Osama Abdeljaber 
- (2024): Cross-sectional analysis of timber boards using convolutional long short_term memory neural networks. In: Construction and Building Materials, v. 451 (November 2024).
- (2024): Monitoring framework development for a network of multiple laboratory structures. In: Journal of Building Engineering, v. 92 (September 2024).
- (2024): Predicting out-of-plane bending strength of cross laminated timber: Finite element simulation and experimental validation of homogeneous and inhomogeneous CLT. In: Engineering Structures, v. 308 (Juni 2024).
- (2023): Dynamic evaluation of a nine-storey timber-concrete hybrid building during construction. In: Engineering Structures, v. 289 (August 2023).
- (2023): Automatic estimation of annual ring profiles in Norway spruce timber boards using optical scanning and deep learning. In: Computers & Structures, v. 275 (Januar 2023).
- (2022): Long-term analysis of the environmental effects on the global dynamic properties of a hybrid timber-concrete building. In: Engineering Structures, v. 268 (Oktober 2022).
- (2022): Determination of pith location along Norway spruce timber boards using one dimensional convolutional neural networks trained on virtual timber boards. In: Construction and Building Materials, v. 329 (April 2022).
- (2022): Operational modal analysis and finite element model updating of a 230 m tall tower. In: Structures, v. 37 (März 2022).
- (2021): A methodological approach towards evaluating structural damage severity using 1D CNNs. In: Structures, v. 34 (Dezember 2021).
- (2017): Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks. In: Journal of Sound and Vibration, v. 388 (Februar 2017).
- (2020): A numerical and experimental investigation of a special type of floating-slab tracks. In: Engineering Structures, v. 215 (Juli 2020).
- (2018): Sensing and Monitoring for Stadium Structures: A Review of Recent Advances and a Forward Look. In: Frontiers in Built Environment, v. 3 (Februar 2018).
- (2016): Nonparametric Structural Damage Detection Algorithm for Ambient Vibration Response: Utilizing Artificial Neural Networks and Self-Organizing Maps. In: Journal of Architectural Engineering (ASCE), v. 22, n. 2 (Juni 2016).
- (2016): Self-Organizing Maps for Structural Damage Detection: A Novel Unsupervised Vibration-Based Algorithm. In: Journal of Performance of Constructed Facilities (ASCE), v. 30, n. 3 (Juni 2016).
- (2018): Novel Framework for Vibration Serviceability Assessment of Stadium Grandstands Considering Durations of Vibrations. In: Journal of Structural Engineering (ASCE), v. 144, n. 2 (Februar 2018).
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