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Author

M. Zegrari

2 papers indexed here

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Oct 2026

From CO 2 Forecasting to Occupancy Inference: Performance Limits of LSTM Networks with Temporal Feature Engineering

Accurate forecasting of indoor environmental variables is essential for occupancy-aware building energy management, yet the interplay between neural network architecture, forecasting strategy, and downstream occupancy inference remains poorly understood. This study presents a comprehensive controlled evaluation frame...

Amine Maniar, M. Zegrari, M. Hamlich et al. · 0 citations
Open access Sep 2026

Comparative Study of Decision-Level Fusion Strategies for Multi-Sensor CNN-Based Bearing Fault Diagnosis

Bearing fault diagnosis increasingly relies on multiple sensors, since compound or multi-location faults can produce signatures that are only partially captured by a single sensor. The decision-level fusion (DLF) of independently trained models offers a practical way to combine such complementary information, yet syste...

Iman Makrouf, M. Zegrari, Khalid Dahi et al. · 0 citations

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