IEEE

Multilevel Spatial–Temporal Joint Large Language Model for Traffic Prediction in Symbiotic IoT

Abstract: The Symbiotic Internet of Things (IoT) represents a collaborative framework wherein edge devices and AI models coordinate resource utilization and interact via 6G connectivity to optimize ...
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 ...
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 ...
Benzinga.com

CFTC Chairman Selig: 'Prediction Markets Provide Useful Functions For Society'

In a video statement released on his X account this morning, CFTC Chairman Mike Selig said that American prediction markets have been hit with an “onslaught of state-led litigation” over the past year ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...