Abstract: Operational frequency selection is a critical spot for ensuring high-frequency (HF) communication’s optimal quality, thus accurate prediction of usable frequency is essential to HF ...

Aviator Predictor is a cutting-edge software application designed to provide predictive insights for the Aviator crash game. This Aviator Predictor tool uses statistical modeling, machine learning, ...

Increasingly, these systems use algorithm-based relapse prediction. Hence, understanding stakeholder views about algorithmic prediction is crucial. Existing qualitative work has explored health ...

Abstract: 3-D nand flash memory has attacked widespread attention due to its fast speed, high endurance, and strong reliability. However, its reliability decreases as program and erase time increases.

A study was conducted to determine the diagnostic performance of AI ECG interpretation for diagnosing STEMI. Artificial intelligence-based algorithms that utilize electrocardiogram data demonstrate ...

Net income is a key financial indicator that reflects the actual performance of the banking sector and its ability to achieve long-term profitability and sustainability. According to World Bank ...

Cardiologists often struggle to assess heart attack risk. New startups using AI could help. For all the modern marvels of cardiology, we struggle to predict who will have a heart attack. Many people ...

Tutorial platform has launched Learn Platform, Web3 domains, and gaming integration. TUT price analysis is bullish with RSI at 54.63 and strong volume. Binance spotlight boosts visibility but niche ...

ABSTRACT: Stock markets are notoriously complex and volatile, which makes accurate price prediction a necessity for investor decision-making, risk mitigation, and profitability. This study develops ...

This study evaluates the predictive performance of traditional and machine learning-based models in forecasting NFL team winning percentages over a 21-season dataset (2003–2023). Specifically, we ...