M. P. Pavan Kumar - researchr alias

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Viewing Publication 1 - 10 from 10

2025

Neural Network-Based Anomaly Detection Architecture for Bearing Fault DiagnosisM. P. Pavan Kumar, Jing-Wen Liang, Kun-Chih Chen. tim, 74:1-14, 2025. [doi]

2023

Novel hybrid ARIMA-BiLSTM model for forecasting of rice blast disease outbreaks for sustainable rice productionM. Varsha, B. Poornima, M. P. Pavan Kumar, S. Basavarajappa. irjocs, 6(2):147-159, June 2023. [doi]

2022

Composite Fault Diagnosis of Rotating Machinery With Collaborative LearningM. P. Pavan Kumar, Cheng-Jyun Tang, Kun-Chih Jimmy Chen. vlsi-dat 2022: 1-4 [doi]

HDR and image abstraction framework for dirt free line drawing to convey the shapes from blatant range imagesM. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy, C. Manjunath, B. E. Rangaswamy. mssp, 33(2):401-458, 2022. [doi]

Image Abstraction Framework as a Pre-processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning ApproachesM. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy, C. Manjunath, B. E. Rangaswamy, M. Varsha, H. P. Vinutha. sncs, 3(1):87, 2022. [doi]

Correction to: Image Abstraction Framework as a Pre‑processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning ApproachesM. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy, C. Manjunath, B. E. Rangaswamy, M. Varsha, H. P. Vinutha. sncs, 3(5):377, 2022. [doi]

2021

2019

A comprehensive survey on non-photorealistic rendering and benchmark developments for image abstraction and stylizationM. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy, C. Manjunath. irjocs, 2(3):131-165, 2019. [doi]

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