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Zakia Lakhliai

Researcher at Sidi Mohamed Ben Abdellah University

Publications -  14
Citations -  114

Zakia Lakhliai is an academic researcher from Sidi Mohamed Ben Abdellah University. The author has contributed to research in topics: Artificial neural network & Bandgap voltage reference. The author has an hindex of 4, co-authored 13 publications receiving 71 citations. Previous affiliations of Zakia Lakhliai include Indonesian Institute of Sciences.

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Journal ArticleDOI

New daily global solar irradiation estimation model based on automatic selection of input parameters using evolutionary artificial neural networks

TL;DR: Results show that the proposed model, not only achieves good solar irradiation estimation performance but also allows an automatic selection of the best input parameters for the ANN with lower population size and maximum generation ensuring good computation time.
Journal ArticleDOI

Short term solar irradiance forecasting via a novel evolutionary multi-model framework and performance assessment for sites with no solar irradiance data

TL;DR: New machine learning forecasting models based on optimized ANNs in order to accurately predict solar irradiance are proposed to generate multiple models for different time horizons up to 6 h ahead by the evolution of the forecasting history and ANN architecture.
Proceedings ArticleDOI

A review of solar radiation prediction using artificial neural networks

TL;DR: In this paper, the authors provide an updated review of solar radiation prediction models using ANN's, based on 32 retained papers, by specifying the prediction horizon, ANN architecture and the corresponding obtained performance indicators.
Journal ArticleDOI

Segmentation-free Word Spotting for Handwritten Arabic Documents

TL;DR: An unsupervised segmentation-free method for spotting and searching query, especially, for images documents in handwritten Arabic, for this, Histograms of Oriented Gradients are used as the feature vectors to represent the query and documents image.
Journal ArticleDOI

ANN-based modelling and prediction of daily global solar irradiation using commonly measured meteorological parameters

TL;DR: In this article, an ANN-based model for predicting the daily global solar irradiation in the city of Fez was developed, which is verified and appraised through the local collected database for the period 2009-2015 from the radiometric station of the Faculty of Sciences and Technology of Feez.