The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, ...
Radio World

A Class on Predicting FM Radio Signals

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
The Lancet

Prevalence estimates of sickle cell disease among children and adolescents in sub-Saharan Africa: a systematic review and modelling analysis

Despite data gaps in many countries, the burden of sickle cell disease, especially in west and central Africa, underscores the urgent need to scale up newborn and early childhood screening, ...
IEEE

SM-NMPC: Sliding Mode-Based Nonlinear Model Predictive Control for UAVs Under Degraded Motor on Microcontrollers

Abstract: This paper presents a novel Sliding Mode-Based Nonlinear Model Predictive Control (SM-NMPC) for controlling Unmanned Aerial Vehicles (UAVs) such as Quadrotors and a 10-propeller drone ...
GitHub

The simplest, fastest repository for training/finetuning small-sized VLMs

We have written a tutorial on nanoVLM which will guide you through the repository and help you get started in no time. Note We have pushed some more breaking changes on September 9, 2025. These are ...
IEEE

Adaptive Neural-Network-Based Nonlinear Model Predictive Control for Quadrotor Formation Trajectory Tracking

Abstract: This paper presents a new method for the accurate formation trajectory tracking of quadrotor unmanned aerial vehicles (UAVs) in the presence of unknown external disturbances. By integrating ...