Sekharamantry, Praveen Kumar
Sekharamantry, Praveen Kumar
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Risultati 1 - 5 di 5 (tempo di esecuzione: 0.012 secondi).
A Seamless Deep Learning Approach for Apple Detection, Depth Estimation, and Tracking Using YOLO Models Enhanced by Multi-Head Attention Mechanism
2024-01-01 Sekharamantry, Praveen Kumar; Melgani, Farid; Malacarne, Jonni; Ricci, Riccardo; de Almeida Silva, Rodrigo; Marcato Junior, Jose
Deep Learning-Based Apple Detection with Attention Module and Improved Loss Function in YOLO
2023-01-01 Sekharamantry, P. K; Melgani, F; Malacarne, J
Development of an Efficient Method to Blend Forest Biomass with Agricultural Residue to Produce Fuel Pellets with Improved Mechanical Properties
2024-01-01 Kumar, Praveen; Fiori, Luca; Subbarao, P. M. V.; Vijay, V. K.
NFlowAD: A normalizing flow model for anomaly detection in human motion animations
2026-01-01 Choueb, Mahamat Issa; Sekharamantry, Praveen Kumar; Martinelli, Giulia; De Natale, Francesco; Conci, Nicola
Robust Alzheimer’s Patient Detection and Tracking for Room Entry Monitoring Using YOLOv8 and Cross Product Analysis
2025-01-01 Sekharamantry, P. K.; Melgani, F.; Delfiore, R.; Lusardi, S.