hybrid-machine-learning

Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in Atmospheric Science)

Patients can enter their symptoms and relevant health data (like heart rate, blood pressure, etc.) into the frontend interface. The model can analyze this data instantly and provide immediate feedback on their heart health status. After analyzing patient data, the system can offer personalized lifestyle recommendations.

Comparative study of Variational Quantum Classifiers and MLPs on synthetic datasets with metrics, decision boundaries, and AUC analysis

Hybrid-machine-learning

Gradient-based analysis of barren plateaus in variational quantum classifiers with VQC, hybrid VQC, MLP baselines, and ansatz diagnostics

A quantum-powered web application for detecting cataracts in eye images using a hybrid quantum-classical machine learning model.

Lagrangian & Gaussian plume dispersion models for nuclear catastrophes, with a deep‑learning surrogate for real‑time deposition forecasting.

A study of barren plateau mitigation techniques for variational quantum circuits applied to volatility forecasting of highly liquid financial assets, with comparative evaluation of optimization stability, convergence, and predictive performance.

Combination of Linear Regression and Random Forest model using Weighted Averaging method to capture linear and non-linear features of the dataset