Malignant tumor detection using machine learning through scikit-learn A Agarwal, A Saxena International Journal of Pure and Applied Mathematics 119 (15), 2863-2874, 2018 | 18 | 2018 |
Evolution of mHealth eco-system: a step towards personalized medicine M Saxena, A Saxena International Conference on Innovative Computing and Communications …, 2020 | 16 | 2020 |
Java Server Pages A Saxena MJP 1, 1-447, 2012 | 16* | 2012 |
Industry application of green manufacturing: A critical review A Saxena, A Srivastava Journal of Sustainability and Environmental Management 1 (1), 32-45, 2022 | 15 | 2022 |
Implementation of cloud computing and big data with Java based web application A Saxena, N Kaushik, N Kaushik, A Dwivedi Computing for Sustainable Global Development (INDIACom), 2016 3rd …, 2016 | 15 | 2016 |
Artificial intelligence and machine learning in healthcare A Saxena, S Chandra Springer, 2021 | 14 | 2021 |
Big data and artificial intelligence for healthcare applications A Saxena, N Brault, S Rashid CRC Press, 2021 | 13 | 2021 |
Comparing machine learning algorithms to predict diabetes in women and visualize factors affecting it the most—a step toward better health care for women A Agarwal, A Saxena International Conference on Innovative Computing and Communications …, 2020 | 13 | 2020 |
mHealth for mental health M Saxena, A Deo, A Saxena International Conference on Innovative Computing and Communications …, 2021 | 11 | 2021 |
Medical data analysis using machine learning with KNN S Mohanty, A Mishra, A Saxena International Conference on Innovative Computing and Communications …, 2021 | 11 | 2021 |
Handling big data using MapReduce over hybrid cloud A Saxena, A Chaurasia, N Kaushik, N Kaushik International Conference on Innovative Computing and Communications …, 2019 | 11 | 2019 |
Analysis of Hadoop and Map Reduce Tectonics through Hive in Big Data S Jain, A Gupta, A Saxena International Journal of control theory and application 9 (23), 191-199, 2016 | 11 | 2016 |
Heuristic approach towards COVID-19: Big data analytics and classification with natural language processing S Mohanty, R Sharma, M Saxena, A Saxena Data Analytics and Management: Proceedings of ICDAM, 775-791, 2021 | 10 | 2021 |
Analysis of machine learning algorithms and obtaining highest accuracy for prediction of diabetes in women A Agarwal, A Saxena 2019 6th International Conference on Computing for Sustainable Global …, 2019 | 10 | 2019 |
Implementing and analyzing big data techniques with spring framework in Java & J2EE A Saxena, N Kaushik, N Kaushik Second International Conference on Information and Communication Technology …, 2016 | 10 | 2016 |
Predicting the outcome of an election results using sentiment analysis of machine learning A Saxena, N Kushik, A Chaurasia, N Kaushik International Conference on Innovative Computing and Communications …, 2020 | 9 | 2020 |
Two hop blockchain model: resonating between proof of work (PoW) and proof of authority (PoA) A A Avasthi, A Saxena International Journal of Information Systems & Management Science 1 (1), 2018 | 9 | 2018 |
Analysis of big data using apache spark M Chand, C Shakya, GS Saggu, D Saha, IK Shreshtha, A Saxena 4th International conference on computing for sustainable global development …, 2017 | 9 | 2017 |
Handling Multithreading Approach Using Java N Goel, V Laxmi, A Saxena International Journal of Computer Science Trends and Technology (IJCST) 3 (3 …, 2015 | 9 | 2015 |
Analysis of diabetes and heart disease in big data using MapReduce framework MK Saluja, I Agarwal, U Rani, A Saxena International Conference on Innovative Computing and Communications …, 2021 | 8 | 2021 |