AIMC Topic: Pattern Recognition, Automated

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Effect of conductance linearity and multi-level cell characteristics of TaO-based synapse device on pattern recognition accuracy of neuromorphic system.

Nanotechnology Mar 16, 2018
To improve the classification accuracy of an image data set (CIFAR-10) by using analog input voltage, synapse devices with excellent conductance linearity (CL) and multi-level cell (MLC) characteristics are required. We analyze the CL and MLC charact...
Neural Networks, Computer Tantalum Oxides Pattern Recognition, Automated Electric Conductivity
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Hybrid gray wolf optimizer-artificial neural network classification approach for magnetic resonance brain images.

Applied optics Mar 1, 2018
Automated and accurate classification of magnetic resonance images (MRIs) of the brain has great importance for medical analysis and interpretation. This paper presents a hybrid optimized classification method to classify the brain tumor by classifyi...
Humans Neural Networks, Computer Machine Learning Algorithms Magnetic Resonance Imaging Pattern Recognition, Automated Brain Diseases Brain Models, Theoretical Support Vector Machine
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Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential.

Current opinion in pulmonary medicine Mar 1, 2018
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...
Artificial Intelligence Machine Learning Breath Tests Humans Algorithms Respiratory Sounds Pattern Recognition, Automated Tomography, X-Ray Computed Lung Diseases, Obstructive Neural Networks, Computer Respiratory Function Tests Diagnosis, Computer-Assisted
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Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 1, 2018
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...
Face Pattern Recognition, Automated Biometric Identification Humans Databases, Factual Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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An Approach of Anomaly Detection and Neural Network Classifiers to Measure Cellulolytic Activity.

Combinatorial chemistry & high throughput screening Jan 1, 2018
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...
Hydrolysis Models, Molecular Neural Networks, Computer Congo Red Color Pattern Recognition, Automated Machine Learning Coloring Agents Gene Library Cellulose
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Speech emotion recognition based on brain and mind emotional learning model.

Journal of integrative neuroscience Jan 1, 2018
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...
Emotions Models, Neurological Neural Networks, Computer Memory, Short-Term Humans Machine Learning Pattern Recognition, Automated Brain Pattern Recognition, Physiological Models, Psychological Memory, Long-Term Computer Simulation Speech Perception Learning
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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 Jan 1, 2018
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.
Humans Neural Networks, Computer Algorithms Databases, Factual Breast Neoplasms Diagnosis, Computer-Assisted Models, Statistical Pattern Recognition, Automated Computer Simulation Prognosis Female
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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 Jan 1, 2018
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...
Pattern Recognition, Automated Fingers Sign Language Reproducibility of Results Signal Processing, Computer-Assisted Electromyography Humans Neural Networks, Computer
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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 Jan 1, 2018
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...
Humans Neural Networks, Computer Artificial Intelligence Adult Male Algorithms Female Hand Gestures Pattern Recognition, Automated Biosensing Techniques Signal Processing, Computer-Assisted
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Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data.

IEEE journal of biomedical and health informatics Jan 1, 2018
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...
Nutrition Policy United States Department of Agriculture Eating Algorithms Telemedicine Young Adult Smartphone Pattern Recognition, Automated Adult United States Natural Language Processing Humans Adolescent Nutrition Assessment Software Wearable Electronic Devices Diet
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