A heterogeneous ensemble forecasting model for disease prediction N Sharma, J Dev, M Mangla, VM Wadhwa, SN Mohanty, D Kakkar New Generation Computing, 1-15, 2021 | 60 | 2021 |
Real-life applications of the Internet of Things: Challenges, applications, and advances M Mangla, A Kumar, V Mehta, M Bhushan, SN Mohanty CRC Press, 2022 | 36 | 2022 |
Handbook of Research on Machine Learning: Foundations and Applications M Mangla, SK Shinde, V Mehta, N Sharma, SN Mohanty CRC Press, 2022 | 24 | 2022 |
Proposed framework for fog computing to improve quality-of-service in IoT applications R Akhare, M Mangla, S Deokar, V Wadhwa Fog Data Analytics for IoT Applications: Next Generation Process Model with …, 2020 | 16 | 2020 |
Optimization of De Jong’s function using genetic algorithm approach M Kapoor, V Wadhwa International Journal of Advanced Research in Computer Science and …, 2012 | 12 | 2012 |
Heart Disease Prediction and Classification using Machine Learning and Transfer Learning Model R Sivaprasad, M Hema, BN Ganar, DM Sunil, V Mehta, M Fahlevi 2022 International Conference on Automation, Computing and Renewable Systems …, 2022 | 9 | 2022 |
Automatic building detection using modified grab cut algorithm from high resolution satellite image M Khurana, V Wadhwa Int J Adv Res Comput Commun Eng 4 (8), 158-164, 2015 | 8 | 2015 |
Statistical analysis for air quality assessment and evaluation: a data mining approach M Mangla, N Sharma, V Mehta, SN Mohanty, K Saxena 2021 9th International Conference on Reliability, Infocom Technologies and …, 2021 | 5 | 2021 |
Employing machine learning for multi-perspective emotional health analysis M Mangla, R Akhare, S Deokar, V Mehta Emotion and Information Processing: A Practical approach, 199-211, 2020 | 5 | 2020 |
Jaiditya Dev, Monika Mangla, Vaishali Mehta Wadhwa, Sachi Nandan Mohanty, and Deepti Kakkar. A heterogeneous ensemble forecasting model for disease prediction N Sharma New Generation Computing 39 (3-4), 701-715, 2021 | 4 | 2021 |
A comparative analysis of PMX, POS and OX crossover operators for solving. S Goel, V Wadhwa International Journal of Latest Research in Science and Technology 2 (2), 80-83, 2013 | 4 | 2013 |
Proposed algorithm for optimization of job scheduling in multiprocessor systems using genetic approach K Nagpal, V Wadhwa International Journal of Computer Applications and Information Technology …, 2012 | 4 | 2012 |
Emerging Technologies for Healthcare: Internet of Things and Deep Learning Models M Mangla, N Sharma, P Garg, V Wadhwa, K Thirunavukkarasu, S Khan John Wiley & Sons, 2021 | 3 | 2021 |
Multivariate economic analysis of the government policies and COVID-19 on financial sector M Mangla, N Sharma, S Yadav, V Mehta, D Kakkar, P Kandukuri International Journal of Computer Applications in Technology 66 (3-4), 294-302, 2021 | 3 | 2021 |
Facility location problem using Genetic algorithm: a review V Wadhwa, D Garg Research Journal of Computer Systems and Engineering–RJCSE 2 (2), 2011 | 3 | 2011 |
Machine Learning based Exploratory Data Analysis (EDA) and Diagnosis of Chronic Kidney Disease (CKD) V Mehta, N Batra, S Goyal, A Kaur, KV Dudekula, GJ Victor EAI Endorsed Transactions on Pervasive Health and Technology 10, 2024 | 2 | 2024 |
Genetic algorithm Approach for Optimal CPU Scheduling P Sindhwani, V Wadhwa IJCST 2 (2), 92-95, 2011 | 2 | 2011 |
Uses And Challenges of Deep Learning Models for Covid-19 Diagnosis and Prediction VM Wadhwa, M Mangla, R Aneja, M Chawla, A Sarkar Challenges and Opportunities for Deep Learning Applications in Industry 4.0, 67, 2022 | 1 | 2022 |
A systematic review of deep learning techniques for semantic image segmentation: methods, future directions, and challenges AS Pall, N Sharma, KP Sharma, V Wadhwa Handbook of research on machine learning, 49-86, 2022 | 1 | 2022 |
Fake News Predictor Model-Based on Machine Learning and Natural Language Processing P Bhartiya, S Yadav, V Wadhwa, P Mittal Handbook of Research on Machine Learning, 479-501, 2022 | 1 | 2022 |