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Supercapacitor leakage in energy-harvesting sensor nodes: Fact or fiction?, and . INSS, page 1-5. IEEE, (2012)Design and implementation of an adaptive learning system: An MSc project experience., , , and . EWME, page 1-6. IEEE, (2016)Empirical evaluation of OI-MAC: Direct interconnection between wireless sensor networks for collaborative monitoring., , , and . SAS, page 1-5. IEEE, (2015)Data-driven low-complexity nitrate loss model utilizing sensor information - Towards collaborative farm management with wireless sensor networks., , , and . SAS, page 1-6. IEEE, (2015)Enabling opportunistic energy trading between overlapping energy harvesting wireless sensor networks., , and . ENSsys@SenSys, page 25-30. ACM, (2014)Energy-neutral solar-powered street lighting with predictive and adaptive behaviour., , , and . ENSsys@SenSys, page 13-18. ACM, (2014)Accurate Supercapacitor Modeling for Energy Harvesting Wireless Sensor Nodes., , , and . IEEE Trans. Circuits Syst. II Express Briefs, 58-II (12): 911-915 (2011)Poster: Solar-Powered Adaptive Street Lighting Evaluated with Real Traffic and Sunlight Data., , , and . SenSys, page 405-406. ACM, (2015)Momentum: Power-neutral Performance Scaling with Intrinsic MPPT for Energy Harvesting Computing Systems., , , , , and . ACM Trans. Embed. Comput. Syst., 17 (6): 93:1-93:25 (2019)An Empirical Energy Model for Supercapacitor Powered Wireless Sensor Nodes., , , , , and . ICCCN, page 81-86. IEEE, (2008)