Ghassan Almasabha 
- (2024): A comparative study of LightGBM, XGBoost, and GEP models in shear strength management of SFRC-SBWS. In: Structures, v. 61 (March 2024).
- (2024): Automated analysis and design for recycled aggregate reinforced concrete beams. In: Structural Concrete, v. 25, n. 1 (January 2024).
- (2023): Data-driven machine learning methodology for designing slender FRP-RC columns. In: Structures, v. 57 (November 2023).
- (2023): A comparative study of shear strength prediction models for SFRC deep beams without stirrups using Machine learning algorithms. In: Structures, v. 55 (September 2023).
- (2023): A Horizontal Stiffener Detailing for Shear Links at the Link-to-Column Connection in Eccentrically Braced Frames. In: Journal of Structural Engineering (ASCE), v. 149, n. 9 (September 2023).
- : Structural performance of buried reinforced concrete pipelines under deep embankment soil. In: Construction Innovation.
- (2023): Machine learning-based models for predicting the shear strength of synthetic fiber reinforced concrete beams without stirrups. In: Structures, v. 52 (June 2023).
- (2023): Shear strength of circular concrete-filled tube (CCFT) members using human-guided artificial intelligence approach. In: Engineering Structures, v. 282 (May 2023).
- (2023): New Reinforcement Configuration for Achieving High-Ductility and High-Strength Rectangular Squat Structural Walls. In: ACI Structural Journal, v. 120, n. 1 (January 2023).
- (2022): Evaluating the Impact of External Support on Green Building Construction Cost: A Hybrid Mathematical and Machine Learning Prediction Approach. In: Buildings, v. 12, n. 8 (31 July 2022).
- (2022): Machine Learning-Based Model for Predicting the Shear Strength of Slender Reinforced Concrete Beams without Stirrups. In: Buildings, v. 12, n. 8 (31 July 2022).
- (2022): You only design once (YODO): Gaussian Process-Batch Bayesian optimization framework for mixture design of ultra high performance concrete. In: Construction and Building Materials, v. 330 (May 2022).
- (2022): ColumnsNet: Neural Network Model for Constructing Interaction Diagrams and Slenderness Limit for FRP-RC Columns. In: Journal of Structural Engineering (ASCE), v. 148, n. 8 (August 2022).
- (2022): Data-Driven Flexural Stiffness Model of FRP-Reinforced Concrete Slender Columns. In: Journal of Composites for Construction, v. 26, n. 3 (June 2022).
- (2022): Gene expression model to estimate the overstrength ratio of short links. In: Structures, v. 37 (March 2022).
- (2022): Slenderness limit of FRP-confined rectangular concrete columns. In: Structures, v. 38 (April 2022).
- (2021): Innovative and reliable model for shear strength of steel fibers reinforced concrete beams. In: Structures, v. 32 (August 2021).
Structurae cooperates with
