A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...
Abstract: Artificial intelligence-based machine learning models have been widely used to explore and address various mental health-related problems in recent years, including depression. In this study ...
Abstract: This paper focuses on automating the analysis of financial news for stocks and cryptocurrencies, thereby providing traders and analysts with actionable insights. In today's fast-paced ...
A marriage of formal methods and LLMs seeks to harness the strengths of both.
This study proposes the FCM-RF-SMOTE framework to resolve the issue of data imbalance in real-time freeway traffic state classification. The framework integrates Fuzzy C-Means (FCM), Random Forest (RF ...
ABSTRACT: This article has two objectives. The first is to develop an R script that performs Mardia’s K2 test for assessing multivariate normality (MVN), using both its original asymptotic formulation ...
Out-of-bag (OOB) importance analysis was applied to extract feature variables. The nonlinear model random forest (RF) outperforms the linear model for soil water content retrieval. The coupled OOB and ...
alpha-lib is a Python library that implements various algorithms and functions commonly used in quantitative finance and algorithmic trading. For financial data analysis, there are many algorithms ...
The appointment of Sarah Mullally as the first female Archbishop of Canterbury is an “immense step”, said Alastair Bruce on Sky News. But as the Church of England takes a new direction, critics have ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results