Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Advanced machine learning projects offer a challenging and rewarding experience, allowing developers to apply theoretical concepts to real-world problems. One project idea is developing a Deep ...

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gridium/ ├── lessons/ # Educational materials │ ├── 01_pydantic_introduction.md │ └── 02_pydantic_best_practices.md ├── examples/ # Runnable code examples │ ├── 01_pydantic_introduction.py │ └── ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Introduction: Acute coronary syndrome (ACS) is a life-threatening emergency, with occlusion myocardial infarction (OMI) requiring rapid diagnosis and treatment. The 12-lead ECG remains the primary ...

Abstract: This project focuses on utilizing machine learning techniques to identify and detect abnormal cardiac conditions through the analysis of Electrocardiogram (ECG) signals. With cardiovascular ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Liver diseases present a significant global health challenge and often require costly, invasive ...

ECG-based machine learning offers a promising, interpretable approach for liver disease detection, particularly in resource-limited settings. By revealing clinically relevant biomarkers, this method ...