Tech Xplore

Machine learning helps robots see clearly in total darkness using infrared

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
Oncology Nurse Advisor

Machine Learning Model Predicts Nutritional Risk in Nasopharyngeal Carcinoma

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
AZoLifeSciences on MSN

Machine learning models identify early metabolic shifts

Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to ...

Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
pv magazine International

PV inverter output and anomalies predicted without environmental sensors

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
Opinion

First year reflections, vision for the year ahead | Opinion

President Trump, Defense Secretary Pete Hegseth and Secretary of the Navy John Phelan are making a shipbuilding announcement from the president's Mar-a-Lago estate in Florida on Monday, according to a ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Cyber Defense Magazine

EU Cyber Resilience Act: Key Steps, Compliance Challenges, And Practical Guidance

Executive Summary This report summarizes an in-depth explanation of the new EU regulation Cyber Resilience Act (CRA), which is intended to enhance the ...
IEEE

Data-Driven and Physics-Assisted Machine Learning Approach for Warpage Classification and Process Parameter Optimization in a 3-D-Printed BeltClip

Abstract: 3-D printing, or additive manufacturing (AM), leverages 3-D computer-aided design models and numerical control to produce objects layer-by-layer, playing a key role in Industry 4.0 and ...

Global measures consistently underestimate food insecurity: 1 in 5 who suffer from hunger may go uncounted

International humanitarian aid organizations rely on analyses from the Integrated Food Security Phase Classification (IPC) ...
EurekAlert!

New artificial intelligence tool shows promise in accurately diagnosing brain tumors without surgery

Researchers at Thomas Jefferson University have developed a groundbreaking automated machine learning (AutoML) model that can accurately differentiate between two common types of brain tumors using ...
IEEE

LASSO-mCGA: Machine Learning and Modified Compact Genetic Algorithm-Based Biomarker Selection for Breast Cancer Subtype Classification

Abstract: Breast cancer is the most common cancer type among females and is one of the leading causes of death worldwide. Being a heterogeneous disease, subtyping breast cancer plays a vital role in ...