micheline24/enhanced_microdsc: enhanced microDSC codes

Enhanced MicroDSC v1.0.0 — Initial Release This is the first official release accompanying the paper: "Lightweight deep learning model for real-time acoustic bird pest detection on edge microcontrollers" Submitted to PeerJ Computer Science. Our model enables real-time bird pest detection on resource-constrained microcontrollers, providing an affordable precision agriculture solution for African smallholder farmers. Repository Structure experiments/ — Ablation studies and architecture comparison training/ — Complete model training pipeline and evaluation deployment/ — ESP32 Arduino implementation for real-time field deployment Model Performance Architecture: Enhanced MicroDSC (7,483 parameters) Accuracy: 97.4–98.6% across 10 bird species Inference Time: