Rusyn, V., Boichuk, A., & Mochurad, L. (2025). Cross-Language Transfer-Learning Approach via a Pretrained Preact Res Net-18 Architecture for Improving Kanji Recognition Accuracy and Enhancing a Number of Recognizable Kanji. Applied Sciences (2076-3417), 15(9), 4894-4922. https://doi.org/10.3390/app15094894

RUSYN, Vasyl, BOICHUK, Andrii und MOCHURAD, Lesia, 2025. Cross-Language Transfer-Learning Approach via a Pretrained Preact Res Net-18 Architecture for Improving Kanji Recognition Accuracy and Enhancing a Number of Recognizable Kanji. Applied Sciences (2076-3417). 1 Mai 2025. Vol. 15, no. 9, p. 4894-4922. DOI 10.3390/app15094894.

Rusyn, V., A. Boichuk, und L. Mochurad. „Cross-Language Transfer-Learning Approach via a Pretrained Preact Res Net-18 Architecture for Improving Kanji Recognition Accuracy and Enhancing a Number of Recognizable Kanji.“. Applied Sciences (2076-3417), Bd. 15, Nr. 9, Mai 2025, S. 4894-22, https://doi.org/10.3390/app15094894.

Rusyn, Vasyl/Boichuk, Andrii/Mochurad, Lesia: Cross-Language Transfer-Learning Approach via a Pretrained Preact Res Net-18 Architecture for Improving Kanji Recognition Accuracy and Enhancing a Number of Recognizable Kanji., Applied Sciences (2076-3417) 2025, 4894-4922.

Rusyn, V., Boichuk, A. und Mochurad, L. (2025), „Cross-Language Transfer-Learning Approach via a Pretrained Preact Res Net-18 Architecture for Improving Kanji Recognition Accuracy and Enhancing a Number of Recognizable Kanji.“, Applied Sciences (2076-3417), Vol. 15 No. 9, S. 4894-4922.