3 papers
stat.ME2026
Bivariate inverse Gaussian degradation processes with shared random effects and an application to fatigue cracks
Yuvraj Dutta, Sandip Barui, Debanjan Mitra +1
The inverse Gaussian (IG) process is a widely used model for univariate degradation data. For bivariate degradation data involving two performance characteristics (PCs), dependence…
cs.CV2025
Federated Learning for Deforestation Detection: A Distributed Approach with Satellite Imagery
Yuvraj Dutta, Aaditya Sikder, Basabdatta Palit
Accurate identification of deforestation from satellite images is essential in order to understand the geographical situation of an area. This paper introduces a new distributed ap…
cs.DC2025
Benchmarking Federated Learning for Throughput Prediction in 5G Live Streaming Applications
Yuvraj Dutta, Soumyajit Chatterjee, Sandip Chakraborty +1
Accurate and adaptive network throughput prediction is essential for latency-sensitive and bandwidth-intensive applications in 5G and emerging 6G networks. However, most existing m…