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Anomaly detection of energy consumption in buildings: A review, current trends and new perspectives., , , and . CoRR, (2020)Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations., , , , , , and . IEEE Access, (2020)HD number plate localization and character segmentation on the Zynq heterogeneous SoC., , , , , , and . J. Real Time Image Process., 16 (6): 2351-2365 (2019)A survey on system level energy optimisation for MPSoCs in IoT and consumer electronics., , , , , , , , , and . Comput. Sci. Rev., (2021)Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions., , , , and . Int. J. Intell. Syst., 37 (10): 7124-7179 (2022)Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments., , , and . BDIoT, volume 489 of Lecture Notes in Networks and Systems, page 179-193. Springer, (2021)Transfer learning from T1-weighted to T2-weighted Magnetic resonance sequences for brain image segmentation., , , and . CAAI Trans. Intell. Technol., 9 (1): 26-39 (February 2024)A multi-sensing reconfigurable platform for gas applications., , , , , , , , , and . ICM, page 148-151. IEEE, (2014)Gas identification in electronic nose by using similarity measure between latency patterns., , , and . ICM, page 200-203. IEEE, (2014)Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations., , , , and . Inf. Fusion, (2020)