Development of hybrid ANFIS-GAN-XGBOOST models for accurate prediction of material removal rates from PCB-polluted concrete surfaces using laser technology for sustainable energy generation

•Hybrid machine learning predicts material removal rates from PCB-polluted concrete surfaces.•ANFIS-GAN-XGBoost model accurately predicts ablation depth for laser-based decontamination.•Laser technology can effectively remove pollutants for sustainable energy generation.•Study investigates how substrate composition affects ablation rates and processes.•Advanced machine learning models, like ANFIS-GAN-XGBoost, can aid environmental cleanup.