4 papers · 1 filter
Robust and Personalized Federated Learning for Aircraft-Engine Prognostics under Benign and Adversarial Client Heterogeneity
Chinmoy Mitra, Md. Mehedi Hasan Nipu, Mohammad Sakib Mahmood +2
Federated learning (FL) enables aircraft fleet operators to jointly train remaining-useful-life (RUL) models from engine sensor telemetry without sharing raw data. This study exami…
Uncovering Latent Patterns in Social Media Usage and Mental Health: A Clustering-Based Approach Using Unsupervised Machine Learning
Md All Shahria, Sanjeda Dewan Mithila, Touhid Alam +2
The widespread adoption of social media has heightened interest in its psychological effects, particularly on mental health indicators such as anxiety, depression, loneliness, and…
BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment
Md. Ashiq Ul Islam Sajid, Mohammad Sakib Mahmood, Md. Tareq Hasan +3
The deployment of intelligent reinforcement learning (RL) agents on resource-constrained edge devices remains a fundamental challenge due to the substantial memory, computational,…
An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks
Syed Rayhan Masud, SK Muktadir Hossain, Md. Ridoy Sarkar +3
Agriculture is increasingly challenged by climate change, soil degradation, and resource depletion, and hence requires advanced data-driven crop classification and recommendation s…