IEEE

A Q-Learning-Based Particle Swarm Optimization for Aircraft Routing and Scheduling in Airport Terminal Area

Abstract: As the airport terminal area becomes progressively crowded, costly delays and adverse environmental impact due to excessive fuel burn require effective aircraft routing and scheduling in the ...
IEEE

Model-Based Particle Swarm Optimization Filtering Algorithm for Mecanum Wheel Car Parameter Identification With Measurement Noise

Abstract: The Mecanum wheel car (MWC) is increasingly becoming the mainstream automated guided vehicle (AGV) in factory automation, replacing traditional transport vehicles due to its flexibility and ...
marktechpost

A Complete End-to-End Coding Guide to MLflow Experiment Tracking, Hyperparameter Optimization, Model Evaluation, and Live Model Deployment

In this tutorial, we build a complete, production-grade ML experimentation and deployment workflow using MLflow. We start by launching a dedicated MLflow Tracking Server with a structured backend and ...
marktechpost

How to Design an Agentic Workflow for Tool-Driven Route Optimization with Deterministic Computation and Structured Outputs

In this tutorial, we build a production-style Route Optimizer Agent for a logistics dispatch center using the latest LangChain agent APIs. We design a tool-driven workflow in which the agent reliably ...
GitHub

AI Engine-ML Programming

IMPORTANT: Before you begin this tutorial, install the Vitis 2025.2 software. This release includes all embedded base platforms, including the VEK280 base platform used in this tutorial. Also download ...
GitHub

Hugging Face Optimum FX Graph Optimization

This workflow optimizes PyTorch models by rewriting their computation graphs. Instead of changing the model's source code, it operates on a symbolic representation of the model's forward pass (an FX ...