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Dr. K. Umarani
Dr. K. Umarani
Associate professor and Head
Verified email at sjce.ac.in
Title
Cited by
Cited by
Year
Segmentation and Classification of MRI Brain Tumor
URK Mukambika P. S.
International Research Journal of Engineering and Technology (IRJET) 4 (7 …, 2017
342017
Automatic detection of neurological disordered voices using mel cepstral coefficients and neural networks
MS Holi
2013 IEEE Point-of-Care Healthcare Technologies (PHT), 76-79, 2013
252013
Analysis of speech characteristics of neurological diseases and their classification
KU Rani, MS Holi
2012 Third International Conference on Computing, Communication and …, 2012
242012
Pathological Voice Analysis To Detect Neurological Disorders Using MFCC & SVM
CMVK Umarani
International Journal of Advanced Electrical and Electronics Engineering 2 …, 2013
182013
Phoneme independent pathological voice detection using wavelet based MFCCs, GMM-SVM hybrid classifier
CM Vikram, K Umarani
2013 International Conference on Advances in Computing, Communications and …, 2013
162013
A hybrid model for neurological disordered voice classification using time and frequency domain features.
K Uma Rani, MS Holi
Artif. Intell. Res. 5 (1), 87-94, 2016
112016
Disordered voice classification using SVM and feature selection using GA
S Firdos, K Umarani
2016 Second International Conference on Cognitive Computing and Information …, 2016
92016
Analysis of EMG Signal to Evaluate Muscle Strength and Classification
KKU Rani K
International Research Journal of Engineering and Technology (IRJET) 4 (7 …, 2017
82017
A comparative study of neural networks and support vector machines for neurological disordered voice classification
KU Rani, MS Holi
Inter. J. Eng. Res. Techol 3, 2014
82014
GMM classifier for identification of neurological disordered voices using MFCC features
KU Rani, MS Holi
IOSR Journal of VLSI and Signal Processing 4, 44-51, 2015
52015
Wavelet Transform Features to Hybrid Classifier for Detection of Neurological-Disordered Voices
URKMS Holi
Journal of Clinical Engineering 42 (2), 89-98, 2017
42017
Reduction of noise in EEG signal using Faraday’s cage and wavelet transform: A comparative study
NFKU Rani
International journal of engineering science and computing 6 (7), 8566-8569, 2016
42016
Text independent classification of normal and pathological voices using MFCCs and GMM-UBM
CM Vikram, K Umarani
2013 IEEE Conference on Information & Communication Technologies, 1215-1220, 2013
42013
Parkinson’s Disease Detection using SPECT Images and Artificial Neural Network for Classification
KUR Nalini T S, Anusha M U
International Journal of Engineering research and Technology 8 (11), 105-108, 2020
3*2020
Binary Classification of Alzheimer's diease using MRI images and Support Vector Machine
VBC Uma Rani K, Sharvari S, Umesh M G
2021 IEEE Mysore Sub Section International Conference (MysuruCon), 2021
2021
Parkinson’s Disease Detection using SPECT Images and Artificial Neural Network for Classification
Nalini T S, Anusha M U, Uma rani K
International Journal of Engineering research and Technology 8 (11), 2020
2020
Ventricular Arrhythmia Classification By Neural Network Classifier Using Wavelet Transform Features
KUR Pannaga P. Kowshik
2nd ASAR INTERNATIONAL CONFERENCE, 12-16, 2015
2015
Neurological Disorder Detection Using Acoustic Features and SVM Classifier
K Uma Rani, MS Holi
American Journal of Biomedical Science and Engineering 1 (5), 71-81, 2015
2015
Acoustic Analysis of Nasal and Oral Speech of Normal versus Cleft Lip and Palate
AN Umarani K
International Journal for Scientific Research & Development 3 (5), 327-331, 2015
2015
A Wavelet Based MFCC Approach for the Phoneme Independent Pathological Voice Detection
CM Vikram, K Umarani
2013 Third International Conference on Advances in Computing and …, 2013
2013
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