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 ...

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.

Lung capacity, also referred to as vital capacity, is a crucial biomarker for diagnosing lung function. In resource-limited environments, it is often necessary to estimate lung capacity through ...

Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint angles during reaching and grasping, implying a 'low-level' role in ...

Abstract: This study introduces a novel approach to spacecraft attitude control by employing Support Vector Regression (SVR) as the underlying data-driven controller. Given the inherent nonlinearity ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

EAGLE (Extrapolation Algorithm for Greater Language-model Efficiency) is a new baseline for fast decoding of Large Language Models (LLMs) with provable performance maintenance. This approach involves ...

This library lets you interact with almost any vehicles through the OBDII (On-Board Diagnostics II) port. Connect through an OBDII adapter via USB, Bluetooth, WiFi, or Ethernet to monitor sensors, ...