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Automatic Detection of Seizures and Spikes

Journal of Clinical Neurophysiology, 1999
The recording of seizures and spikes is of primary importance in the evaluation of epileptic patients. This is not always an easy process because these events can be rare and are usually unpredictable. Since the earliest days of computer analysis of the EEG, researchers have developed methods for the automatic detection of spikes and, more recently, of
openaire   +2 more sources

Automatic Detection of Hypernasality in Children

2011
Automatic hypernasality detection in children with Cleft Lip and Palate is made considering five Spanish vowels. Characterization is performed by means of some acoustic and noise features, building a representation space with high dimensionality. Most relevant features are selected using Principal Components Analisis and linear correlation in order to ...
S. Murillo Rendón   +4 more
openaire   +1 more source

Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans

Comput. Biol. Medicine, 2018
Osteoporotic vertebral fractures (OVFs) are prevalent in older adults and are associated with substantial personal suffering and socio-economic burden. Early diagnosis and treatment of OVFs are critical to prevent further fractures and morbidity. However,
Naofumi Tomita   +2 more
semanticscholar   +1 more source

Automatic detection of abnormal gait

Image and Vision Computing, 2009
Analysing human gait has found considerable interest in recent computer vision research. So far, however, contributions to this topic exclusively dealt with the tasks of person identification or activity recognition. In this paper, we consider a different application for gait analysis and examine its use as a means of deducing the physical well-being ...
Christian Bauckhage   +2 more
openaire   +1 more source

Automatic Document Logo Detection

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007
Automatic logo detection and recognition continues to be of great interest to the document retrieval community as it enables effective identification of the source of a document. In this paper, we propose a new approach to logo detection and extraction in document images that robustly classifies and precisely localizes logos using a boosting strategy ...
Guangyu Zhu 0004, David S. Doermann
openaire   +1 more source

Automatic detection of sewer defects based on improved you only look once algorithm

, 2021
Yi Tan   +4 more
semanticscholar   +1 more source

Automatic infection detection system.

Studies in health technology and informatics, 2007
An infected person may be contagious already before the first symptoms appear. This person can, in the period of disease evolution, infect several associated citizens before consulting a general practitioner (GP). Early detection of contagion is therefore important to prevent spreading of diseases.
Ove Granberg   +3 more
openaire   +2 more sources

Automatic Detection of Local Reuse

2010
Local reuse detection is a prerequisite for a multitude of tasks ranging from document management and information retrieval to web search or plagiarism detection. Its results can be used to support authors in creating new learning resources or learners in finding existing ones by providing accurate suggestions for related documents. While the detection
Arno Mittelbach   +3 more
openaire   +1 more source

Automatic Urban Scene-Level Binary Change Detection Based on a Novel Sample Selection Approach and Advanced Triplet Neural Network

IEEE Transactions on Geoscience and Remote Sensing, 2023
Hong Fang, Shanchuan Guo, Xin Wang
exaly  

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