IEEE

Data-Driven Model Predictive Control for Trajectory Tracking in UAV-Manipulator Systems

Abstract: This work presents the design and implementation of a data-driven Nonlinear Model Predictive Control (NMPC) framework for an Uncrewed Aerial Vehicle (UAV) equipped with a 3-DOF robotic arm.
IEEE

Data-Driven Policy Making Framework Utilizing TOWS Analysis

Abstract: In the era of hyper-uncertainty, the demand for data-driven policy making has grown significantly, as it enables the fast and accurate capture of complex phenomena. This contrasts with ...
Frontiers

Editorial: Data-driven vaccine design for microbial-associated diseases

Vaccinology is rapidly evolving, driven by the convergence of genomics, immunoinformatics, and artificial intelligence (AI). As infectious diseases continue to challenge global health whether through ...
Frontiers

A robust deep learning framework for predicting carbon dioxide-water alternating gas injection performance and optimization

Figure 1. Schematic diagram of CO 2-WAG technique and CCUS aims. Table 3. CO 2-WAG parameters range. The script then automatically runs numerical simulations number-by-number using the created data ...