AI Driven IoT Based Decision Making

By leveraging AI algorithms, IoT devices can gather vast amounts of data from their environments in real time, analyzing trends and patterns to support informed decision-making. For instance, in smart manufacturing, IoT sensors monitor equipment performance, while AI analyzes this data to predict potential failures and optimize maintenance schedules, ultimately reducing downtime and operational costs. KSK Approach is studied for Agriculture, Medical Applications, Robotics.

Autorentext

IR. Dr. Kazi Kutubuddin Sayyad Liyakat ha completado su B.E., M.E., Ph.D. en Ingeniería E&TC y Post Doctorado en "IoT in Healthcare Applications", y actualmente trabaja como Profesor y Jefe de Departamento, Departamento de Ingeniería E&TC y fue Decano R&D. Ha propuesto los enfoques KSK, KSK1, DL, KK y KVS en el campo de la tecnología.