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Author

Maryam Maatallah

Observed institution: Mohamed I University
ORCID: 0009-0001-5154-349X
Observed ORCID: 0009-0001-5154-349X
OpenAlex ID: A5114777352
A Lambda Lakehouse Architecture Bridging Streaming and Batch Intelligence in Volatile and Scalable Financial Data Processing
2025 · Maryam Maatallah, Mourad Fariss, et al. · Statistics Optimization & Information Computing · 3
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Enhancing Forex Trading Predictions with Machine Learning: Cloud and Local Performance Evaluation
2024 · Mourad Fariss, Maryam Maatallah, et al. · International Conference on Intelligent Computing in Data Sciences (ICDS) · 3
An Effective Real-Time Comparative Analysis of Lambda and Kappa Architectures
2025 · Maryam Maatallah, Mourad Fariss, et al. · International Conference on Circuit, Systems and Communication (ICCSC) · 2
A Lambda Lakehouse Deep Learning Framework for Gold Price Forecasting in Financial Markets
2026 · Mourad Fariss, Maryam Maatallah, et al. · Statistics Optimization & Information Computing · 1
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Real-Time Data Processing and Big Data Analytics: A Comparative Study of Modern Platforms
2025 · Maryam Maatallah, Mourad Fariss, et al. · Lecture notes in networks and systems · 1
Toward a Unified Lambda-Kappa Architecture for Real-Time and Historical Processing with Data Lakehouse Optimization
2025 · Maryam Maatallah, Mourad Fariss, et al. · SSRN Electronic Journal · 1
VMD-RDIC-DL: A Composite Relevance-Driven Hybrid Decomposition and Deep Learning Framework for Cryptocurrency Forecasting
2026 · Maryam Maatallah, Mourad Fariss, et al. · Journal of Computational and Cognitive Engineering
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A Proof-of-Concept Integrated Kafka-Spark-Delta Lake Framework with Bidirectional RNN Models for Cryptocurrency Forecasting
2026 · Maryam Maatallah, Mourad Fariss, et al. · International Conference on Networking, Information Systems & Security (NISS)
Improving Cryptocurrency Forecasting Under Nonstationarity with a Multi-Scale VMD and BiLSTM Strategy
2026 · Maryam Maatallah, Mourad Fariss, et al. · Lecture notes in networks and systems
Works count: 9
Citation count: 11
H-index: 2
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