2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI)最新文献

Delineation of line patterns in images using B-COSFIRE filters 使用B-COSFIRE过滤器描绘图像中的线条模式

2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI) Pub Date : 2017-07-19 DOI: 10.1109/IWOBI.2017.7985538

N. Strisciuglio, N. Petkov

引用次数: 20

Voice Pathology Detection Using Deep Learning: a Preliminary Study 语音病理检测使用深度学习:初步研究

2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI) Pub Date : 2017-07-10 DOI: 10.1109/IWOBI.2017.7985525

P. Harár, J. B. Alonso, J. Mekyska, Z. Galaz, Radim Burget, Z. Smékal

引用次数: 72

Approach of Kinematic Control for a Nonholonomic Wheeled Robot using Artificial Neural Networks and Genetic Algorithms 基于神经网络和遗传算法的非完整轮式机器人运动控制方法

2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI) Pub Date : 2017-07-10 DOI: 10.1109/IWOBI.2017.7985533

Camilo Cáceres, J. M. Rosário, Dario Amaya

引用次数: 18

Automatic Image Processing Based Dental Image Analysis Using Automatic Gaussian Fitting Energy and Level Sets 基于自动高斯拟合能量和水平集的牙齿图像分析

2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI) Pub Date : 2017-07-10 DOI: 10.1109/IWOBI.2017.7985529

Pulkit Pandey, Anupama Bhan, M. Dutta, C. Travieso-González

{"title":"Automatic Image Processing Based Dental Image Analysis Using Automatic Gaussian Fitting Energy and Level Sets","authors":"Pulkit Pandey, Anupama Bhan, M. Dutta, C. Travieso-González","doi":"10.1109/IWOBI.2017.7985529","DOIUrl":"https://doi.org/10.1109/IWOBI.2017.7985529","url":null,"abstract":"Identification of the Root canal length is a major concern in the dentistry worldwide, which currently seeks the manual calculation in order to detect the measurement of the teeth. Intensity inhomogeneity often is a major problem in dental x-rays which causes considerable difficulties in segmentation. For better computer-aided diagnosis in dentistry, having a precise tooth segmentation is a critical task, as the cysts and inflammatory lesions generally occur around tooth root areas and these areas in radiographs are generally subject to noise, poor contrast, and very uneven illumination. This paper presents an effective segmentation method using a combinational approach of Local Gaussian Distribution fitting energy along with level sets. Here the local intensities of images are defined by Gaussian distributions which are combined with the level set function for accurate segmentations of teeth contour. The experimental results indicate that segmentation achieves the less number of iterations making it computationally fast and work in real time situation.","PeriodicalId":126751,"journal":{"name":"2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130133407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Impact of target variable distribution type over the regression analysis in wind turbine data 目标变量分布类型对风力机数据回归分析的影响

2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI) Pub Date : 2017-07-10 DOI: 10.1109/IWOBI.2017.7985534

Alejandro Blanco-M, Jordi Solé-Casals, P. Martí-Puig, Juan Jose Cardenas Isaac Justicia, J. Cusidó

{"title":"Impact of target variable distribution type over the regression analysis in wind turbine data","authors":"Alejandro Blanco-M, Jordi Solé-Casals, P. Martí-Puig, Juan Jose Cardenas Isaac Justicia, J. Cusidó","doi":"10.1109/IWOBI.2017.7985534","DOIUrl":"https://doi.org/10.1109/IWOBI.2017.7985534","url":null,"abstract":"The Wind sector has roughly 2200M euros of profit losses due to wind turbine failures and these failures do not contribute to the goal of reducing greenhouse gas emissions of many states. The 25-35% of the generation costs are operation and maintenance services. To lower this ratio, the wind turbine industry is backing on the Machine Learning techniques over SCADA data. Signal trending analysis supported on linear regression models presents the problem of how to carefully choose the right target variable, which reproduces as close as possible the behavior of a failure from a component. This document evaluates the impact of that choice by comparing as target different variables with discrete-non normal distribution, commonly selected by feature selection methods, versus variables that are continuous over time with a near normal distribution. Experimental results on real data show the use of continuous target variables selected by human expert on the field give better results than the use of targets obtained through feature selection algorithm.","PeriodicalId":126751,"journal":{"name":"2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122111719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Automatic event handling during robot assisted eye surgery 机器人辅助眼科手术过程中的自动事件处理

2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI) Pub Date : 2017-07-10 DOI: 10.1109/IWOBI.2017.7985530

