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 ...

Five principal factors were identified as significantly associated with DPN risk: age (OR = 1.257, 95% CI [1.188–1.367], p < 0.001), serum 25(OH)D3 levels (OR = 0.791, 95% CI [0.759–0.854], p < 0.001) ...

Abstract: This study evaluates the performance of using machine learning models; J48 and Random Forest to classify bananas quality. The existing methods of visual inspection are qualitative and take ...

If you’re like me and grew up playing The Forest before switching over to Roblox horror games like DOORS and Dead Rails, you probably raised an eyebrow when 99 Nights in the Forest claimed to be ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...

This is a Machine Learning model developed with "Decision Trees Algorithm" and "Random Forest Algorithm" to predict the turnover of HDFC bank with a given dataset of the previous turnovers and ...