An international team of researchers has unveiled a spacecraft attitude control system that can guarantee precise ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Expectation optimizes perception through center-surround inhibition, enhancing expected representations while suppressing similar, irrelevant ones.

Abstract: Low-light image enhancement is of interest in many practical applications, such as low-light photography and video surveillance. Traditional methods, like histogram equalization-based ...

Abstract: The efficiency of photovoltaic (PV) systems significantly decreases under partial shading conditions (PSC), leading to challenges in accurately tracking the maximum power point (MPP). This ...

Simulate first/second-order transient responses, automatically estimate circuit parameters (R, L, C) from noisy measurements using curve-fitting + a small ML model, and provide a Streamlit demo + ...

A web-based simulation platform designed to assess job candidates using Artificial Neural Networks (ANN) and Classification and Regression Tree (CART) algorithms. Built with Flask, this system ...