Energy and Buildings
(f-a) IoT Task Management Mechanism Based on Predictive Optimization for Efficient Energy Consumption in Smart Residential Buildings
AIPSCOM Convergence Laboratory research is based on four research and development areas: Soft Computing, Blockchain, AI, and IoT: the core technologies that will inevitably lead the 4th Industrial Revolution. We are currently conducting diverse research projects, ranging from smart healthcare, security and intrusion detection, smart cities, convergence standards for IoT platforms, intelligent software development, and convergence applications of IoT, blockchain, and machine learning for real-life Interdeciplarly research applications..
More Details(f-a) IoT Task Management Mechanism Based on Predictive Optimization for Efficient Energy Consumption in Smart Residential Buildings
An optimized ensemble prediction model using AutoML based on soft voting classifier for network intrusion detectio.
Motivated individuals aspiring to gain hands-on experience in academic research are encouraged to apply. The programme is tailored for Bachelor's students and (Research) Master's students in physcial space of the SCIEKORE Institute.Exceptional students can avail opportunity as remote research trainee.
Applications for the Research Traineeship 2024 are open until Sunday, 03 December 2023, providing an excellent opportunity for eager students to contribute to cutting-edge research initiatives.