Nowadays, society is growing and crowded, the construction of automatic smart waste sorter machine utilizing intelligent sensors important necessary. To build this system, trash classification from images an issue in computer vision to be addressed for integrating into sensors. Therefore, study proposes a robust model using deep neural networks classify automatically which can applied machines. Firstly, we collect VN-trash dataset that consists 5904 belonging three different classes...

In recent years, the detection of fake job descriptions has become increasingly necessary because social networking changed way people access burgeoning information in internet age. Identifying fraud descri... | Find, read and cite all research you need on Tech Science Press

Brent oil price fluctuates continuously causing instability in the economy. Therefore, it is essential to accurately predict trend of prices, as helps improve profits for investors and benefits community at ... | Find, read cite all research you need on Tech Science Press

Herbal plant image identification is able to help users without specialized knowledge about botany and plan systematics find out the information of herbal plans, thus it has become an interdisciplinary focus in both botanical taxonomy computer vision.A vision aided system been developed meet demand recognizing identifying plants rapidly.In this paper, first dataset collected by mobile phone natural scenes presented, which contains 10,000 images 10 species Vietnam.A VGG16-based deep learning...

Visual and 3D Mapping for Steel Bridge Inspection Using a Climbing Robot Nhan H. Pham, Hung M. La, Quang P. Ha, Sy N. Dang, Anh Vo, Dinh Pages 141-149 (2016 Proceedings of the 33rd ISARC, Auburn, USA, ISBN 978-1-5108-2992-3, ISSN 2413-5844) Abstract: There are over six hundred thousand bridges in U.S. which require great amount human effort along with expensive specialized equipment maintenance. Current bridge inspections manually performed by inspectors inefficient unsafe. This paper...

With most of Vietnamese hearing impaired individuals, Sign Language (VSL) is the only choice for communication.Thus, there are more and study about automatic translation VSL to make a bridge between people normal ones.However, recognition in video brings many challenges due orientation camera, hand position movement, inter relation, etc.In this paper, we present some feature extraction approaches including spatial scene-based features.Instead relying on static image, specifically capture...

Purpose Medical images are increasingly popular; therefore, the analysis of these based on deep learning helps diagnose diseases become more and essential necessary. Recently, shoulder implant X-ray image classification (SIXIC) dataset that includes implanted prostheses produced by four manufacturers was released. The implant's model detection to select correct equipment procedures in upcoming surgery. Design/methodology/approach This study proposes a robust named X-Net improve...

The breast cancer histology image classification task is to classify images into four categories of normal, benign, in situ carcinoma, and invasive carcinoma. A common challenge the classification, also other medical domain, a lack sufficient data. To address limitations small amount data, we applied additional patch extraction (APE) whole-slide (WSI) as dataset extension approach. Besides, improve accuracy, proposed use test time augmentation (TTA) technique (with horizontal/vertical...

Facial expression recognition has been applied in many fields such as human computer interaction, patient monitoring, neurology, social robot... Although facial gained some encourage results, there are still challenges the change of illumination, blur, etc. Especially, recognizing between sadness and anger raises more barriers. In this paper, we proposed a framework using only salient regions, but it would be able to improve accuracy recognition. framework, one most state-of-the-art...

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Nowadays, air pollution is a big environmental problem in developing countries. In this problem, particulate matter 2.5 (PM2.5) the an pollutant. When its concentration high countries like Vietnam, it will harm everyone's health. Accurate prediction of PM2.5 concentrations can help to make correct decision protecting health citizen. This study develops hybrid deep learning approach named PM25-CBL model for Ho Chi Minh City, Vietnam. Firstly, analyzes effects variables on Air Quality HCMC...

Abstract Nowadays, in a communicating society, fashion is an integral part of human life, and it more comfortable confident when people dress well. Outfit compatibility not only combination different items but also regarding various aspects, such as style, user preferences, specific occasions. Most the existing works lead to address outfit concerning style or have no regard for In this paper, we propose efficient method both fill-in-the-blank tasks according To end, utilized auxiliary...

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span lang="EN-US">Image captioning aims to automatically generate one or more description sentences for a given input image. Most of the existing methods use encoder-decoder model which mainly focus on recognizing and capturing relationship between objects appearing in However, when generating captions fashion images, it is important not only describe items their relationships, but...

We present a new network whereby an agent navigates in the 3D environment to find target object according language-based instruction. Such task is challenging because has understand instruction correctly and takes series of actions locate among others without colliding with obstacles. The essence our proposed consists coarse-to-fine fusion model fuse language vision autoencoder encode visual information effectively. Then, asynchronous reinforcement learning algorithm used coordinate detailed...

This paper addresses the problem of common object detection, which aims to detect objects similar categories from a set images. Although it shares some similarities with standard detection and co-segmentation, recently promoted by \cite{Jiang2019a}, has unique advantages challenges. First, is designed work on both closed-set open-set conditions, a.k.a. known unknown objects. Second, must be able match same category but not restricted instance, texture, or posture. Third, can distinguish...

Roasting process could be used to reduce the anti-nutritional factors (ANFs) of adzuki bean (Vigna angularis). In this research, beans were roasted for 20 min at different temperatures 150 oC (R150), 165 (R165) and 180 (R180). The effects roasting temperature on ANFs antioxidant activity resultant flour investigated. Results indicate that resulted in significant decreases antinutrients including tannins (30 – 37%), antitrypsin inhibitors (63 70%). Additionally, reduction trypsin was...

Interior style classification is an interesting problem which has potential applications both commercial and academic communities. This task aims to devise interior design styles automatically. Thus, designers will explore customers' tastes then precisely provide suggestions for decor inspiration based on their preferences. Recently, Convolutional Neural Networks (CNNs) have been considered the de-facto standard in computer vision tasks. Therefore, several current works tended address using...

Ensuring reliability of a machinery system involve the prediction remaining useful life (RUL).In most RUL approaches, noise is always considered for removal.Nevertheless, could be properly utilized to enhance capabilities.In this paper, we proposed novel approach based on injection and Kalman filter ensemble modified bagging predictors.Firstly, new method insert Gaussian noises into both observation feature spaces an original training dataset, named GN-DAFC.Secondly, developed averaging,...