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Adrian Iosif

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Open access Aug 2026

COMPARATIVE ASSESSMENT OF RANDOM FOREST, XGBOOST AND MLP MODELS FOR PREDICTIVE GREENHOUSE CONTROL USING WIRELESS SENSOR NETWORK DATA

Control of greenhouse microclimate requires the interpretation of several environmental and substrate-related parameters, including air temperature, relative humidity, light intensity, carbon dioxide concentration and soil moisture. This paper compares three machine learning models, Random Forest, Extreme Gradient Boos...

Mihai-Gabriel Matache, Carmen Bălțatu, D. Sacaleanu et al. · 0 citations
Open access Jul 2026

An Analog Frequency-Domain Systolic Array for Energy-Efficient AI Acceleration at the Edge

The results indicate that exploiting the inherent parallelism of analog computation offers a promising pathway toward ultra-low-power AI inference, making the proposed architecture a potential alternative for energy-constrained edge applications.

Andrei Iliescu, O. N. Ionescu, Adrian Iosif · 0 citations

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