Journal of Environmental Sciences Study Reveals How Artificial Intelligence can Transform PM2.5 Monitoring

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
AHA/ASA Journals

Multistage Electrocardiographic Profiling for Mental Stress-Induced Myocardial Ischemia in Women: A Prospective, Age-Matched Cohort Study in China

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
IEEE

Handling Imbalance Data in Random Forest Classification Models for Diabetes Prediction

Abstract: Diabetes, a chronic disease marked by elevated blood glucose levels due to insufficient or ineffective insulin production, is a growing global health concern. Its prevalence has risen from 4 ...
Berkman Klein Center

The Trigger in the Haystack: Extracting and Reconstructing LLM Backdoor Triggers

Affiliate Ram Shankar Siva Kumar and coauthors "present a practical scanner for identifying sleeper agent-style backdoors in causal language models." ...
Risk.net

Demand deposit balance prediction models under the interest rate risk in the banking book guidelines: an empirical analysis integrating time-series models and machine learning ...

The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...
IEEE

Inorganic Chemical Reaction Predictor Using Random Forest and Support Vector Machine

Abstract: The Chemical Reaction Predictor project shall use machine learning approaches to make predictions on chemical reaction effects. When a large enough group of known reactions is available, ...
Tech Xplore

Smarter machine-learning models can improve phishing website detection

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...