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The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency., , , , , , , and . Int. J. Intell. Syst., 36 (2): 656-680 (2021)Edge AI for Internet of Energy: Challenges and Perspectives., , , , and . CoRR, (2023)A High-Realism and Cost-Effective Training Simulator for Extracorporeal Membrane Oxygenation., , , and . IEEE Access, (2021)REHAB-C: Recommendations for Energy HABits Change., , , , , , , and . Future Gener. Comput. Syst., (2020)Boosting Domestic Energy Efficiency Through Accurate Consumption Data Collection., , , , , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 1468-1472. IEEE, (2019)Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional., , , , , , and . CoRR, (2020)Assessing Learning Outcomes in Extracorporeal Membrane Oxygenation Simulations With a Novel Simulator and Instructor Application., , , , and . IEEE Trans. Learn. Technol., 14 (5): 568-575 (2021)TIAViz: A Browser-based Visualization Tool for Computational Pathology Models., , , , , , , , , and 1 other author(s). CoRR, (2024)Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities., , , , , , , , and . CoRR, (2021)Creating 3D Gramian Angular Field Representations for Higher Performance Energy Data Classification., , , and . ICIP, page 3586-3590. IEEE, (2022)