Conferences
1. Deota, O., Sahu, S., Verma, S., & Rathore, Y. K. (2025, June). AI-monitored precision tracking & coal quality prediction system. In International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025) (pp. 72-89). Atlantis Press.
2. Pandey, A. K., Tigga, A., Ali, A., & Rathore, Y. K. (2025, June). Supply Chain Management for Multi-Modal Visibility of Coal Transportation Using Real Time Data Visualization. In International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025) (pp. 335-344). Atlantis Press.
3. Rathore, Yogesh Kumar, Rekh Ram Janghel, and Monoj Pradhan. "Performance Analysis of Transfer Learning Models to Detect the Rice Plant Leaf Diseases from Real-Time Data of Chhattisgarh State of India." In International Conference on Intelligent Technologies, pp. 119-131. Singapore: Springer Nature Singapore, 2023. (Scopus Index)
4. Sharma, Vishal, Debabrata Mukhopadhyay, Kirti Gupta, Yogesh Rathore, and P. Jagadeesan. "Identifying leukemia subtypes with deep learning and blood cell images." In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), vol. 1, pp. 1-6. IEEE, 2023. (Scopus Index)
5. Pandey, Saroj Kumar, Kamred Udham Singh, Gaurav Kumar, Teekam Singh, Yogesh Kumar Rathore, and Ankit Kumar. "COVID-19 Vaccination Progress and Projections Across African Continents." In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), vol. 1, pp. 1-6. IEEE, 2023. (Scopus Index)
6. Kumar, Ankit, Kamred Udham Singh, Teekam Singh, Nargis Banu, Yogesh Kumar Rathore, and Saroj Kumar Pandey. "Liver Tumour Parameter Prediction Using Feature Extraction and Supervised Function." In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), vol. 1, pp. 1-5. IEEE, 2023. (Scopus Index)
7. Rathore, Yogesh, Upasana Sinha, Jaysing Pandurang Haladkar, Nilesh R. Mate, Supriya Ashok Bhosale, and Santoshkumar Vaman Chobe. "Optimizing patient flow and resource allocation in hospitals using AI." In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), vol. 1, pp. 1-6. IEEE, 2023. (Scopus Index)
8. Rathore, Yogesh, Vandana Mishra Chaturvedi, Vijay Suresh Karwande, Anil Haribhau Rokade, and Yogesh Nagargoje. "Patient engagement and satisfaction in AI-enhanced healthcare management." In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), vol. 1, pp. 1-7. IEEE, 2023. (Scopus Index)
9. Trivedi, Ashish, J. P. Patra, and Yogesh Kumar Rathore. "Identification and classification of oral cancer using machine learning techniques." In 2023 international conference on artificial intelligence for innovations in healthcare industries (ICAIIHI), vol. 1, pp. 1-5. IEEE, 2023. (Scopus Index)
10. Rathore, Yogesh Kumar, Rekh Ram Janghel, and Monoj Pradhan. "Performance Analysis of Transfer Learning Models to Detect the Rice Plant Leaf Diseases from Real-Time Data of Chhattisgarh State of India." In International Conference on Intelligent Technologies, pp. 119-131. Singapore: Springer Nature Singapore, 2023. (Scopus Index)
11. Tejaswini, Pallapothala, Priyanshi Singh, Monica Ramchandani, Yogesh Kumar Rathore, and Rekh Ram Janghel. "Rice leaf disease classification using CNN." In IOP Conference Series: Earth and Environmental Science, vol. 1032, no. 1, p. 012017. IOP Publishing, 2022. (Scopus Index)
12. Kumar, Prithvi Raj, Raj Kiran, Uday Pratap Singh, Yogesh Rathore, and Rekh Ram Janghel. "Rice leaf disease detection using mobile net and inception V. 3." In 2022 IEEE 11th international conference on communication systems and network technologies (CSNT), pp. 282-286. IEEE, 2022. (Scopus Index)
13. Kumar, Avinash, Ashish Rajanand, Anurag Deep Kujur, Yogesh Rathore, and Rekh Ram Janghel. "Segmentation of rice seedling using deep learning algorithm." In 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT), pp. 164-168. IEEE, 2022. (Scopus Index)
14. Rajak, Prince, Yogesh Rathore, Rekh Ram Janghel, and Saroj Kumar Pandey. "Rice Leaf Disease Identification Using Transfer Learning." In International Conference on Machine Intelligence and Signal Processing, pp. 449-461. Singapore: Springer Nature Singapore, 2022. (Scopus Index)
15. Bhartiya, Varun Pramod, Rekh Ram Janghel, and Yogesh Kumar Rathore. "Rice leaf disease prediction using machine learning." In 2022 second international conference on power, control and computing technologies (ICPC2T), pp. 1-5. IEEE, 2022. (Scopus Index)
16. Jaiswal, Avisha, Saurabh Pathak, Yogesh Kumar Rathore, and Rekh Ram Janghel. "Detection of disease from leaf of vegetables and fruits using deep learning technique." In Advances in Biomedical Engineering and Technology: Select Proceedings of ICBEST 2018, pp. 199-206. Singapore: Springer Singapore, 2020. (Scopus Index)
17. Garg, Rishu, Rekh Ram Janghel, and Yogesh Rathore. "Enhancing learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer’s disease." In International Conference on Automation, Signal Processing, Instrumentation and Control, pp. 1055-1063. Singapore: Springer Nature Singapore, 2020. (Scopus Index)
18. Janghel, Rekh Ram, Archana Verma, and Yogesh Kumar Rathore. "Performance comparison of machine learning techniques for epilepsy classification and detection in EEG signal." In Data Management, Analytics and Innovation: Proceedings of ICDMAI 2019, Volume 1, pp. 425-438. Singapore: Springer Singapore, 2019. (Scopus Index)
19. Paswan, Sachin, and Yogesh Rathore. "Recognition and Arrangement of Blood Cancer from Microscopic Cell Pictures Utilizing Support Vector Machine, K-Nearest Neighbor and Deep Learning." In 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT), pp. 525-530. IEEE, 2018. (Scopus Index)
20. Ali, Syed Zishan, and Yogesh Rathore. "An effective and efficient algorithm for cross-level frequent pattern mining." In 2014 International Conference on Advances in Engineering & Technology Research (ICAETR-2014), pp. 1-6. IEEE, 2014. (Scopus Index).
21. Rathore, Yogesh Kumar, Avinash Dhole, and Ram Nivas Giri “An effective method for transferring color to grayscale image using luminance and texture matching without human intervention” at the IEEE International Conference of Computer Engineering and Technology, Jodhpur (Rajasthan). 13-14, Nov 2010 and published in the conference proceedings, E-92-95. (IEEE)