Results 121 to 130 of about 213,329 (165)

Evaluating automatic creaky voice detection methods

The Journal of the Acoustical Society of America, 2022
There is growing interest in research on the non-modal voice quality, creaky voice; however, its identification often relies on time-consuming manual annotation, leading to a recent focus on automatic creak detection methods. Various automatic methods have been proposed, which rely on varying types and combinations of acoustic cues for creak detection.
Hannah White, Joshua Penney, Andy Gibson, Anita Szakay, Felicity Cox   +4 more
openaire   +3 more sources

An Automatic Petechia Dots Detection Method on Tongue

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Tongue diagnosis with features like tongue coating, petechia, color, size and so on is of great effectiveness and convenience in traditional Chinese medicine. With the development of image processing techniques, automatic image processing can reduce hospital inspection for patients.
Chunqi, Qian, Hongyu, Gu, Zhecheng, Yang, Chuanchi, Wang, Jingqing, Hu, Hong, Chen   +5 more
openaire   +2 more sources

A new method for automatic wheeze detection

Technology and Health Care, 1998
A new automatic wheeze detection method which is based on image processing techniques applied to the sonagram was developed here. In the calculation of the sonagram, autoregressive and FFT spectrum estimation methods were compared. The method was validated in four wheezing asthmatic patients by a pulmonary physician. Nine out of ten wheezes longer than
Waris, M., Helistö, Panu, Haltsonen, S., Saarinen, Ari, Sovijärvi, A.   +4 more
openaire   +5 more sources

Machine Learning Methods for Automatic Gender Detection

International Journal on Artificial Intelligence Tools, 2022
Automatic gender detection has attracted the attention of many research fields such as forensic linguistics or marketing. Within these areas, gender detection has been approached as a classification problem and, for this reason, supervised Machine Learning algorithms such as Naïve Bayes, Logistic Regression and Support Vector Machines, among others ...
Damián Morales Sánchez, Antonio Moreno, M. Dolores Jiménez López   +2 more
openaire   +1 more source

Automatic Method for Anomaly Detection while Drilling

First EAGE Digitalization Conference and Exhibition, 2020
Summary A lot of anomalies can occur and lead to failures during drilling process. It is crucial to detect these deviations from normal process as soon as possible, so engineers can analyse and decide what activities to take in order to prevent potential NPT.
M. Golitsyna, A. Semenikhin, I. Chebuniaev, V. Vasilyev, V. Koryabkin, V. Makarov, I. Simon, T. Baybolov, O. Osmonalieva   +8 more
openaire   +1 more source

Automatic Detection Method of Bacteria

2007 International Conference on Information Acquisition, 2007
In the bacteria images automatic analysis system, bacteria detection is a vital step. According to the characteristics of sample images, this paper proposed a method based on color space conversion, self-organizing feature map (SOFM) neural network and morphological operations.
Jun Zhang, Qieshi Zhang
openaire   +1 more source

Automatic hand phantom map detection methods

2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2015
Many amputees have maps of referred sensation from their missing hand on their residual limb (phantom maps). This skin area can serve as a target for providing amputees with tactile sensory feedback. Providing tactile feedback on the phantom map can improve the object manipulation ability, enhance embodiment of myoelectric prostheses users and help ...
Huaiqi Huang, Tao Li, Christian Antfolk, Claudio Bruschini, Christian Enz, Jorn Justiz, Volker M. Koch   +6 more
openaire   +1 more source

Automatic brain cognitive control detection method

International Conference on Software Intelligence Technologies and Applications & International Conference on Frontiers of Internet of Things 2014, 2014
In the Internet of Things (IoT) times, our brains are powerful control center. In order to solve the newly appearing problem of automatic brain cognitive control detection, we design a system in this paper. An auditory cognitive control EEG experiment was used to acquire EEG data of the user.
null Bo Yu, null Hai-feng Li, null Xun-da Wang, null Lin Ma   +3 more
openaire   +1 more source

Automatic license plate detection using vertical edge detection method

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015
This paper proposes a faster mechanism for license plate detection. Usually license plate has more vertical edges compared to horizontal edge. By focusing on this concept an algorithm called VEDA is used here. First convert the color image into gray image. Then for binarizing the image a technique called adaptive thresholding (AT) is used. The noise in
Amritha Mary Davis, C. Arunvinodh, N.P. Arathy Menon   +2 more
openaire   +1 more source

The automatic detection method for airport runway

2015 8th International Congress on Image and Signal Processing (CISP), 2015
Runway is the most significant sign of airport because of its obvious line and edge features, so traditional methods always use the Hough transform to accomplish the detection. Given the problems that Hough transform needs to consider a lot of factors which spends a lot of time, and there are any breakpoints in results, an improved algorithm based on ...
Xinwei Bai, Yu Han, Di Wu, Fengjing Zhang   +3 more
openaire   +1 more source