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pro vyhledávání: '"Hanuman Verma"'
Publikováno v:
Computational Intelligence Aided Systems for Healthcare Domain ISBN: 9781003368342
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae344e8ea72a1af3e67ef8633b5fb9df
https://doi.org/10.1201/9781003368342-1
https://doi.org/10.1201/9781003368342-1
Autor:
Akshansh Gupta, Dhirendra Kumar, Hanuman Verma, M. Tanveer, Andreu Perez Javier, Chin-Teng Lin, Mukesh Prasad
Publikováno v:
Neural Computing and Applications.
Mental task classification (MTC), based on the electroencephalography (EEG) signals is a demanding brain–computer interface (BCI). It is independent of all types of muscular activity. MTC-based BCI systems are capable to identify cognitive activity
Publikováno v:
Expert Systems with Applications
To combat the recent coronavirus disease 2019 (COVID-19), academician and clinician are in search of new approaches to predict the COVID-19 outbreak dynamic trends that may slow down or stop the pandemic. Epidemiological models like Susceptible-Infec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aba7cc5834ec259d6c536b2ddb41cba9
http://arxiv.org/abs/2108.13823
http://arxiv.org/abs/2108.13823
Publikováno v:
Soft Computing. 24:4003-4026
Fuzzy entropy clustering (FEC) is a variant of hard c-means clustering which utilizes the concept of entropy. However, the performance of the FEC method is sensitive to the noise and the fuzzy entropy parameter as it gives incorrect clustering and co
Publikováno v:
Pattern Recognition Letters. 122:45-52
Fuzzy c-means (FCM) algorithm is an unsupervised machine learning algorithm and has been used in many applications. But, FCM does not consider hesitation in the case of imprecise data. The intuitionistic fuzzy c-means (IFCM) algorithm, which is based
This book covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care systems. It will serve as an ideal reference text for graduate students and academic researchers in diverse eng
Publikováno v:
Multimedia Tools and Applications. 78:12663-12687
Fuzzy c-means (FCM) is one of the prominent method utilized for medical image segmentation. In literature intuitionistic fuzzy c-means (IFCM) is suggested which is based on intuitionistic fuzzy sets (IFSs) theory to handle uncertainty and vagueness a
Publikováno v:
Applied Soft Computing. 46:543-557
Original and segmented simulated brain image by different algorithms: (a) axial view of original simulated T1-weighted brain image with INU=0 and 1% noise, (b) skull stripping simulated brain image, (c) manual segmented CSF, GM and WM images, (d) IIF
Publikováno v:
International Journal of Imaging Systems and Technology. 24:277-283
Magnetic resonance imaging MRI brain image segmentation is essential at preliminary stage in the neuroscience research and computer-aided diagnosis. However, presence of noise and intensity inhomogeneity in MRI brain images leads to improper segmenta