A comprehensive survey on non-photorealistic rendering and benchmark developments for image abstraction and stylization. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath (Iran J. Comput. Sci., 2019)

Structure Preserving Non-Photorealistic Rendering Framework for Image Abstraction and Stylization of Low-Illuminated and Underexposed Images. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath (Int. J. Comput. Vis. Image Process., 2021)

Structure-preserving NPR framework for image abstraction and stylization. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath (J. Supercomput., 2021)

A Refined Structure Preserving Image Abstraction Framework as a Pre-Processing Technique for Desire Focusing on Prominent Structure and Artistic Stylization. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath; B. E. Rangaswamy (Vietnam. J. Comput. Sci., 2021)

Composite Fault Diagnosis of Rotating Machinery With Collaborative Learning. - M. P. Pavan Kumar; Cheng-Jyun Tang; Kun-Chih Jimmy Chen (VLSI-DAT, 2022)

HDR and image abstraction framework for dirt free line drawing to convey the shapes from blatant range images. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath; B. E. Rangaswamy (Multidimens. Syst. Signal Process., 2022)

Image Abstraction Framework as a Pre-processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning Approaches. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath; B. E. Rangaswamy; M. Varsha; H. P. Vinutha (SN Comput. Sci., 2022)

Correction to: Image Abstraction Framework as a Pre‑processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning Approaches. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath; B. E. Rangaswamy; M. Varsha; H. P. Vinutha (SN Comput. Sci., 2022)

Novel hybrid ARIMA-BiLSTM model for forecasting of rice blast disease outbreaks for sustainable rice production. - M. Varsha; B. Poornima; M. P. Pavan Kumar; S. Basavarajappa (Iran J. Comput. Sci., 2023)

Neural Network-Based Anomaly Detection Architecture for Bearing Fault Diagnosis. - M. P. Pavan Kumar; Jing-Wen Liang; Kun-Chih Chen (IEEE Trans. Instrum. Meas., 2025)