Evaluating the deep learning software tools for large-scale enterprises using a novel TODIFFA-MCDM framework

Author:

Gligorić ZoranORCID,Görçün Ömer FarukORCID,Gligorić MilošORCID,Pamucar DraganORCID,Simic VladimirORCID,Küçükönder HandeORCID

Publisher

Elsevier BV

Reference95 articles.

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2. Intelligent fault detection and classification based on hybrid deep learning methods for hardware-in-the-loop test of automotive software systems;Abboush;Sensors,2022

3. Abdulaal, R.M.S., Bafail, O.A., 2022. Two new approaches (RAMS-RATMI) in multi-criteria decision-making tactics. J. Math. 2022. doi: 10.1155/2022/6725318.

4. Benchmarking open source deep learning frameworks;Al-Bdour;Int. J. Electr. Comput. Eng.,2020

5. Benchmarking methodology of banks based on financial sustainability using CRITIC and RAFSI techniques;Ali;Decis. Mak.: Appl. Manag. Eng.,2024

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