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37Scientific publications
4Publication years
0Full papers available

38 records

Research article

2025-11-26 · Materials for Renewable and Sustainable Energy

Dual proton transport in Schiff base-modified chitosan functionalized with AMPS for fuel cell applications

Sonia Jebri; Walid Mabrouk; Ridha Elleuch; et al.

Proton exchange membranes (PEMs) require high proton conductivity, stability, and durability for fuel cell applications. This study reports the synthesis of N-(2-acrylamido-2-methylpropane sulfonyl) chitosan (CSB) via Schiff base functionalization with 2-acrylamido-2-methylpropane sulfonic acid (AMPS) and the…

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Research article

2025-11-20 · Polymers

Comparative Effects of Various Plasticizers on the Physicochemical Characteristics of Polyhydroxybutyrate (PHB) Film for Food Packaging

Siwar Taamallah; Sabrine Douiri; Sherif M. A. S. Keshk; et al.

This work examined the effects of four plasticizers, glycerol (GLY), potassium phosphate (PHOS), polyethylene glycol (PEG), and soy lecithin (SL), on the structural, surface, thermal, optical, and mechanical properties of polyhydroxybutyrate (PHB) films. FTIR spectra demonstrated…

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Research article

2025-11 · Materials Science and Engineering: B

In-situ synthesis of ZnO nanoparticles in oxidized polyvinyl alcohol nanocomposites for tunable optoelectronic and proton conductive performance

Ridha Elleuch; Maryam mallek; Khaled Charradi; et al.

This work presents the in-situ synthesis of zinc oxide (ZnO) nanoparticles in an oxidized polyvinyl alcohol (OPVA) matrix, which greatly enhances the final nanocomposites optical, mechanical, and proton conductive properties. Zinc acetate was used as a…

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Conference paper

2025-07-15 · 2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)

Transfer Learning for Predicting Thermal Comfort in Office Environments with Climate Similar to Tunisia: Overcoming Data Scarcity with Deep GRU-BiGRU Models

Mohamed Khayri Rahmani; Hajer Chtioui; Jalel Ben Hadj Slama; et al.

This conference paper explores transfer learning with deep GRU-BiGRU models to address data scarcity in thermal comfort prediction for office environments with climates similar to Tunisia.

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