From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Abstract: Electroluminescence (EL) imaging is the most widely used diagnostic technique for identifying flaws at every stage of the production, installation, and operation of solar modules. This ...

Abstract: Accurate identification and classification of agricultural fields is essential for analyzing crop growth, agricultural resource management, and supporting decision-making in precision ...