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 ...

Abstract: This brief presents the application of perimeter-gated single-photon avalanche diodes (pg-SPADs) as true random number generators (TRNGs). Typical SPADs have been used as random number ...

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

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

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, ...

Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

A Verifiable Random Function (VRF) is the public-key version of a keyed cryptographic hash, and are useful for preventing enumeration of hash-based data structures. Only the holder of the private key ...

Abstract: True random number generator (TRNG) and physical unclonable function (PUF) have been extensively used to secure low-cost Internet of Things (IoT) endpoints. In this paper, a lightweight ...