| Generative adversarial network: An overview of theory and applications A Aggarwal, M Mittal, G Battineni International Journal of Information Management Data Insights 1 (1), 100004, 2021 | 524 | 2021 |
| An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier S Kumari, D Kumar, M Mittal International Journal of Cognitive Computing in Engineering 2, 40-46, 2021 | 332 | 2021 |
| Big data and machine learning based secure healthcare framework P Kaur, M Sharma, M Mittal Procedia computer science 132, 1049-1059, 2018 | 232 | 2018 |
| Deep learning based enhanced tumor segmentation approach for MR brain images M Mittal, LM Goyal, S Kaur, I Kaur, A Verma, DJ Hemanth Applied Soft Computing 78, 346-354, 2019 | 220 | 2019 |
| An efficient edge detection approach to provide better edge connectivity for image analysis M Mittal, A Verma, I Kaur, B Kaur, M Sharma, LM Goyal, S Roy, TH Kim IEEE access 7, 33240-33255, 2019 | 202 | 2019 |
| Adoption of artificial intelligence in smart cities: A comprehensive review H Herath, M Mittal International Journal of Information Management Data Insights 2 (1), 100076, 2022 | 183 | 2022 |
| Gastrointestinal diseases segmentation and classification based on duo-deep architectures MA Khan, MA Khan, F Ahmed, M Mittal, LM Goyal, DJ Hemanth, ... Pattern Recognition Letters 131, 193-204, 2020 | 151 | 2020 |
| Detecting pneumonia using convolutions and dynamic capsule routing for chest X-ray images A Mittal, D Kumar, M Mittal, T Saba, I Abunadi, A Rehman, S Roy Sensors 20 (4), 1068, 2020 | 139 | 2020 |
| ARM–AMO: An efficient association rule mining algorithm based on animal migration optimization F Chiclana, R Kumar, M Mittal, M Khari, JM Chatterjee, SW Baik Knowledge-Based Systems 154, 68-80, 2018 | 117 | 2018 |
| Deep learning techniques for biomedical and health informatics S Dash, BR Acharya, M Mittal, A Abraham, A Kelemen Springer International Publishing, 2020 | 104 | 2020 |
| Reliability and energy efficient workflow scheduling in cloud environment R Garg, M Mittal, LH Son Cluster Computing 22 (4), 1283-1297, 2019 | 96 | 2019 |
| Clustering approaches for high‐dimensional databases: A review M Mittal, LM Goyal, DJ Hemanth, JK Sethi Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (3 …, 2019 | 94 | 2019 |
| Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification F Saeed, MA Khan, M Sharif, M Mittal, LM Goyal, S Roy Applied Soft Computing 103, 107164, 2021 | 93 | 2021 |
| Estimating the prevalence of stress among Indian students during the COVID-19 pandemic: A cross-sectional study from India B Chhetri, LM Goyal, M Mittal, G Battineni Journal of Taibah University Medical Sciences 16 (2), 260-267, 2021 | 86 | 2021 |
| Monitoring the impact of economic crisis on crime in India using machine learning M Mittal, LM Goyal, JK Sethi, DJ Hemanth Computational Economics 53, 1467-1485, 2019 | 86 | 2019 |
| Fake news detection using a blend of neural networks: An application of deep learning A Agarwal, M Mittal, A Pathak, LM Goyal SN Computer Science 1, 1-9, 2020 | 83 | 2020 |
| A hierarchical three-step superpixels and deep learning framework for skin lesion classification F Afza, M Sharif, M Mittal, MA Khan, DJ Hemanth Methods 202, 88-102, 2022 | 79 | 2022 |
| Diabetic retinopathy diagnosis from retinal images using modified hopfield neural network DJ Hemanth, J Anitha, LH Son, M Mittal Journal of medical systems 42 (12), 247, 2018 | 73 | 2018 |
| Corona Virus - SARS-CoV-2: An Insight to Another way of Natural Disaster S Chawla, M Mittal, M Chawla, LM Goyal EAI Endorsed Transactions on Pervasive Health and Technology 6 (22), 2020 | 70 | 2020 |
| Classification of Fake News by Fine-tuning Deep Bidirectional Transformers based Language Model A Aggarwal, A Chauhan, D Kumar, M Mittal, S Verma EAI Endorsed Transactions on Scalable Information Systems 7 (25), 2020 | 56 | 2020 |
Jude HemanthProfessor & Head, Department of ECE, Karunya University在 karunya.edu 的电子邮件经过验证
