Year : 2021
Recurrent Neural Networks for Edge Intelligence: A Survey
Cite this Research Publication : Varsha S. Lalapura, Amudha J., and Hariramn Selvamurug Satheesh, “Recurrent Neural Networks for Edge Intelligence: A Survey”, ACM Comput. Surv., vol. 54, 2021.
Publisher : ACM Comput. Surv., Association for Computing Machinery
Year : 2020
Intelligent gaze tracking approach for trail making test
Cite this Research Publication :
Jyotsna C, Amudha J., Rao, R., and Nayar, R., “Intelligent gaze tracking approach for trail making test”, International Symposium on Intelligent Systems Technologies and Applications, vol. 38, pp. 1-12, 2020.
Publisher : International Symposium on Intelligent Systems Technologies and Applications
Year : 2020
Integration of Prophet Model and Convolution Neural Network on Wikipedia Trend Data
Cite this Research Publication :
A. Sahay and Amudha J., “Integration of Prophet Model and Convolution Neural Network on Wikipedia Trend Data”, Journal of Computational and Theoretical Nanoscience, vol. 17, no. 1, pp. 260–266, 2020.
Publisher : Journal of Computational and Theoretical Nanoscience, American Scientific Publishers
Year : 2020
A fuzzy based system for target search using top-down visual attention
Cite this Research Publication : Amudha J., K.V, D., and Aarthi, R., “A fuzzy based system for target search using top-down visual attention”, Journal of Intelligent and Fuzzy Systems, vol. 38, no. 5, pp. 6311-6323, 2020.
Publisher : Journal of Intelligent and Fuzzy Systems, IOS Press
Year : 2018
Eye gaze– based optic disc detection system
Cite this Research Publication : N. Kulkarni and Amudha J., “Eye gaze– based optic disc detection system”, Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1713 - 1722, 2018.
Publisher : Journal of Intelligent & Fuzzy Systems, IOS Press,
Year : 2018
A fuzzy inference system to recommend skills for source code review using eye movement data
Cite this Research Publication :
K. R. Chandrika and Amudha J., “A fuzzy inference system to recommend skills for source code review using eye movement data”, Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1743 - 1754, 2018.
Publisher : Journal of Intelligent & Fuzzy Systems, IOS Press,
Year : 2018
A fuzzy based eye gaze point estimation approach to study the task behavior in autism spectrum disorder
Cite this Research Publication : Amudha J. and Nandakumar, H., “A fuzzy based eye gaze point estimation approach to study the task behavior in autism spectrum disorder”, Journal of Intelligent and Fuzzy Systems, vol. 35, pp. 1459-1469, 2018.
Publisher : Journal of Intelligent and Fuzzy Systems, IOS Press
Year : 2017
Helping hands–an eye tracking enabled user interface framework for amyotrophic lateral sclerosis patients
Cite this Research Publication :
T. Sawhney, S Reddy, P., Amudha J., and Jyotsna C, “Helping hands–an eye tracking enabled user interface framework for amyotrophic lateral sclerosis patients”, International Journal of Control Theory and Applications, vol. 10, no. 15, 2017.
Publisher : International Journal of Control Theory and Applications
Year : 2017
Comparison of experts and non-experts gaze pattern for the target as optic disc in the fundus retinal images
Cite this Research Publication :
N. Kulkarni and Amudha J., “Comparison of experts and non-experts gaze pattern for the target as optic disc in the fundus retinal images”, International Journal of Applied Engineering Research, vol. 12, no. 14, pp. 4106–4112, 2017.
Publisher : International Journal of Applied Engineering Research
Year : 2016
Sketch based Image Retrieval using Information Content of Orientation
Cite this Research Publication :
R. Aarthi, Anjana, K. P., and Amudha, J., “Sketch based Image Retrieval using Information Content of Orientation”, Indian Journal of Science and Technology, vol. 9, 2016.
Publisher : Indian Journal of Science and Technology, Indian Society for Education and Environment
Year : 2016
Detection of Moving Objects in Surveillance Video by Integrating Bottom-up Approach with Knowledge Base
Cite this Research Publication : R. Aarthi, Amudha, J., K., B., and Varrier, A., “Detection of Moving Objects in Surveillance Video by Integrating Bottom-up Approach with Knowledge Base”, Procedia Computer Science, vol. 78, pp. 160 - 164, 2016.
Publisher : Procedia Computer Science.
Year : 2015
A cost effective low computational approach on eye event recognition using non invasive method
Cite this Research Publication :
Amudha J. and V., J., “A cost effective low computational approach on eye event recognition using non invasive method”, International Journal of Applied Engineering Research, vol. 10, no. 20, pp. 18980-18984., 2015.
Publisher : International Journal of Applied Engineering Research
Year : 2015
Comparing several selection strategies in GA for software testing
Cite this Research Publication :
K. R. Chandrika and Amudha J., “Comparing several selection strategies in GA for software testing”, International Journal of Applied Engineering Research, vol. 10, no. 20, pp. 18892-18896., 2015.
