Update README: add IJMLC publication details and citation

Author: habibirani

README.md

@@ -5,11 +5,11 @@
 [![Python 3.10](https://img.shields.io/badge/python-3.10-blue.svg)](https://www.python.org/downloads/release/python-3100/)
 [![PyTorch](https://img.shields.io/badge/PyTorch-2.0+-ee4c2c?logo=pytorch&logoColor=white)](https://pytorch.org/)
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
-[![arXiv](https://img.shields.io/badge/arXiv-2502.12370-b31b1b.svg)](https://arxiv.org/abs/2502.12370)
+[![Published in IJMLC](https://img.shields.io/badge/IJMLC-10.1007%2Fs13042--026--03151--z-b31b1b.svg)](https://doi.org/10.1007/s13042-026-03151-z)
 
 This repository provides a comprehensive evaluation framework for positional encoding methods in transformer-based time series models, along with implementations and benchmarking results.
 
-Our work is available on arXiv: [Positional Encoding in Transformer-Based Time Series Models: A Survey](https://arxiv.org/abs/2502.12370)
+Our work is published in *International Journal of Machine Learning and Cybernetics* (IJMLC), Springer: [Positional Encoding in Transformer-Based Time Series Models: A Survey](https://doi.org/10.1007/s13042-026-03151-z) (Open Access). Preprint also available on [arXiv](https://arxiv.org/abs/2502.12370).
 
 ## Models
 
@@ -181,10 +181,15 @@ Please make sure to update tests as appropriate.
 ## Citation
 
 ```bibtex
-@article{irani2025positional,
-  title={Positional Encoding in Transformer-Based Time Series Models: A Survey},
+@article{irani2026positional,
+  title={Positional encoding in transformer-based time series models: a survey},
   author={Irani, Habib and Metsis, Vangelis},
-  journal={arXiv preprint arXiv:2502.12370},
-  year={2025}
+  journal={International Journal of Machine Learning and Cybernetics},
+  volume={17},
+  number={7},
+  pages={339},
+  year={2026},
+  publisher={Springer},
+  doi={10.1007/s13042-026-03151-z}
 }
 ```