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Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners
Published 2018“…This increase is 82% less than the 11.3 increase seen in the baseline model. …”
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Reinforcement Learning Based EV Charging Management Systems–A Review
Published 2021“…The application of electric vehicles (EV) in the smart grid has shown a significant option to reduce carbon emission. …”
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HVAC system attack detection dataset
Published 2021“…<p dir="ltr">The importance of the security of building management systems (BMSs) has increased given the advances in the technologies used. …”
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Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring
Published 2024“…In this context, Deep Reinforcement Learning (DRL) emerges as a technological advancement that improves the healthcare by enabling smart, adaptive, and real-time decision-making processes. …”
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Cyber-Resilient Detection of Power Quality Events with NSCT and PCA-SVM
Published 2025“…<p dir="ltr">The increasing reliance on smart grids, coupled with the integration of renewable energy and growing cyber-physical interactions, has heightened the vulnerability of power systems to both power quality (PQ) disturbances and cyber-attacks. …”
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Evaluation of pretreatment and membrane configuration for pressure-retarded osmosis application to produced water from the petroleum industry
Published 2021“…PRO is typically considered with seawater/river water pairings however greater energy can be recovered from hypersaline solutions including produced water (PW) from the petroleum industry. …”
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Visitors off the trail: Impacts on the dominant plant, bryophyte and lichen species in alpine heath vegetation in sub-arctic Sweden
Published 2021“…With a greater decrease in taller forbs and shrubs than in graminoids and prostrate plants, a greater decrease in lichen than in bryophyte species, and a change in vegetation composition. …”
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Solar water heating in Lebanon
Published 2006“…Simplified initial estimates indicate a payback period of 4–5 years while advanced mathematical models (RETScreen) indicate that the most advanced evacuated tube technology has a payback period of less than 9 years at current market prices. With decreasing cost per square meter of installed collectors, payback periods are expected to rapidly decrease. …”
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Is board compensation excessive?
Published 2017“…Based on this, we then calculate whether directors of corporate boards are over- or undercompensated. On average, we find greater evidence of over- rather than undercompensation. …”
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