Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...
Abstract: The course selection process in higher education has grown more complex as the students face the growing volume of academic options that must align with their personal and career goals. The ...
Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...
Spring-force modeling of a spinning and flipping T-handle in Python. Explore rotational dynamics, torque, and oscillations through clear simulations and physics-based code. #RotationalDynamics ...
Newer models are more prone to silent but deadly failure modes ...
A Model Context Protocol (MCP) implementation for Financial Modeling Prep, enabling AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights.
ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...