18 Mar 2026
A taxonomy-based benchmark of parametric and non-parametric machine learning models for data-driven precipitation prediction in MoroccoPublisher siteTheoretical and Applied Climatology, Hydrological Forecasting Using AI
Active, last published 2026
In cloud computing and resource management
Saloua El
Motaki
Scholar“Research focused on Cloud Computing and Resource Management and adjacent fields.”
Chouaib Doukkali University
Morocco
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01 · About the work
What I study
aloua El Motaki is a researcher working on Cloud Computing and Resource Management. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Saloua's work has been cited 79 times across 4 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Cloud Computing and Resource Management×7IoT and Edge/Fog Computing×5Energy Load and Power Forecasting×4Advanced Clustering Algorithms Research×3Software System Performance and Reliability×3
04 · Where I am
Affiliations
Affiliation on published researchChouaib Doukkali University, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
5 works29 Sept 2025
A Combined Approach to Precipitation Forecasting: Enhancing FB–Prophet With Fuzzy Clustering to Capture Sudden Changes and Seasonal Patterns in Climate DataPublisher siteJournal of Forecasting, Hydrological Forecasting Using AI
19 Oct 2024Open access1cites
Taxonomy of optimization algorithms combined with CNN for optimal placement of virtual machines within physical machines in data centersPublisher siteEnergy Informatics, Cloud Computing and Resource Management
8 May 20242cites
Long Short-Term Memory Networks for Server Workload PredictionPublisher site31 May 20236cites
<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mi>β</mml:mi></mml:math>-Random Walk: Collaborative sampling and weighting mechanisms based on a single parameter for node embeddingsPublisher sitePattern Recognition, Complex Network Analysis Techniques
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