VECTOR INFORMATIK GMBH

Projekt → Feature Importance and Growth Rate Prediction in SiC PVT Processes through Advanced Machine Learning Models Silicon carbide is a key wide-bandgap semiconductor material for next-generation power electronics, yet the Physical Vapor Transp… Beitrag ansehen → Projekt → Machine Learning Framework with Posthoc Explainability for Predicting the Strength of Mechanochemically Activated Geopolymer Paste Abstract Geopolymers offer a low-carbon alternative to ordinary portland cement (OPC); yet their industrial adoption is hindered… Beitrag ansehen → Projekt → Geospatial- Artificial Neural Network Technique for Commercial Real Estate Investment Viability Appraisal in Ikeja, Lagos This study applies geospatial analytics as a component of a broader Geospatial Artificial Intelligence (GeoAI) framework for the… Beitrag ansehen → Projekt → Detecting and responding to attacks and weather effects in hybrid FSO/RF systems using the Dempster-Schaffer theory with AI algorithms In this paper, a new intelligent switch for hybridFree-Space Optical (FSO) RF communication is proposed forimproved reliability a… Beitrag ansehen → Projekt → Parameterized Multimodal Feature Fusion for Explainable Seizure Detection Using PCA and SHAP Multimodal epileptic seizure detection using physiological biosignals remains challenging due to signal noise, inter-subject vari… Beitrag ansehen → Projekt → Subject or Object? SINo-American competition and European sTRAtegic autonomy The intensifying great power competition between the United States and China has arguably become the structuring vector in intern… Beitrag ansehen →