| Optimized machine learning techniques enable prediction of organic dyes photophysical properties: Absorption wavelengths, emission wavelengths, and quantum yields KD Mahato, U Kumar Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 308, 123768, 2024 | 12 | 2024 |
| Heart Disease Prediction Using Different Machine Learning Algorithms A Bhowmick, KD Mahato, C Azad, U Kumar 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), 60-65, 2022 | 12 | 2022 |
| A review of organic dye based nanoparticles: preparation, properties, and engineering/technical applications KD Mahato, U Kumar Mini-Reviews in Organic Chemistry 20 (7), 655-674, 2023 | 8 | 2023 |
| Predicting Happiness Score During Covid-19 Using Machine Learning T Agarwal, KD Mahato, C Azad, U Kumar 2022 4th International Conference on Artificial Intelligence and Speech …, 2022 | 8 | 2022 |
| Stokes shift prediction of fluorescent organic dyes using machine learning based hybrid cascade models KD Mahato, SSGK Das, C Azad, U Kumar Dyes and Pigments 222, 111918, 2024 | 7 | 2024 |
| Machine learning based hybrid ensemble models for prediction of organic dyes photophysical properties: Absorption wavelengths, emission wavelengths, and quantum yields KD Mahato, SS Kumar Das, C Azad, U Kumar APL Machine Learning 2 (1), 2024 | 6 | 2024 |
| A comparative study of conventional FRET and light harvesting properties of Rh-110/Rh-6G and Rh-19/Rh-B organic dye pairs impregnated in sol-gel glasses KD Mahato, U Kumar Methods and Applications in Fluorescence 11 (3), 035003, 2023 | 6 | 2023 |
| Breast Cancer Prediction Using Different Machine Learning Algorithms: A Comparative Study C Saini, KD Mahato, C Azad, U Kumar 2023 International Conference on Artificial Intelligence and Applications …, 2023 | 5 | 2023 |
| Heart Disease Prediction Using Different Boosting Models SSGK Das, KD Mahato, C Azad, U Kumar 2023 International Conference on Advanced & Global Engineering Challenges …, 2023 | 3 | 2023 |
| Liver Disease Prediction Using Different Machine Learning Algorithms A Kumar, KD Mahato, C Azad, U Kumar 2023 International Conference on Advanced & Global Engineering Challenges …, 2023 | 3 | 2023 |
| Predicting Förster critical distance using machine learning techniques KD Mahato, SS Das, C Azad, U Kumar AIP Conference Proceedings 3198 (1), 2025 | | 2025 |
| Absorption and emission maxima prediction of fluorescent organic materials using optimized neural network models KD Mahato IOP Conference Series: Materials Science and Engineering 1316 (1), 012011, 2024 | | 2024 |
| Prediction of Organic Dyes Absorption Wavelength Using Different Machine Learning Boosting Models KD Mahato, SSGK Das, C Azad, U Kumar AIJR Abstracts, 13, 2024 | | 2024 |
| Stokes Shift Prediction of Fluorescent Organic Dyes Using Machine Learning Regression Techniques KD Mahato Available at SSRN 4667356, 2023 | | 2023 |
| Organic Dye Nanoparticles as an Alternative to Carbon Emission-Based Energy KD Mahato IEEE REGION 10 NEWSLETTER ON CLIMATE CHANGE 2023 ISSUE 02 | APRIL, 2023 | | 2023 |
| Breast Cancer Prediction Using Oversampling Technique, Particle Swarm Optimization, and Fuzzy Logic KD Mahato, C Saini, SSGK Das, A Kumar, C Azad, U Kumar | | |
Uday KumarAssistant Professor, Department of Physics, National Institute Of Technology Jamshedpur, IndiaVerified email at nitjsr.ac.in