Jakub Gajewski 
- (2022): Crashworthiness analysis of thin-walled aluminum columns filled with aluminum–silicon carbide composite foam. Dans: Composite Structures, v. 299 (novembre 2022).
- (2017): Geometry optimization of a thin-walled element for an air structure using hybrid system integrating artificial neural network and finite element method. Dans: Composite Structures, v. 159 (janvier 2017).
- (2019): The use of kernel density estimates for classification of ripping tool wear. Dans: Tunnelling and Underground Space Technology, v. 88 (juin 2019).
- (2011): Towards the identification of worn picks on cutterdrums based on torque and power signals using Artificial Neural Networks. Dans: Tunnelling and Underground Space Technology, v. 26, n. 1 (janvier 2011).
- (2006): Identifying the cutting tool type used in excavations using neural networks. Dans: Tunnelling and Underground Space Technology, v. 21, n. 2 (mars 2006).
- (2006): Utilisation of neural networks to identify the status of the cutting tool point. Dans: Tunnelling and Underground Space Technology, v. 21, n. 2 (mars 2006).
- (2008): Identification of ripping tool types with the use of characteristic statistical parameters of time graphs. Dans: Tunnelling and Underground Space Technology, v. 23, n. 1 (janvier 2008).
- (2019): Optimal selection of signal features in the diagnostics of mining head tools condition. Dans: Tunnelling and Underground Space Technology, v. 84 (février 2019).
- (2013): Classification of wear level of mining tools with the use of fuzzy neural network. Dans: Tunnelling and Underground Space Technology, v. 35 (avril 2013).
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