Communications of the ACM

Where Are the City Trees? Monitoring Urban Trees across the U.S. Using Generative AI

Urban trees are critically important to mitigate poor air quality, excessive heat islands, and unmoderated rainwater overflow ...
Morning Overview on MSN

AI foundation models trained on DNA could speed up plant research

A wave of AI foundation models built on plant DNA sequences is giving researchers new tools to annotate genomes, predict gene ...

We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations

Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models ...
IEEE

A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles

Abstract: The rapid advancement of communication is introducing a new era for the Internet of Vehicles (IoV) in the context of Smart Cities. Although these technologies provide unparalleled ...
Hosted on MSN

Tree grafting machine restoration

Trump gives Iran 48-hour ultimatum to reopen Strait of Hormuz or face strikes on power plants ABC's 'Bachelorette' cancellation adds to franchise's long history of controversy GMC once made a muscle ...
AZ Central

Is Dollar Tree quietly raising prices? What you should know

Dollar Tree is expanding its assortment to include items at a variety of price points beyond its $1.25 base. Not all stores have the same prices, as the company is rolling out different store formats ...
The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
Frontiers

Explainable machine learning model for predicting the outcome of acute ischemic stroke after intravenous thrombolysis

Acute ischemic stroke (AIS) patients often experience poor functional outcomes post-intravenous thrombolysis (IVT). Novel computational methods leveraging machine learning (ML) architectures ...
BMJ

Development and validation of a machine learning-based prediction model for frailty in older adults with diabetes: a study protocol for a retrospective cohort study

Introduction Frailty is a common condition in older adults with diabetes, which significantly increases the risk of adverse health outcomes. Early identification of frailty in this population is ...
IEEE

Hybrid Tree-Based Machine Learning Models for State-of-Charge and Core Temperature Estimation in EV Batteries

Abstract: Accurate estimation of State-of-Charge (SoC) and core temperature is fundamental to optimizing the performance, safety, and longevity of Lithium-Ion Batteries (LiBs), particularly in ...