Publisher : International Journal of Applied Engineering Research
Year : 2015
Moving Human Detection in Video Using Dynamic Visual Attention Model
Cite this Research Publication :
G. Sanjay, Amudha, J., and Jose, J. Tressa, “Moving Human Detection in Video Using Dynamic Visual Attention Model”, Advances in Intelligent Systems and Computing, vol. 320, pp. 117-124, 2015.
Publisher : Advances in Intelligent Systems and Computing
Year : 2015
Design of an Economic Voice Enabled Assistive System for the Visually Impaired
Cite this Research Publication :
D. .Radha and Amudha, J., “Design of an Economic Voice Enabled Assistive System for the Visually Impaired”, International Journal of Applied Engineering Research, vol. 10, pp. 32711–32721, 2015.
Publisher : International Journal of Applied Engineering Research
Year : 2015
Analysis of fuzzy rule optimization models
Cite this Research Publication :
A. J., Radha D., and S., S., “Analysis of fuzzy rule optimization models”, International Journal of Engineering and Technology, vol. 7, pp. 1564-1570, 2015.
Publisher : International Journal of Engineering and Technology, Engg Journals Publications
Year : 2014
Study of Measuring Dissimilarity between Nodes to Optimize the Saliency Map
Cite this Research Publication :
Radha D., Amudha, J., and Jyotsna C, “Study of Measuring Dissimilarity between Nodes to Optimize the Saliency Map”, Int.J.Computer Technology & Applications, vol. 5, no. 3, pp. 993-1000, 2014.
Publisher : Int.J.Computer Technology Applications
Year : 2013
Detection of Unauthor- ized Human Entity in Surveillance Video
Cite this Research Publication :
Radha D. and Amudha J., “Detection of Unauthor- ized Human Entity in Surveillance Video”, International Journal of Engineering and Technology (IJET), vol. 5, no. 3, pp. 3101-3108, 2013.
Publisher : International Journal of Engineering and Technology (IJET),
Year : 2013
Detection of unauthorized human entity in surveillance video
Cite this Research Publication :
Radha D. and Amudha, J., Ramyasree P, Ravindran Ranju, Shalini S, “Detection of Unauthorized Human Entity in Surveillance Video”, International Journal of Engineering and Technology (IJET), vol. 5, no. 3, pp. 3101-3108, 2013.
Publisher : International Journal of Engineering and Technology (IJET)
Year : 2012
Performance evaluation of bottom-up and top-down approaches in computational visual attention system
Cite this Research Publication :
J. Amudha, “Performance evaluation of bottom-up and top-down approaches in computational visual attention system”, 2012.
Publisher : Coimbatore (2012)
Year : 2011
Feature Selection in Top Down Visual Attention Model with WEKA
Cite this Research Publication : J. Amudha, Soman, K. P., and Kiran, Y., “Feature Selection in Top Down Visual Attention Model with WEKA”, International Journal of Computer Applications, vol. 24, pp. 38–43, 2011.
Publisher : International Journal of Computer Applications
Year : 2011
A Knowledge Driven Computational Visual Attention Model
Cite this Research Publication :
J. Amudha, Dr. Soman K. P., and S Reddy, P., “A Knowledge Driven Computational Visual Attention Model”, International Journal of Computer Science Issues, vol. 8, no. 3, 2011.
Publisher : Citeseer
Year : 2011
Feature Selection in Top-Down Visual Attention Model using WEKA.
Cite this Research Publication :
Amudha J., Soman, K. P., and Kiran, Y., “Feature Selection in Top Down Visual Attention Model with WEKA”, International Journal of Computer Applications, vol. 24, pp. 38–43, 2011.
Publisher : International Journal of Computer Applications
Year : 2011
Feature Selection in top-down visual attention model
Cite this Research Publication :
K. P. Soman and Amudha J., “Feature Selection in top-down visual attention model”, International Journal of Computer application, vol. 24, pp. 38–43, 2011.
Publisher : International Journal of Computer application
Year : 2009
Selective tuning visual attention model
Cite this Research Publication : Amudha J. and Dr. Soman K. P., “Selective tuning visual attention model”, International Journal of Recent Trends in Engineering, vol. 2, pp. 117–119, 2009.
Publisher : International Journal of Recent Trends in Engineering
Year : 2009
Saliency based visual tracking of vehicle
Cite this Research Publication : J. Amudha and Dr. Soman K. P., “Saliency based visual tracking of vehicle”, International Journal of Recent Trends in Engineering, vol. 2, no. 2, p. 114, 2009.
Publisher : International Journal of Recent Trends in Engineering
Year : 2005
Generation of IFS code for unstructured object Categorization
Cite this Research Publication :
Amudha J., Raghesh, K. K., and P, N., “Generation of IFS code for unstructured object Categorization”, 2005.
Publisher : ICCR