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Supervised Key Terms Clustering for Regulatory Monitoring.

, and . IEEE BigData, page 4352-4356. IEEE, (2019)

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Supervised Key Terms Clustering for Regulatory Monitoring., and . IEEE BigData, page 4352-4356. IEEE, (2019)SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses., , , , and . Neural Networks, (July 2023)HEFT: A hybrid system-level framework for enabling energy-efficient fault-tolerance in NoC based MPSoCs., and . CODES+ISSS, page 4:1-4:10. ACM, (2014)Visibility graph analysis for re-sampled time series from auto-regressive stochastic processes., , , , and . Commun. Nonlinear Sci. Numer. Simul., (2017)Activity flow under the manipulation of cognitive load and training., , , , , , , and . NeuroImage, (2024)Enhanced Connection Adaption Strategy With Partition Approach., , , , and . IEEE Access, (2019)Energy-Constrained Dynamic Resource Allocation in a Heterogeneous Computing Environment., , , , , , , , , and 1 other author(s). ICPP Workshops, page 298-307. IEEE Computer Society, (2011)A hierarchical model for the evaluation of biometric sample quality., , , and . ICPR, page 1-4. IEEE Computer Society, (2008)The effects of COVID-19 on Chinese commuting patterns in early 2020., , , , and . GEOINFO, page 317-322. MCTIC/INPE, (2022)Study on a Pipe Welding Robot based on Laser Vision Sensing., , , , , and . RAM, page 720-723. IEEE, (2008)