boumaaza messaouda

Assessment and prediction of water quality indices by machine learning-genetic algorithm and response surface methodology. https://doi.org/10.1007/s40808-024-02079-z

Performance analysis of biochar and W. Robusta palm waste reinforced green mortar using response surface methodology and machine learning methods. https://doi.org/10.1016/j.conbuildmat.2024.137214

Effects of incorporating cellulose fibers from Yucca treculeana L. on the thermal characteristics of green composites based on high-density poly-ethylene: An eco-friendly material for cleaner production. https://doi.org/10.1016/j.jmrt.2024.06.089

ANN and RSM Prediction of Water Uptake of Recycled HDPE Biocomposite Reinforced with Treated Palm Waste W. filifera. https://doi.org/10.1080/15440478.2024.2356697

Prediction of purified water quality in industrial hydrocarbon wastewater treatment using an artificial neural network and response surface methodology. https://doi.org/10.1016/j.jwpe.2023.104757

Mechanical properties and statistical analysis of Syagrus Romanzoffiana palm cellulose fibers. https://doi.org/10.1177/00219983241231833

Weibull Statistic and Artificial Neural Network Analysis of the Mechanical Performances of Fibers from the Flower Agave Plant for Eco-Friendly Green Composites. https://doi.org/10.1080/15440478.2024.2305228

Environmentally mortar development using Washingtonia/biochar waste hybrid: mechanical and thermal properties. https://doi.org/10.1007/s13399-023-04743-3

Effect of Number of Tests on the Mechanical Characteristics of Agave sisalana Yarns for Composites Structures: Statistical Approach. https://doi.org/10.3390/polym15132885

Optimization of drilling process parameters of sisal/cork-reinforced epoxy biosandwich structure by multi-objective RSM and hybrid ANN-GA models. https://doi.org/10.1007/s00170-023-11791-6

Building Material in Circular Economy: The Suitability of Wood Waste in Bio-concrete Development. https://doi.org/10.1007/978-981-99-1905-5_9

Effects of alkaline treatment of Washingtonia mesh waste on the mechanical and physical properties of bio-mortar: experimental and prediction models. https://doi.org/10.1007/s13399-023-04221-w

Water Uptake of HDPE Reinforced with Washingtonia Fibre Biocomposites: Mathematical Modelling using Artificial Neural Network, Response Surface Methodology and Genetic Algorithm. https://doi.org/10.1080/2374068X.2023.2198828

Optimization of flexural properties and thermal conductivity of Washingtonia plant biomass waste biochar reinforced bio-mortar. https://doi.org/10.1016/j.jmrt.2023.02.009

Improving the Mechanical Performance of Biocomposite Plaster/ Washingtonia filifera: Optimization Comparison Between ANN and RSM Approaches. https://doi.org/10.1080/15440478.2023.2170945

Efect of jute fber length on drilling performance of biocomposites: optimization comparison between RSM, ANN, and genetic algorithm. https://doi.org/10.1007/s00170-022-10801-3

Response Surface Methodology Optimization of Palm Rachis Biochar Content and Temperature Effects on Predicting Bio-Mortar Compressive Strength, Porosity and Thermal Conductivity. https://doi.org/10.1080/15440478.2022.2162184

Optimization of Palm Rachis Biochar Waste Content and Temperature Effects on Predicting Bio-Mortar : ANN and RSM Modelling. https://doi.org/10.1080/15440478.2022.2151547

Effect of Water Absorption on the Behavior of Jute and Sisal Fiber Biocomposites at Different Lengths: ANN and RSM Modeling. https://doi.org/10.1080/15440478.2022.2140326

Modeling Moisture Absorption of Flax/Sisal Reinforced Hybrid Biocomposites Using Fick’s and ANN Methods. https://doi.org/10.1080/15440478.2022.2140322

Drilling performance prediction of HDPE/Washingtonia fiber biocomposite using RSM, ANN, and GA optimization. https://doi.org/10.1007/s00170-022-10248-6

Mechanical Properties of Natural Cellulosic Yucca treculeana L. Fiber for Biocomposites Applications: Statistical Analysis. https://doi.org/10.1080/15440478.2022.2128505

Water Absorption Behavior of Jute Fibers Reinforced HDPE Biocomposites: Prediction Using RSM and ANN Modeling. https://doi.org/10.1080/15440478.2022.2114976

Delamination in drilling of jute/cork-reinforced polymer biosandwich materials: optimization by response surface methodology and genetic algorithm. https://doi.org/10.1007/s00170-022-10001-z

Drilling performance of short Washingtonia filifera fiber–reinforced epoxy biocomposites: RSM modelling. https://doi.org/10.1007/s00170-022-09849-y

Tensile Behavior and Statistical Analysis of Washingtonia Filifera Fibers as Potential Reinforcement for Industrial Polymer Biocomposites. https://doi.org/10.1080/15440478.2022.2069189

Systematic Review on Reinforcing Mortars with Natural Fibers: Challenges of Environment-Friendly Option. https://doi.org/10.1080/15440478.2022.2060408

Comparative study of flexural properties prediction of Washingtonia filifera rachis biochar bio-mortar by ANN and RSM models. https://doi.org/10.1016/j.conbuildmat.2021.125985

Drilling of a bidirectional jute fibre and cork-reinforced polymer biosandwich structure: ANN and RSM approaches for modelling and optimization. https://doi.org/10.1007/s00170-021-07679-y.

Experimental investigation and optimization of delamination factors in the drilling of jute fiber–reinforced polymer biocomposites with multiple estimators. https://doi.org/10.1007/s00170-021-07628-9.

The effect of alkaline treatment on mechanical performance of natural fibers-reinforced plaster: Optimization using RSM. https://doi.org/10.1080/15440478.2020.1724236.

The effect of alkaline treatment on mechanical performance of natural fibers-reinforced plaster: Part II optimization comparison between ANN and RSM statistics. https://doi.org/10.1080/15440478.2021.1964129.

The Effect of Geometry on the Flexural Properties of Cellular Structures Reinforced with Natural Fibres: Statistical Approach. https://doi.org/10.1080/15440478.2021.1964134.

Improving the mechanical performance of biocomposite plaster/ Washingtonian filifira fibres using the RSM method. https://doi.org/10.1016/j.jobe.2020.101840.

Mechanical characterization and optimization of delamination factor in drilling bidirectional jute fibre-reinforced polymer biocomposites. https://doi.org/10.1007/s00170-020-06217-6.

Behavior of pre-cracked deep beams with composite materials repairs. DOI: https://doi.org/10.12989/sem.2017.63.5.575.

Statistical Analysis of 3-Point Bending Properties of Polymer Concretes Made From Marble Powder Waste, Sand Grains, and Polyester Resin. DOI 10.1007/s11029-018-9703-2.