V. Asha

According to our database, V. Asha authored at least 17 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Predicting risk factors associated with preterm delivery using a machine learning model.

S. N. Kavitha, V. Asha

Multim. Tools Appl., September, 2024

2023

An automatic classification approach for preterm delivery detection based on deep learning.

Kavitha Shimoga Narayana Rao, V. Asha

Biomed. Signal Process. Control., July, 2023

Vocal Feature Extraction Based Hybrid ML Prototype for Parkinson's Disease Prediction.

Binju Saju, V. Asha, Arpana Prasad, Deva Mahesh, Bestty Prem, Chandan H. P

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Diabetics Mellitius Caused Vision Impairment Discernment Using ML.

Arpana Prasad, V. Asha, Neha, Naveen Kumar P, Imran Pasha, Junaid Pasha M

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Ocular Disease Recognition using Machine Learning.

V. Asha, Govindaraj M, Binju Saju, Rajeev Nayan, Ravi Kishan Kumar, Sagar Sharma

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2017

Synthesis of Near-regular Natural Textures.

V. Asha

CoRR, 2017

2014

Texture Defect Detection in Gradient Space.

V. Asha, Nagappa U. Bhajantri, P. Nagabhushan

CoRR, 2014

2013

Periodicity Extraction using Superposition of Distance Matching Function and One-dimensional Haar Wavelet Transform.

V. Asha, Nagappa U. Bhajantri, P. Nagabhushan

CoRR, 2013

2012

Automatic extraction of texture-periodicity using superposition of distance matching functions and their forward differences.

V. Asha, P. Nagabhushan, Nagappa U. Bhajantri

Pattern Recognit. Lett., 2012

Automatic Detection of Texture-defects using Texture-periodicity and Jensen-Shannon Divergence.

V. Asha, Nagappa U. Bhajantri, P. Nagabhushan

J. Inf. Process. Syst., 2012

Similarity measures for automatic defect detection on patterned textures.

V. Asha, Nagappa U. Bhajantri, P. Nagabhushan

Int. J. Inf. Commun. Technol., 2012

Automatic Detection of Texture Defects Using Texture-Periodicity and Gabor Wavelets

V. Asha, Nagappa U. Bhajantri, P. Nagabhushan

CoRR, 2012

2011

Automatic Detection of Defects on Periodically Patterned Textures.

V. Asha, Nagappa U. Bhajantri, P. Nagabhushan

J. Intell. Syst., 2011

GLCM-based chi-square histogram distance for automatic detection of defects on patterned textures.

V. Asha, Nagappa U. Bhajantri, P. Nagabhushan

Int. J. Comput. Vis. Robotics, 2011

Undithering using linear filtering and non-linear diffusion techniques

V. Asha

CoRR, 2011

Unsupervised Detection of Texture Defects using Texture-Periodicity and Universal Quality Index.

V. Asha, P. Nagabhushan, Nagappa U. Bhajantri

Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

Automatic Detection of Texture Defects using Texture-Periodicity and Chi-square Histogram Distance.

V. Asha, Nagappa U. Bhajantri, P. Nagabhushan

Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011