We are delighted and filled with pride as we extend our warmest congratulations to M.C. Ramesh, R. Rajamanickam, and S. Jayaraman. Their groundbreaking paper, titled "The prediction of yarn tensile properties by using artificial neural networks", was published in the Journal of the Textile Institute in 1995 (only in print; the paper was digitized and made available online in 2008).

We are thrilled to announce that this remarkable work has been selected as one of the 24 papers for inclusion in the Special Issue published July 2023, in celebration of the Journal of the Textile Institute’s Centenary Year! Let us take a moment to acknowledge the profound impact they have had on our academic community.

The paper that I would nominate that has widely impacted the following work on statistical analysis and data learning-based modeling in the textile research communities since its publication 27 years ago is ‘The Prediction of Yarn Tensile Properties by Using Artificial Neural Networks’, by M. C. Ramesh, R. Rajamanickam & S. Jayaraman. Until 2022, it received 122 citations and 1 highly influential citation in Semantical Scholar. Considered as one of the earliest representative works on modeling of textile processes with Artificial Neural Networks (ANNs) and other AI techniques, this paper was realized in 1995 by M. C. Ramesh, R. Rajamanickam & S. Jayaraman at the School of Textile and Fiber Engineering, Georgia Institute of Technology, Atlanta, GA, USA. The whole of the work presented in this paper was led or coordinated by Prof. S. Jayaraman at Georgia Tech, a pioneer in bringing about convergence between textiles and computing. Read more