IEEE

Naïve Bayes Approach for Word Sense Disambiguation System With a Focus on Parts-of-Speech Ambiguity Resolution

Abstract: Natural languages are written and spoken languages, and NLP (Natural Language Processing) is the ability of a computer program to recognize both written and spoken languages. Word Sense ...
IEEE

Joint Sparse Bayesian Learning for Channel Estimation in ISAC

Abstract: In this letter, we investigate channel estimation in integrated sensing and communication and propose a joint sparse Bayesian learning (JSBL) algorithm for the estimation of sensing and ...
GitHub

End-to-End Deep Learning for TDD MIMO Systems in the 6G Upper Midbands

A complete PyTorch implementation of end-to-end neural network-based precoding for multi-user MIMO systems, with comprehensive baseline comparisons and realistic channel estimation.
National Bureau of Economic Research

Unconditional Cash Transfers: A Bayesian Meta-Analysis of Randomized Evaluations in Low and Middle Income Countries

We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we ...