Arif, A., Rao, P. G., & Prasad, K. (2025). Hybrid deep learning approach concatenating CNN with supervised learning models for the tool wear prediction based on the analysis of tool wear image and temporal relationship among the cutting parameters. The International Journal of Advanced Manufacturing Technology, 141(9-10), 5603-5624. https://doi.org/10.1007/s00170-025-17008-2

ARIF, Abdul, RAO, Ponugoti Gangadhara und PRASAD, Kalapala, 2025. Hybrid deep learning approach concatenating CNN with supervised learning models for the tool wear prediction based on the analysis of tool wear image and temporal relationship among the cutting parameters. The International Journal of Advanced Manufacturing Technology. 1 Dezember 2025. Vol. 141, no. 9-10, p. 5603-5624. DOI 10.1007/s00170-025-17008-2.

Arif, A., P. G. Rao, und K. Prasad. „Hybrid Deep Learning Approach Concatenating CNN With Supervised Learning Models for the Tool Wear Prediction Based on the Analysis of Tool Wear Image and Temporal Relationship Among the Cutting Parameters“. The International Journal of Advanced Manufacturing Technology, Bd. 141, Nr. 9-10, Dezember 2025, S. 5603-24, https://doi.org/10.1007/s00170-025-17008-2.

Arif, Abdul/Rao, Ponugoti Gangadhara/Prasad, Kalapala: Hybrid deep learning approach concatenating CNN with supervised learning models for the tool wear prediction based on the analysis of tool wear image and temporal relationship among the cutting parameters, The International Journal of Advanced Manufacturing Technology 2025, 5603-5624.

Arif, A., Rao, P.G. und Prasad, K. (2025), „Hybrid deep learning approach concatenating CNN with supervised learning models for the tool wear prediction based on the analysis of tool wear image and temporal relationship among the cutting parameters“, The International Journal of Advanced Manufacturing Technology, Vol. 141 No. 9-10, S. 5603-5624.