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 …

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 …

Leaf classification using shape, color, and texture features

A Kadir, LE Nugroho, A Susanto, PI Santosa - arxiv preprint arxiv …, 2013 - arxiv.org
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 …

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 …

Spiking neural P systems with learning functions

T Song, L Pan, T Wu, P Zheng… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
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 …

[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 …

DRFS: detecting risk factor of stroke disease from social media using machine learning techniques

S Pradeepa, KR Manjula, S Vimal, MS Khan… - Neural Processing …, 2023 - Springer
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 …

Empirical wavelet transform based features for classification of Parkinson's disease severity

QW Oung, H Muthusamy, SN Basah, H Lee… - Journal of medical …, 2018 - Springer
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 …

[PDF][PDF] Brain tumor detection using neural network

P Sapra, R Singh, S Khurana - International Journal of Science and …, 2013 - ijisme.org
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 …

[HTML][HTML] Artificial Intelligence and Machine Learning Techniques for Power Quality Event Classification: A Focused Review and Future Insights

IS Samanta, S Mohanty, SM Parida, PK Rout… - Results in …, 2024 - Elsevier
Power Quality (PQ) disturbances are critical in modern power systems, significantly
impacting electrical networks' stability, reliability, and efficiency. With the increasing …