| 1 |
Vaibhav Gagneja, Mayank Gupta, Sanjay Batish, Poonam Saini, and Sudesh Rani. "ES-LSTM: a hybrid model for accurate time series forecasting in financial markets." Digital Finance 8, no. 1 (2026): 12.https://doi.org/10.1007/s42521-025-00173-0 |
| 2 |
Pavneet Kaur, Trilok Chand & Sudesh Rani, "Integration of Artificial Intelligence in Laryngeal Cancer Diagnosis and Prognosis: A Comparative Analysis Bridging Traditional Medical Practices with Modern Computational Techniques", Archives of Computational Methods in Engineering, 33, 2375–2411 (2026). https://doi.org/10.1007/s11831-025-10368-8 |
| 3 |
Sudesh Rani, Akash Rout, Priyanka Soni, Mayank Gupta, Naresh Kumar, and Karan Kumar. "Review of CNN-Based Approaches for Preprocessing, Segmentation and Classification of Knee Osteoarthritis" Diagnostics 16, no. 3: 461. (2026) https://doi.org/10.3390/diagnostics16030461 |
| 4 |
Sudesh Rani, Akash Rout, Yashita Bansal, Raghav Goel, Ankur Gupta, "Deep Learning based Multiclass Classification of Pneumonia, COVID-19, and Tuberculosis from Chest X-ray Images", Presnted at 11th International Conference on Mathematics and Computing (ICMC 2025), 9-11 January 2025, IIT Bhilai, India. |
| 5 |
Varun Prakash Saxena, Malaram Kumhar, Jitendra Bhatia, Sudeep Tanwar, Sudesh Rani, Mayank Gupta, Rushi H. Prajapati, "Enhancing Image Understanding in Automatic Captioning using Spatially-Aware Transformer Architectures." Procedia Computer Science 258 (2025): 2081-2090. [3rd International Conference on Machine Learning and Data Engineering. ICMLDE 3.0, UPES Dehradun, November 28-29, 2024] DOI: https://doi.org/10.1016/j.procs.2025.04.458 |
