IEEE

Channel Prediction Using Deep Recurrent Neural Network With EVT-Based Adaptive Quantile Loss Function

Abstract: Ultra-reliable low latency communication (URLLC) systems are pivotal for applications demanding high reliability and low latency, such as autonomous vehicles. In such contexts, channel ...
Frontiers

AI & Mechanistic Neuroscience: Hybrid Models Beyond Prediction

The intersection of artificial intelligence and mechanistic neuroscience is rapidly transforming our understanding of neural systems. While AI ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
IEEE

A Self-Supervised Framework for Multi-Function Radar Signal Sequence Prediction

Abstract: Predicting multi-function radar (MFR) signal sequences is essential for radar signal analysis. Traditional methods often face challenges due to noise and outliers in intercepted signal ...
GitHub

STAR: Similarity-guided Teacher-Assisted Refinement for Super-Tiny Function Calling Models

This repository contains the code and instructions necessary to reproduce the experiments presented in the paper: "STAR: Similarity-guided Teacher-Assisted Refinement for Super-Tiny Function Calling ...