Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Abstract: Hydraulic systems serve as a pivotal component in modern industrial settings, where leakage faults significantly impact the system's safety and operational efficiency. This paper introduces ...

This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...

Abstract: To address the issues of slow convergence and low exploration efficiency in traditional Q-learning, this paper proposes a path planning algorithm based on support vector machine (SVM) ...

This study examines an important question regarding the developmental trajectory of neural mechanisms supporting facial expression processing. Leveraging a rare intracranial EEG (iEEG) dataset ...