M. Kozlovszky, Roland Dóczi, Eszter Josvai, G. Kronreif

引用次数: 0

Analysis of Disfluencies for automatic detection of Mild Cognitive Impartment: a deep learning approach 轻度认知输入自动检测的不流畅分析:一种深度学习方法

2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI) Pub Date : 2017-07-10 DOI: 10.1109/IWOBI.2017.7985526

K. L. D. Ipiña, Unai Martinez-de-Lizardui, P. Calvo, B. Beitia, J. Garcia-Melero, M. Ecay, A. Estanga, M. Faúndez-Zanuy

引用次数: 15

A minimallyinvasive portable system for sleep apnea detection 一种用于睡眠呼吸暂停检测的微创便携式系统

2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI) Pub Date : 2017-07-01 DOI: 10.1109/IWOBI.2017.7985540

Fábio Mendonça, Sheikh Shanawaz Mostafa, F. M. Dias, J. L. Navarro-Mesa, G. Juliá-Serdá, A. Ravelo-García

{"title":"A minimallyinvasive portable system for sleep apnea detection","authors":"Fábio Mendonça, Sheikh Shanawaz Mostafa, F. M. Dias, J. L. Navarro-Mesa, G. Juliá-Serdá, A. Ravelo-García","doi":"10.1109/IWOBI.2017.7985540","DOIUrl":"https://doi.org/10.1109/IWOBI.2017.7985540","url":null,"abstract":"Health care is changing the focus from primary and specialty care to prevention and wellness. Therefore, home health care is seen as one of the most relevant wellness services due to high accessibility and low cost of diagnosis. The growth relevance given to the sleep related disorders, due to the high importance of sleep in our lives, is specifically significant in this context encouraging the development of methods capable of non-invasively monitor and detection. One of the most relevant sleep disorders is obstructive sleep apnea, being the focus of the work presented in this paper to develop a minimally invasive portable system to detect this disorder using only oximetry. The system developed in this work is capable of collecting the oxygen saturation and pulse rate signals and send them wirelessly to the processing station where an application records and analyses the data. A graphical user interface guides the patients to start the monitoring session and a report is produced at the end of the analysis. The information is graphically presented to the patients and a resume file is generated to be analysed by the sleep technician. A database with 35 patients recordings was analysed, using a cross validation technique in order to evaluate the performance using a logistic regression model as a classifier. The algorithm achieved an accuracy of 86.6% (sensitivity = 66.9%, specificity = 94.5%, AUC = 90.7).","PeriodicalId":126751,"journal":{"name":"2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI)","volume":"516 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123086952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A superpixel-based approach based on consensus for delineating agricultural plots 一种基于共识的超像素农业地块划分方法

2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI) Pub Date : 2017-07-01 DOI: 10.1109/IWOBI.2017.7985537

Á. García-Pedrero, C. Gonzalo-Martín, M. Lillo-Saavedra, D. Rodríguez-Esparragón

引用次数: 0

Automated classification of exudates from digital fundus images 数字眼底图像渗出物的自动分类

2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI) Pub Date : 2017-07-01 DOI: 10.1109/IWOBI.2017.7985527

Ravitej Singh Rekhi, Ashish Issac, M. Dutta, C. Travieso-González

{"title":"Automated classification of exudates from digital fundus images","authors":"Ravitej Singh Rekhi, Ashish Issac, M. Dutta, C. Travieso-González","doi":"10.1109/IWOBI.2017.7985527","DOIUrl":"https://doi.org/10.1109/IWOBI.2017.7985527","url":null,"abstract":"Diabetic Retinopathy and Diabetic Macular Edema are diseases that affect vision and eventually may lead to blindness. Early detection is a must to prevent the progression of the disease imploring the need for effective computer-aided diagnostic techniques. In the following research paper, a robust method has been proposed to segment hard exudates from digital, color fundus images using anisotropic diffusion and adaptive thresholding followed by a support vector machine for classification. The geometrical, shape and orientation features have been used to correctly classify the segmented objects as exudates or false pixels. The proposed technique has a high specificity and eliminates false positives correctly when applied across a wide range of images. The exudates segmented have a high degree of accuracy and no false positives are generated in case of non-diseased images. The proposed method has been tested on a total 189 images of the DIARETDB1 and MESSIDOR database and achieves an accuracy of 92.13% and 90% respectively. The proposed method can be used in the development for some computer aided technology for ocular diseases detection from fundus images.","PeriodicalId":126751,"journal":{"name":"2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131179205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 29