narendra bawane
narendra bawane
Professor / Principal, Jhulelal institute of technology, Nagpur, RTM Nagpur uni
Verified email at sbjit.edu.in
Title
Cited by
Cited by
Year
Improvement of the Hard Exudates Detection Method Used For Computer-Aided Diagnosis of Diabetic Retinopathy.
F Amel, M Mohammed, B Abdelhafid
International Journal of Image, Graphics & Signal Processing 4 (4), 2012
54*2012
ANFIS based HVDC control and fault identification of HVDC converter
N Bawane, AG Kothari, DP Kothari
HAIT Journal of Science and Engineering B 2 (5-6), 673-689, 2005
372005
Multiobjective PSO based adaption of neural network topology for pixel classification in satellite imagery
RK Agrawal, NG Bawane
Applied soft computing 28, 217-225, 2015
352015
An energy efficient deployment of nodes in wireless sensor network using Voronoi diagram
MR Ingle, N Bawane
2011 3rd International Conference on Electronics Computer Technology 6, 307-311, 2011
292011
Features extraction of ECG signal for detection of cardiac arrhythmias
PD Khandait, NG Bawane, SS Limaye
Int. J. Comput. Appl 8, 6-10, 2012
202012
An analysis of particle swarm optimization with data clustering-technique for optimization in data mining
A Khan, NG Bawane, S Bodkhe
IJCSE) International Journal on Computer Science and Engineering 2 (07 …, 2010
172010
Artificial neural network based fault identification of HVDC converter
N Bawane, AG Kothari
4th IEEE International Symposium on Diagnostics for Electric Machines, Power …, 2003
172003
Paper currency recognition system using characteristics extraction and Negatively Correlated NN Ensemble
AMT Pathrabe, NG Bawane
International Journal of Latest Trends in Computing (E-ISSN: 2045-5364) 1 (2 …, 2010
132010
Feature extraction parameters for genuine paper currency recognition & verification
T Pathrabe, NG Bawane
International journal of advanced engineering sciences and technologies 2 (1 …, 2011
122011
Spread spectrum pattern and PN sequence retrieval in wireless ad hoc network: design approach
HL Sharma, AR Deshmukh, NG Bawane
2011 Second International Conference on Emerging Applications of Information …, 2011
112011
Efficient ECG abnormalities recognition using neuro-fuzzy approach
PD Khandait, NG Bawane, SS Limaye, SP Khandait
International Journal of Advanced Research in Computer Science and Software …, 2012
102012
An effective technique for the content based image retrieval to reduce the semantic gap based on an optimal classifier technique
PP Mane, NG Bawane
Pattern Recognition and Image Analysis 26 (3), 597-607, 2016
72016
Selection of optimum features for neural network using genetic algorithm in classification of brain computer interface data
S Moon, N Bawane, P Hazare
International Journal of Advanced Research in Computer and Communication …, 2015
72015
Classification of paddy Varieties using Image processing
SF Lilhare, NG Bawane
National Conference on Innovative Paradigms in Engineering and Technology, 33-35, 2012
72012
Brain computer interface using EEG signals
A Bhattacharya, DNG Bawane, SM Nirkhi
GHRCE, Nagpur, 0
7
Optimal reactive power dispatch by furnishing UPFC using multi-objective hybrid GAPSO approach for transmission loss minimisation and voltage stability
SS Shrawane, M Diagavane, N Bawane
2015 International Conference on Nascent Technologies in the Engineering …, 2015
62015
Artificial neural network based control strategies for paddy drying process
SF Lilhare, NG Bawane
International Journal of Information Technology and Computer Science 6 (11 …, 2014
62014
A Clustering Solution for Wireless Sensor Networks Based on Energy Distribution & Genetic Algorithm
SR Gupta, NG Bawane, S Akojwar
2013 6th International Conference on Emerging Trends in Engineering and …, 2013
62013
Comparative study of various image compression techniques
PB Pokle, NG Bawane
International Journal of Scientific & Engineering Research 4 (5), 1902, 2013
62013
Drying rate analysis of different size paddy processed under various drying conditions in LSU dryer
SF Lilhare, NG Bawane
International Journal of Engineering Research and Technology 1 (7), 2012
62012
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