Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
Abstract: Harmonic model predictive control (HMPC) is a recent model predictive control (MPC) formulation for tracking piece-wise constant references that includes a parameterized artificial harmonic ...
A SaaS app development team typically includes a product owner, UI/UX designers, frontend and backend developers, DevOps engineers, and QA testers (depending on the scope, it might be enough to have ...
The study by researchers from Jiangxi’s universities introduces hybrid machine learning models optimized with Artificial ...
Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
Elon Musk’s electric car company said the new versions would start at around $37,000 and $40,000, prices that bring its cars closer to comparable gasoline vehicles. By Jack Ewing Tesla on Tuesday ...
Abstract: This paper proposes a model predictive control method based on a dynamic event-triggered strategy for high-precision formation control of spacecraft formations using continuous low thrust.
This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
In this paper, the performance of a shunt active power filter using direct power control based on the hysteresis method and model predictive control is discussed. Furthermore, an optimized vector ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
1 Country State Grid Fujian Electric Power Co., Ltd., Fuzhou, China 2 Putian Electric Power Supply Company of State Grid Fujian Electric Power Co., Ltd., Putian, China Conventional model-based ...