AoI-Driven IoT for Smart Grids
AoI-Driven IoT Fault Detection for Smart Grids Ensuring the reliability of modern electric distribution grids requires real-time monitoring systems that can detect faults quickly and …
Publication
IoT-Based HVAC Control
IoT-Based Multi-Speed HVAC Control: Simulation Results and Testbed Development Maintaining thermal comfort and indoor air quality while minimizing energy consumption is a key challenge in …
EnergyPlus-SAREF
Ontology-Driven Smart Building Semantics: An EnergyPlus-SAREF Approach The growing complexity of smart buildings and IoT ecosystems demands standardized and interoperable frameworks that can seamlessly integrate …
LoRaFRESH
Duty Cycle Compatible Fresh Data Transmission with LoRa Low Power Wide Area Networks (LPWANs) such as LoRaWAN are widely adopted in Internet of Things (IoT) …
MAML-RL for HVAC
Analysis of Model-Agnostic Meta-Reinforcement Learning on Automated HVAC Control Heating, Ventilation, and Air Conditioning (HVAC) systems consume nearly one-quarter of global building energy use, making …
MipMap Digital Twin
MipMap Digital Twin: A Scalable IoT-Based Framework for Smart Cities and Circular Economy As cities expand and infrastructures grow more complex, traditional management approaches often …
Deep Learning Waste Classification
Benchmarking Deep Learning Models For Automated Waste Classification Recycling is a cornerstone of sustainable development, yet traditional waste sorting methods remain manual, error-prone, and inefficient, …
LSTM-based HVAC Simulator
Accelerating Reinforcement Learning for HVAC Systems Using an LSTM-based Surrogate Simulator Heating, Ventilation, and Air Conditioning (HVAC) systems are among the largest contributors to global …
Material Characterization
Material Characterization Based on Capacitive and Dielectric Properties for Waste Recycling Modern recycling systems face major challenges due to improper waste separation and contamination, which …
RL for AoI
Optimizing Age of Information on Real-Life TCP/IP Connections through Reinforcement Learning In modern communication systems, especially within status update-driven applications such as industrial automation, environmental …