Energy Efficiency, Environmental Monitoring, Smart Cities, Energy Consumption, Clustering Techniques, Duty Cycling, Data Condensation, Machine Learning (ML), Reinforcement Learning (RL), Supervised ...

Apart from that, we integrate the prior knowledge into existing data to construct a more powerful approximation algorithm and enrich the prediction capability to accommodate the dynamic environment.

Decision-making during the early stages of research and development (R&D) should be informed by both economic and ecological perspectives. While early stage cost assessments are well established, life ...

The paper collects, analyzes, and processes student psychological assessment data, applies Apriori algorithm to study the impact of psychological problems, analyzes the correlation rules between ...