Automatic Detection of Texture Defects using Texture-Periodicity and Chi-square Histogram Distance. - V. Asha; Nagappa U. Bhajantri; P. Nagabhushan (IICAI, 2011)

Unsupervised Detection of Texture Defects using Texture-Periodicity and Universal Quality Index. - V. Asha; P. Nagabhushan; Nagappa U. Bhajantri (IICAI, 2011)

Undithering using linear filtering and non-linear diffusion techniques - V. Asha (CoRR, 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)

Automatic Detection of Defects on Periodically Patterned Textures. - V. Asha; Nagappa U. Bhajantri; P. Nagabhushan (J. Intell. Syst., 2011)

Automatic Detection of Texture Defects Using Texture-Periodicity and Gabor Wavelets - V. Asha; Nagappa U. Bhajantri; P. Nagabhushan (CoRR, 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 Jensen-Shannon Divergence. - V. Asha; Nagappa U. Bhajantri; P. Nagabhushan (J. Inf. Process. Syst., 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)

Periodicity Extraction using Superposition of Distance Matching Function and One-dimensional Haar Wavelet Transform. - V. Asha; Nagappa U. Bhajantri; P. Nagabhushan (CoRR, 2013)

Texture Defect Detection in Gradient Space. - V. Asha; Nagappa U. Bhajantri; P. Nagabhushan (CoRR, 2014)

Synthesis of Near-regular Natural Textures. - V. Asha (CoRR, 2017)

Ocular Disease Recognition using Machine Learning. - V. Asha; Govindaraj M; Binju Saju; Rajeev Nayan; Ravi Kishan Kumar; Sagar Sharma (ICCCNT, 2023)

Diabetics Mellitius Caused Vision Impairment Discernment Using ML. - Arpana Prasad; V. Asha; Neha; Naveen Kumar P; Imran Pasha; Junaid Pasha M (ICCCNT, 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 (ICCCNT, 2023)

An automatic classification approach for preterm delivery detection based on deep learning. - Kavitha Shimoga Narayana Rao; V. Asha (Biomed. Signal Process. Control., 2023)

The New Energy Demand Equation Response Mechanisms for Consumers and Prosumers. - V. Asha; G. Kiran Kumar; Q. Mohammad; Lavish Kansal; Rowsonara Begum; Navya Gupta (IC3I, 2024)

Adaptive Multi-Resolution Framework for Scalable and Efficient Big Data Processing. - V. Asha; Yagateela Pandu Rangaiah; Ginni Nijhawan; Ali Albawi; K. Pushpa Rani; Susmita Kalyani (IC3I, 2024)

Advancing Image Segmentation, Analysis, and Feature Extraction Techniques. - V. Asha; Yagateela Pandu Rangaiah; Ginni Nijhawan; Susmita Kalyani; K. Pushpa Rani; Ali Albawi (IC3I, 2024)

Elevating Digital Experiences by Enhancing Service Delivery through Revolutionary Cloud Services and Applications. - V. Asha; S. Sreekanth; Ginni Nijhawan; K. Varada Rajkumar; Monica Garg; Ali Abduhussien Hameed (IC3I, 2024)

Machine Learning in Economic Forecasting: A Comprehensive Review. - Arhaan Gupta; Kirana Kumar; V. Asha; S. Naveen Kumar (IC3I, 2024)

KubeEdge for Scalable IoT Applications. - Lalit Mohan Saini; Prerna Ajmani; V. Asha; Khobragade Pithamber; N. Sreevani (IC3I, 2024)

MEET: Advancing Mobility-Enhanced Edge Intelligence for Efficient and Sustainable 6G Networks. - Madhu Kumar Vanteru; Kavitha Dasari; V. Asha; Navdeep Singh; Dalael Saad Abdul-Zahra; R. Ramprakash (IC3I, 2024)

Predicting risk factors associated with preterm delivery using a machine learning model. - S. N. Kavitha; V. Asha (Multim. Tools Appl., 2024)

Impact of feature cross in hybrid optimization based convolutional neural networks for train delay prediction. - V. Asha; Heena Gupta (Multim. Tools Appl., 2025)