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