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Author

Ibtissam Amalou

ORCID: 0009-0002-3633-0143
Observed ORCID: 0009-0002-3633-0143
OpenAlex ID: A5063636597
Multivariate time series prediction by RNN architectures for energy consumption forecasting
2022 · Ibtissam Amalou, Naoual Mouhni, et al. · Energy Reports · 239
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Federated Learning for Medical Imaging: An Updated State of the Art
2022 · Naoual Mouhni, Abderrafiaa Elkalay, et al. · Ingénierie des systèmes d information · 20
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CNN-LSTM architectures for non-stationary time series: decomposition approach
2024 · Ibtissam Amalou, Naoual Mouhni, et al. · International Conference on Global Aeronautical Engineering and Satellite Technology (GAST) · 9
Enhancing stress detection in wearable IoT devices using federated learning and LSTM based hybrid model
2024 · Naoual Mouhni, Ibtissam Amalou, et al. · Indonesian Journal of Electrical Engineering and Computer Science · 1
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Kernel Function Selection for FISVDD Applied to Outliers Detection Application for Energy Time Series Datasets
2024 · Ibtissam Amalou, Naoual Mouhni, et al. · Electric Power Components and Systems · 1
Deep Learning for Smart Grid Application: Addressing Data Scarcity Challenges and Enhancing Load Forecasting Efficiency
2024 · Ibtissam Amalou, Naoual Mouhni, et al. · Lecture notes in networks and systems · 1
Cross-domain application: supervised multivariate time series noise filtering by pretrained image denoisers
2026 · Ibtissam Amalou, Oumaima Anzal, et al. · Data Technologies and Applications
Leveraging MCESTA and Large Language Models for Next-Generation Similarity Learning
2026 · Mohamedou Cheikh Tourad, Abdelmounaim Abdali, et al. · International Journal of Advanced Computer Science and Applications
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A Comparative Study of HBOS and Isolation Forest Anomaly Detection Models: An Experimental Analysis
2025 · Naoual Mouhni, Sana Chakri, et al. · Springer eBooks
Works count: 9
Citation count: 271
H-index: 3
I10-index: 2
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