Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
GATE Data Science & Artificial Intelligence (DA) Important Questions: GATE Data Science & Artificial Intelligence (DA) ...
Conclusions This study suggests that a decrease in positive leadership behaviours has a hazardous effect on workers’ level of ...
Background Although 90% of youth live in low- and middle-income countries, only 10% of child mental health research is ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
RideNow Group's high debt, weak sales, and unfavorable valuation multiples make the stock extremely risky, despite billion-dollar revenues. Recent results show declining new vehicle sales, shrinking ...
Abstract: This study proposes a predictive modeling approach using Multiple Linear Regression (MLR) to support faculty budget planning at KH. A. Wahab Hasbullah University by forecasting student ...
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