EurekAlert!

Novel method identifies critical lines in renewable-dominant hybrid AC/DC power systems

Curious about how to secure renewable-dominant power systems? A team from Shandong University developed a method combining GBDT and FP-Growth algorithms. It quickly assesses cascading failure risks, ...
Devdiscourse

AI and machine learning drive digital transformation across global mining operations

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
IEEE

Soft Gradient Boosting with Learnable Feature Transforms for Sequential Regression

Abstract: We propose a soft gradient boosting framework for sequential regression that embeds a learnable linear feature transform within the boosting procedure. At each boosting iteration, we train a ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Devdiscourse

Advanced AI model pushes aviation toward data-driven decarbonization

Researchers have developed an advanced artificial intelligence (AI) framework designed to significantly improve the forecasting of carbon dioxide emissions in the aviation sector. ACGRIME is an ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
BMJ

Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Please provide your email address to receive an email when new articles are posted on . Early detection and treatment of sepsis can improve outcomes for children. A team of physicians and computer ...
Scientific Research Publishing

Ke, G., et al. (2017) LightGBM: A highly efficient Gradient Boosting Decision Tree. Conference on Neural Information Processing Systems, Long Beach, 4-9 December 2017, 3146-3154.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
The New York Times

Google’s Quantum Computer Makes a Big Technical Leap

Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as software written for a traditional supercomputer. A quantum computer at ...
Hosted on MSN

AI May Help Predict Which Kids Seen in ED Will Develop Sepsis

THURSDAY, Oct. 16, 2025 (HealthDay News) -- Artificial intelligence can help predict which children in the emergency department will develop sepsis within 48 hours, according to a study published ...