Artificial neural networks for vibration based inverse parametric identifications: A review
MS Hossain, ZC Ong, Z Ismail, S Noroozi… - Applied Soft Computing, 2017 - Elsevier
Vibration behavior of any solid structure reveals certain dynamic characteristics and property
parameters of that structure. Inverse problems dealing with vibration response utilize the …
parameters of that structure. Inverse problems dealing with vibration response utilize the …
Facial expression recognition: A survey
Y Huang, F Chen, S Lv, X Wang - Symmetry, 2019 - mdpi.com
Facial Expression Recognition (FER), as the primary processing method for non-verbal
intentions, is an important and promising field of computer vision and artificial intelligence …
intentions, is an important and promising field of computer vision and artificial intelligence …
Leaf classification using shape, color, and texture features
Several methods to identify plants have been proposed by several researchers. Commonly,
the methods did not capture color information, because color was not recognized as an …
the methods did not capture color information, because color was not recognized as an …
Integrating well log interpretations for lithofacies classification and permeability modeling through advanced machine learning algorithms
WJ Al-Mudhafar - Journal of Petroleum Exploration and Production …, 2017 - Springer
In this paper, an integrated procedure was adopted to obtain accurate lithofacies
classification to be incorporated with well log interpretations for a precise core permeability …
classification to be incorporated with well log interpretations for a precise core permeability …
Spiking neural P systems with learning functions
Spiking neural P systems (SN P systems) are a class of distributed and parallel neural-like
computing models, inspired from the way neurons communicate by means of spikes. In this …
computing models, inspired from the way neurons communicate by means of spikes. In this …
[PDF][PDF] Automated brain tumor detection and identification using image processing and probabilistic neural network techniques
DA Dahab, SSA Ghoniemy, GM Selim - International journal of …, 2012 - academia.edu
In this paper, modified image segmentation techniques were applied on MRI scan images in
order to detect brain tumors. Also in this paper, a modified Probabilistic Neural Network …
order to detect brain tumors. Also in this paper, a modified Probabilistic Neural Network …
DRFS: detecting risk factor of stroke disease from social media using machine learning techniques
In general humans are said to be social animals. In the huge expanded internet, it's really
difficult to detect and find out useful information about a medical illness. In anticipation of …
difficult to detect and find out useful information about a medical illness. In anticipation of …
Empirical wavelet transform based features for classification of Parkinson's disease severity
Parkinson's disease (PD) is a type of progressive neurodegenerative disorder that has
affected a large part of the population till now. Several symptoms of PD include tremor …
affected a large part of the population till now. Several symptoms of PD include tremor …
[PDF][PDF] Brain tumor detection using neural network
The segmentation of brain tumors in magnetic resonance images (MRI) is a challenging and
difficult task because of the variety of their possible shapes, locations, image intensities. In …
difficult task because of the variety of their possible shapes, locations, image intensities. In …
[HTML][HTML] Artificial Intelligence and Machine Learning Techniques for Power Quality Event Classification: A Focused Review and Future Insights
Power Quality (PQ) disturbances are critical in modern power systems, significantly
impacting electrical networks' stability, reliability, and efficiency. With the increasing …
impacting electrical networks' stability, reliability, and efficiency. With the increasing …