RR
Rajesh Reghunadhan
Also known as: R. Rajesh
Central University of Kerala, Central University of South Bihar
Research areas: Computer Science · Artificial Intelligence · Nonlinear Optical Materials Research · Fuzzy Logic and Control Systems · Advanced Chemical Physics Studies
Employment
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Central University of Kerala Associate Professor and Head2016 - Present
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Central University of Bihar Associate Professor2013 - 2016
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (39)
- Digital elevation model and SAR imagery — A marriage for effectual flood detection using novel lightweight ensemble neural networks Save
- Applying deep neural networks for the automatic recognition of sign language words: A communication aid to deaf agriculturists Save
- Electromyography-Based Detection of Human Hand Movement Gestures Save
- Hand gestures for emergency situations: A video dataset based on words from Indian sign language Save
- Time-domain exponential energy for epileptic EEG signal classification Save
- A Survey on Different Visual Speech Recognition Techniques Save
- Lung Cancer Detection Using CT Scan Images: A Review on Various Image Processing Techniques Save
- Fuzzy logic for Chemoinformatics - A review Save
- Kirlian images based early detection of diabetics using neural network Save
- Classification of a class of agricultural images using multi guided multicolor coherence feature Save
- Spectral histogram of oriented gradients (SHOGs) for Tamil language male/female speaker classification Save
- A modified ant colony optimization based approach for image edge detection Save
- A note on fingerprint recognition systems Save
- A note on rough set theory Save
- Chemoinformatics - A quick review Save
- Coherence vector of Oriented Gradients for traffic sign recognition using Neural Networks Save
- Could aura images can be treated as medical images? Save
- FMRI brain artifact due to normalization: A study Save
- On experimenting with pedestrian classification using neural network Save
- On the type-1 and type-2 fuzziness measures for thresholding MRI brain images Save