By Dr Murat Tahtali

Book Chapters

Irawan D; Morozov EV; Tahtali M, 2025, 'Machine Learning–Based Method for Structural Damage Detection', in , pp. 137 - 142, http://dx.doi.org/10.1007/978-3-031-68142-4_17

Sumit SS; Anavatti S; Tahtali M; Mirjalili S; Turhan U, 2024, 'KDVGG-Lite: A Distilled Approach for Enhancing the Accuracy of Image Classification', in Lecture Notes in Computer Science, Springer Nature Singapore, pp. 15 - 27, http://dx.doi.org/10.1007/978-981-97-4985-0_2

Hadipour M; Tahtali M; Lambert AJ, 2018, 'Development of a PVDF multi-resonance vibration sensor with a wide range of frequency resolution', in Modern Sensing Technologies, Springer Nature, pp. 267 - 288, https://link.springer.com/book/10.1007/978-3-319-99540-3#page=275

Saha S; Tahtali M, 2016, 'Compressed sensing and its application in CT and EEG', in Medical Imaging: Concepts, Methodologies, Tools, and Applications, IGI Global, pp. 1126 - 1149, http://dx.doi.org/10.4018/978-1-5225-0571-6.ch046

Tahtali M; Saha S, 2015, 'Compressed Sensing and Its Application in CT and EEG', in Karâa WBA; Dey N (ed.), Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes, Medical Information Science Reference, pp. 123 - 146, http://dx.doi.org/10.4018/978-1-4666-8811-7

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