update

publications/joss/paper.md

@@ -57,7 +57,7 @@ of space missions will not be fully accomplished. Different analytical and stati
 Bayesian statistics, and packages have been developed [e.g., @batalha2017pandexo; @batalha2019picaso; @MacDonald2023POSEIDON]
 and are utilized in the context of forward- and retrieval-radiative transfer modeling to interpret these datasets and 
 extract crucial information, such as atmospheric temperature, metallicity, carbon-to-oxygen ratio, and surface gravity 
-[e.g., @Marley2015; @line2014systematic; @Iyer2023Sphinx]. These atmospheric models rely on the synthetic training 
+[e.g., @line2014systematic; @Iyer2023Sphinx; @Marley2015]. These atmospheric models rely on the synthetic training 
 datasets generated by simulating the physics and chemistry of these atmospheres for a wide range of thermal structures 
 and compositions. In addition, different machine learning and deep learning methods have been developed in recent years 
 to perform various tasks, such as confirming the detection of exoplanets [e.g., @Valizadegan2021 by implementing CNN 
@@ -100,11 +100,11 @@ extract the target features from the observational data.](TelescopeML_modules.pd
 documentation is hosted with _Sphinx_ using _ReadtheDocs_ tools and includes several instructions and tutorials 
 as follows: 
 
-- **Main page**: https://ehsangharibnezhad.github.io/TelescopeML/
-- **Installation**: https://ehsangharibnezhad.github.io/TelescopeML/installation.html
-- **Tutorials and examples**: https://ehsangharibnezhad.github.io/TelescopeML/tutorials.html
-- **The code**: https://ehsangharibnezhad.github.io/TelescopeML/code.html
-- **ML Concepts**: https://ehsangharibnezhad.github.io/TelescopeML/knowledgebase.html
+- **Main page**: [ehsangharibnezhad.github.io/TelescopeML/](https://ehsangharibnezhad.github.io/TelescopeML/)
+- **Installation**: [ehsangharibnezhad.github.io/TelescopeML/installation.html](https://ehsangharibnezhad.github.io/TelescopeML/installation.html)
+- **Tutorials and examples**: [ehsangharibnezhad.github.io/TelescopeML/tutorials.html](https://ehsangharibnezhad.github.io/TelescopeML/tutorials.html)
+- **The code**: [ehsangharibnezhad.github.io/TelescopeML/code.html](https://ehsangharibnezhad.github.io/TelescopeML/code.html)
+- **ML Concepts**: [ehsangharibnezhad.github.io/TelescopeML/knowledgebase.html](https://ehsangharibnezhad.github.io/TelescopeML/knowledgebase.html)
 
 
 #  Users  and Future Developments