement to the forensic sketches by law enforcement artists. However, it requires manual methods to make proper placements for the vario...
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Since the coronavirus disease 2019 (COVID-19) outbreak has spread across the country, our research applies to remind the people to wear a face mask when we go outside because a facial image detection and classificatio...
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ISBN:
(数字)9781665415545
ISBN:
(纸本)9781665446969
Since the coronavirus disease 2019 (COVID-19) outbreak has spread across the country, our research applies to remind the people to wear a face mask when we go outside because a facial image detection and classification method will be used to authentication and authorization. This paper has shown that our created models based on CNN can detect the face mask-wearing, glasses-wearing, and gender with comparison two models. We training model with mix public datasets such as WIDER FACE, AFW, and MAFA. Moreover, we use VGG-Face to pre-train the model for the advance detection rate.
Objectives:The difficulties in the early detection consequent to the lack of sensitive biomarkers render patients with cholangiocarcinoma(CCA)to have poor ***,sensitive and specific volatile organic compounds(VOCs)wer...
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Objectives:The difficulties in the early detection consequent to the lack of sensitive biomarkers render patients with cholangiocarcinoma(CCA)to have poor ***,sensitive and specific volatile organic compounds(VOCs)were identified in several ***,the VOC profiles in CCA are not ***,we investigated the VOC profiles in exhaled breath of CCA patients and ***:We prospectively collected exhaled breath samples from 30 consecutive patients newly diagnosed with CCA and 30 controls who did not have CCA(seven had benign biliary strictures and 23 had other medical conditions).Exhaled VOCs were identified using gas chromatography mass spectrometry Triple Quadrupoles *** of the significant differences in VOCs between cases and controls was conducted using supervised multivariate regression *** validation was performed for these VOCs in another cohort of 18 CCA patients and 22 ***:Levels of six compounds were significantly different between CCA patients and controls,namely,acetone,isopropyl alcohol,dimethyl sulfide,1,4-pentadiene,allyl methyl sulfide,and N,*** and dimethyl sulfide were independently associated with CCA as demonstrated in the multivariate *** the cut-off value of 8.59107 arbitrary unit(AU),acetone had a sensitivity and specificity of 82.1%and 75.8%,respectively,with an area under the receiving operator curve(AUROC)of 0.85 for the CCA *** level was also significantly different between cases and controls in the validation *** the same cut-off value,the sensitivity,specificity,and AUROC was 59.1%,66.7%,and 0.85,***:Breath analysis may potentially be useful for CCA diagnosis.A cohort of patients with earlystage CCA in further studies is needed to confirm the ability of exhaled VOCs for the early detection of CCA.
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