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Abstract: Heterogeneous Graph Neural Networks (HGNNs) are powerful tools for deep learning on heterogeneous graphs. Typical HGNNs require repetitive message passing during training, limiting ...

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

IBM’s ( IBM) Software and Chief Commercial Officer, Rob Thomas, wrote in a Monday blog post that translating COBOL code isn’t equivalent to modernizing enterprise systems, emphasizing that platform ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Simplify complex concepts with electric field problems made easy using Python and vectors! ⚡ In this video, we demonstrate step-by-step how to calculate electric fields, visualize vector directions, ...

Learn how to visualize the electric field of a charged rod using Python! 🐍⚡ This step-by-step tutorial shows you how to simulate and plot electric field vectors, helping you understand the concepts ...

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

Komprise, the leader in analytics-driven unstructured data management, today announces Komprise AI Preparation & Process Automation (KAPPA) data services, a first-of-its-kind serverless compute ...

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, ...