Panja, M.[Madhurima]
* 2025: Skew-probabilistic neural networks for learning from imbalanced data
Panjaitan, J.P.[James P.]
* 2021: Shallow-Water Benthic Habitat Mapping Using Drone with Object Based Image Analyses
Panjala, P.[Pranay]
* 2022: Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri-Planning
* 2024: Spatial Distribution of Cropping Systems in South Asia Using Time-Series Satellite Data Enriched with Ground Data
Panjan, S.[Sarut]
* 2018: 4 DOF Exoskeleton Robotic Arm System for Rehabilitation and Training
Panjappagounder Rajamanickam, K.[Karthikeyan]
* 2019: Entropy Based Illumination-Invariant Foreground Detection
Includes: Panjappagounder Rajamanickam, K.[Karthikeyan] Panjappagounder-Rajamanickam, K.[Karthikeyan]
Panjiyar, S.[Suchit]
* 2017: Riemannian Framework for Linear and Quadratic Discriminant Analysis on the Tangent Space of Shapes, A
Panjvani, K.[Karim]
* 2023: Plant Root Occlusion Inpainting with Generative Adversarial Network
Panjwani, D.K.
* 1993: Unsupervised Segmentation of Textured Color Images Using Markov Random Field Models
* 1994: Selecting Neighbors in Random Field Models for Color Images
* 1995: Erratta for Rotated Figures
* 1995: Markov Random-Field Models for Unsupervised Segmentation of Textured Color Images
* 1995: Results Using Random Field Models for the Segmentation of Color Images
Includes: Panjwani, D.K. Panjwani, D.K.[Dileep K.]
Panjwani, N.[Neil]
* 2023: Adaptive Region-Specific Loss for Improved Medical Image Segmentation