| Machine learning techniques for medical diagnosis of diabetes using iris images P Samant, R Agarwal Computer methods and programs in biomedicine 157, 121-128, 2018 | 173 | 2018 |
| Latest Tools for Data Mining and Machine Learning K Verma, S Bhardwaj, R Arya, S Islam, M, M Bhushan, A Kumar, ... International Journal of Innovative Technology and Exploring Engineering 8 …, 2019 | 156 | 2019 |
| Machine learning techniques for predicting metamaterial microwave absorption performance: a comparison P Jain, H Chhabra, U Chauhan, K Prakash, P Samant, DK Singh, ... IEEE Access 11, 128774-128783, 2023 | 36 | 2023 |
| Classifying and resolving software product line redundancies using an ontological first-order logic rule based method M Bhushan, JÁG Duarte, P Samant, A Kumar, A Negi Expert Systems with Applications 168, 114167, 2021 | 30 | 2021 |
| Prediction of students’ academic performance using Machine Learning Techniques U Verma, C Garg, M Bhushan, P Samant, A Kumar, A Negi 2022 International Mobile and Embedded Technology Conference (MECON), 151-156, 2022 | 29 | 2022 |
| A classification and systematic review of product line feature model defects M Bhushan, A Negi, P Samant, S Goel, A Kumar Software Quality Journal 28, 1507-1550, 2020 | 26 | 2020 |
| Analysis of computational techniques for diabetes diagnosis using the combination of iris-based features and physiological parameters P Samant, R Agarwal Neural Computing and Applications 31 (12), 8441-8453, 2019 | 23 | 2019 |
| Diagnosis of Diabetes Using Computer Methods: Soft Computing Methods for Diabetes Detection Using Iris P Samant, R Agarwal International Journal of Medical, Health, Biomedical, Bioengineering and …, 2017 | 21 | 2017 |
| Comparative analysis of classification based algorithms for diabetes diagnosis using iris images P Samant, R Agarwal Journal of Medical Engineering & Technology 35 (1), 35-42, 2018 | 20 | 2018 |
| Identifying quality attributes of FODA and DSSA methods in domain analysis using a case study M Bhushan, A Kumar, P Samant, S Bansal, S Tiwari, A Negi 2021 10th International Conference on System Modeling & Advancement in …, 2021 | 18 | 2021 |
| Condition monitoring of machinery: A case study P Samant, M Bhushan, A Kumar, R Arya, S Tiwari, S Bansal 2021 6th International Conference on Signal Processing, Computing and …, 2021 | 15 | 2021 |
| A survey on automatic printed circuit board defect detection techniques N Aggarwal, M Deshwal, P Samant 2022 2nd International Conference on Advance Computing and Innovative …, 2022 | 13 | 2022 |
| Big five personality traits prediction using brain signals R Arya, A Kumar, M Bhushan, P Samant International Journal of Fuzzy System Applications (IJFSA) 11 (2), 1-10, 2022 | 11 | 2022 |
| Real-time speech recognition system for prosthetic arm control P Samant, R Agarwal International. Journal of .Sensing, Computing & Control 5 (1), 39-46, 2015 | 9 | 2015 |
| Artificial Intelligence for Iris-Based Diagnosis in Healthcare R Agarwal, P Samant, A Bansal, R Agarwal Handbook of Metrology and Applications, 2023 | 8 | 2023 |
| A hybrid filtering-based retinal blood vessel segmentation algorithm P Samant, A Bansal, R Agarwal Computer Vision and Machine Intelligence in Medical Image Analysis …, 2020 | 6 | 2020 |
| Order reduction mechanism for large-scale continuous-time systems using substructure preservation with dominant mode SK Tiwari, P Samant, M Shinhmar, G Kaur Sādhanā 45, 1-9, 2020 | 3 | 2020 |
| Enhanced Discrete Cosine Transformation feature based iris recognition using various scanning techniques P Samant, R Agarwal, A Bansal IEEE UPCON, 2017 | 3 | 2017 |
| D-Drive: Decentralized Storage Space using Blockchain and IPFS Protocol S Shinde, A Srivastava, P Samant, A Singh, S Singh, R Chaudhary International Journal for Research in Applied Science & Engineering …, 2023 | 2 | 2023 |
| Methods to Detect Breast Cancer Using Traditional Machine Learning Technique N Aggarwal, P Samant, S Bansal, M Bhushan, S Kohli 2023 International Conference on Computational Intelligence and Sustainable …, 2023 | 1 | 2023 |
Megha BhushanUniversidad de Seville, SpainAdresse e-mail validée de us.es