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16 changes: 8 additions & 8 deletions Content/CE/CE.md
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Expand Up @@ -94,14 +94,14 @@ Department of Civil Engineering, GNDEC alongwith NIT, Jalandhar hosted 5th UKIER

A group of 6 students went to CSIR-IIT Roorkee for their 6 months Industrial Training. The details are as given below:

| Sr. No. | Name of Student | Name of Project |
| -- | -- | -- |
| 1|Sharanjit Singh | Evaluating 28 - Days Performance Of Rice Husk Ash Green Concrete Under Compression Gleaned From Neural Networks|
| 2|Sidhant Jindal|Retrofitting Of Precode-Built Reinforced Concrete Sructues As Per Present Codes Of Practice Using Sap2000 |
| 3| Yogesh Kumar|Neural Network Based Algorithm To Estimate The Axial Capacity Of Corroded Rc Columns |
| 4| Mool Chand|Evaluation Of Seismic Performanc Of Rcc Corroded Framed Structure And It’s Retrofitting Using Sap2000 |
| 5|Rohan Singh |Enhancing Sustainability Of Corroded Rc Structures: Estimating Steel-To-Concrete Bond Strength With Ann And Svm Algorithms |
| 6|Sarvanshdeeo Singh Sahota |Ml-Based Computational Model To Estimate The Compressive Strength Of Sustainable Concrete Intergrating Silica Fume And Steel Fiber |
**| Sr. No. | Name of Student | Name of Project | Publisher |**
| -- | -- | -- | -- |
| 1|Sharanjit Singh | Evaluating 28-Days Performance of Rice Husk Ash Green Concrete under Compression Gleaned from Neural Networks | [Hindawi] (https://doi.org/10.1155/2023/1177458) |
| 2|Sidhant Jindal | Seismic Evaluation and Retrofitting of Rc Corroded Structures Using Sap2000 Software in Accordance With Different INDIANGUIDELINES | [ELSEVIER] (https://dx.doi.org/10.2139/ssrn.4556976)
| 3|Yogesh Kumar | Neural Network Based Algorithm to Estimate the Axial Capacity of Corroded RC Columns | [SPRINGER] (https://link.springer.com/chapter/10.1007/978-3-031-31153-6_19) |
| 4|Mool Chand | Evaluation Of Seismic Performance Of RCC Corroded Framed Structure And It’s Retrofitting Using Sap2000 | [ELSEVIER] (https://dx.doi.org/10.2139/ssrn.4556976) |
| 5|Rohan Singh | Enhancing Sustainability of Corroded RC Structures: Estimating Steel-to-Concrete Bond Strength with ANN and SVM Algorithms | [MDPI] (https://doi.org/10.3390/ma15238295)
| 6|Sarvanshdeeo Singh Sahota | ML-Based Computational Model to Estimate the Compressive Strength of Sustainable Concrete Integrating Silica Fume and Steel Fibers | [SPRINGER] (https://link.springer.com/chapter/10.1007/978-3-031-31153-6_20) |


![Conf](Images/CSIR.jpg)
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