AIMC Topic: Pattern Recognition, Automated

Clear Filters Showing 1521 to 1530 of 1689 articles

Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential.

Current opinion in pulmonary medicine
PURPOSE OF REVIEW: The application of artificial intelligence in the diagnosis of obstructive lung diseases is an exciting phenomenon. Artificial intelligence algorithms work by finding patterns in data obtained from diagnostic tests, which can be us...

Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
This paper explores multi-task learning (MTL) for face recognition. First, we propose a multi-task convolutional neural network (CNN) for face recognition, where identity classification is the main task and pose, illumination, and expression (PIE) es...

An Approach of Anomaly Detection and Neural Network Classifiers to Measure Cellulolytic Activity.

Combinatorial chemistry & high throughput screening
AIM AND OBJECTIVE: A common method used for massive detection of cellulolytic microorganisms is based on the formation of halos on solid medium. However, this is a subjective method and real-time monitoring is not possible. The objective of this work...

Speech emotion recognition based on brain and mind emotional learning model.

Journal of integrative neuroscience
Speech emotion recognition is a challenging obstacle to enabling communication between humans and machines. The present study introduces a new model of speech emotion recognition based on the relationship between the human brain and mind. According t...

Breast cancer tumor type recognition using graph feature selection technique and radial basis function neural network with optimal structure.

Journal of cancer research and therapeutics
CONTEXT: Breast cancer is a major cause of mortality in young women in the developing countries. Early diagnosis is the key to improve survival rate in cancer patients.

Finger language recognition based on ensemble artificial neural network learning using armband EMG sensors.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Deaf people use sign or finger languages for communication, but these methods of communication are very specialized. For this reason, the deaf can suffer from social inequalities and financial losses due to their communication restriction...

A novel hand gesture recognition method based on 2-channel sEMG.

Technology and health care : official journal of the European Society for Engineering and Medicine
Hand gesture recognition is getting more and more important in the area of rehabilitation and human machine interface (HMI). However, most current approaches are difficult to achieve practical application because of an excess of sensors. In this work...

Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data.

IEEE journal of biomedical and health informatics
Diet and physical activity are known as important lifestyle factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used to measure physical activity or detect eating time. In many intervent...

Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models.

Neuroinformatics
Pattern recognition models have been increasingly applied to neuroimaging data over the last two decades. These applications have ranged from cognitive neuroscience to clinical problems. A common limitation of these approaches is that they do not inc...

Automated System for Referral of Cotton-Wool Spots.

Current diabetes reviews
BACKGROUND: Cotton-wool spots also referred as soft exudates are the early signs of complications in the eye fundus of the patients suffering from diabetic retinopathy. Early detection of exudates helps in the diagnosis of the disease and provides be...