Abstract: As technology and digitization grows, there is a huge surge in digital storage of health records. Machine learning has an important role in uncovering patterns existing in these health ...

Abstract: The ability to predict the radioactive soil radon gas concentration is important for human beings because it serves as a precursor to earthquakes. Several studies have been conducted across ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

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Revenue cycle management company Ensemble Health Partners landed a new investor. | Bloomberg reported earlier this month that ...

A comprehensive machine learning-based system for detecting fraudulent transactions in UPI (Unified Payments Interface) payment networks. This project combines advanced ML algorithms, real-time ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

The 2025 hurricane season was a coming-of-age story for AI weather models, which have been around in some capacity since ...

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