digital-twin-application

Multi-Criteria Decision Making (MCDM) Framework for Building Energy Systems with Expedited Computation using Machine Learning (ML) Techniques

A closed-loop digital twin for enzymatic hydrolysis of fishery processing residues: physics-based kinetics (ODE), a bioactivity ranker (ORAC), and an energy-based active-learning optimizer that proposes the next experiments while a physical lab campaign runs.

Proof of Concept codebase for Science Tokyo & Politecnico di Milano Joint Work on Network Digital Twins

A systematic literature review on digital twins in cybersecurity domain

A mixed reality Digital Twin app focus on providing creative solutions for robot monitoring and optimization

Otwin is an open-source physics engine for Engineering sytems

The Digital Twin Toolkit is a Python framework for the book ‘Digital Twin Guide’. It provides a cohesive, well-designed, and simple example to help readers understand and implement digital twin concepts in various domains using AI as a cornerstone. The project is organized into multiple threads

Digital twin architecture concept demo with 3D navigation, telemetry simulation, and drill-down inspection.

Amsterdam digital twin a real-time 3D visualization system that shows live transit data in Amsterdam, alongside simulated company vehicles.

Mixed Cloud Control Testbed

MEC202 Course Project, XJTLU

Glimepiride Web Application

MATLAB/Simulink implementation of a Digital Twin for a lab-scale process. Built for academic/educational use, focusing on grey-box vs. black-box identification.

A Digital Twin framework that allows connecting UML models to physical devices to perform analysis and validation tasks.

A lightweight OWL ontology for longitudinal multimodal archives, linking persistent entities and records across time, generations, lifecycle stages, versions, and media formats such as text, images, audio, video, and digital models.

AI-driven valuation and assessment application within the Zweichain ecosystem

Mechanistic digital twin for CRC molecular subtyping (CMS1-4) via Hopfield attractor dynamics — RT-qPCR-only panel, calibrated against real cohorts.

Sensor-free mango orchard digital twin using weather, soil, Sentinel-2, FAO-56 water balance, and forecast-aware irrigation advisory.

UR3 robot control via RTDE communication with visualization in Three.js

FluxStation is a high-performance Industrial IoT platform that bridges the gap between mechanical hardware and software intelligence. It transforms raw sensor data from physical machinery into a 3D Digital Twin, using Python-driven analytics to predict mechanical failures before they occur.