Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
financefeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Frontiers

Integrating meteorological and breeding data to predict maize yields using machine learning algorithms

Accurate crop yield prediction is vital for ensuring global food security, particularly amid growing environmental challenges such as climate change. Although deep learning (DL) methods have shown ...
Visual Studio Magazine

Predicting the Future Using Azure Machine Learning

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Frontiers

Quantum key distribution through quantum machine learning: a research review

Quantum cryptography has emerged as a radical research field aimed at mitigating various security threats in modern communication systems. The integration of Quantum Machine Learning (QML) protocols ...
IEEE

Performance comparison of machine learning algorithms for coronary heart disease prediction

Abstract: The algorithms used in these machine learning models are quite straightforward and easy to understand, and they may produce predictions. These models have numerous business and scientific ...
IEEE

Machine Learning Algorithms for Classifying Abscessed and Impacted Tooth: Comparison Study

Abstract: This paper presents a comparative study of machine learning algorithms for classifying normal, abscessed, and impacted tooth based on periapical radiograph images. Those methods are Logistic ...