IEEE

An Experimental Model to Predict Bone Cancer Disease by Using Hybrid Learning Principles with Image Processing Technique

Abstract: Bone cancer is a rare but aggressive disease that requires early and accurate detection to ensure better outcomes for patients. This paper presents a novel approach for predicting bone ...
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 ...
Medical Xpress

AI model may predict when MND patients need feeding tubes within months

A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life for people living with Motor Neuron Disease (MND). The new tool, developed ...