Yogesh H. Dandawate
Orcid: 0000-0002-2528-6856
According to our database1,
Yogesh H. Dandawate
authored at least 14 papers
between 2008 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2022
No reference image quality assessment with shape adaptive discrete wavelet features using neuro-wavelet model.
Multim. Tools Appl., 2022
Galaxy classification: a deep learning approach for classifying Sloan Digital Sky Survey images.
CoRR, 2022
2021
Multimodal biometric identification system with deep learning based feature level fusion using maximum orthogonal method.
Int. J. Knowl. Based Intell. Eng. Syst., 2021
Convolutional neural network-based feature extraction using multimodal for high security application.
Evol. Intell., 2021
2020
2017
Edge-based singular value decomposition for full reference colour image quality assessment.
Int. J. Comput. Vis. Robotics, 2017
Generalized referenceless image quality assessment framework using texture energy measures and pattern strength features.
Turkish J. Electr. Eng. Comput. Sci., 2017
2016
Multimodal biometric cryptosystem based on fusion of wavelet and curvelet features in robust security application.
Int. J. Biom., 2016
2015
Int. J. Comput. Vis. Robotics, 2015
Int. J. Comput. Appl. Technol., 2015
An automated approach for classification of plant diseases towards development of futuristic Decision Support System in Indian perspective.
Proceedings of the 2015 International Conference on Advances in Computing, 2015
2014
No reference image quality assessment using blocked-based and frequency domain statistical features: a machine learning approach.
Int. J. Commun. Networks Distributed Syst., 2014
2013
Rivers and Coastlines Detection in Multispectral Satellite Images Using Level Set Method and Modified Chan Vese Algorithm.
Proceedings of the 2013 2nd International Conference on Advanced Computing, 2013
2008
Compression of Medical Images Using Enhanced Vector Quantizer Designed with Self Organizing Feature Maps.
Proceedings of the Medical Biometrics, First International Conference, 2008