| A comprehensive review on automation in agriculture using artificial intelligence K Jha, A Doshi, P Patel, M Shah Artificial Intelligence in Agriculture 2, 1-12, 2019 | 933 | 2019 |
| Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides T Talaviya, D Shah, N Patel, H Yagnik, M Shah Artificial Intelligence in Agriculture 4, 58-73, 2020 | 689 | 2020 |
| A comparative analysis of logistic regression, random forest and KNN models for the text classification K Shah, H Patel, D Sanghvi, M Shah Augmented Human Research 5 (1), 12, 2020 | 477 | 2020 |
| An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN) M Desai, M Shah Clinical eHealth 4, 1-11, 2021 | 318 | 2021 |
| A comprehensive comparative study of artificial neural network (ANN) and support vector machines (SVM) on stock forecasting A Kurani, P Doshi, A Vakharia, M Shah Annals of Data Science 10 (1), 183-208, 2023 | 254 | 2023 |
| Application on virtual reality for enhanced education learning, military training and sports K Ahir, K Govani, R Gajera, M Shah Augmented Human Research 5, 1-9, 2020 | 222 | 2020 |
| Artificial cognition for applications in smart agriculture: A comprehensive review M Pathan, N Patel, H Yagnik, M Shah Artificial Intelligence in Agriculture 4, 81-95, 2020 | 173 | 2020 |
| Systematic review and meta-analysis of augmented reality in medicine, retail, and games P Parekh, S Patel, N Patel, M Shah Visual computing for industry, biomedicine, and art 3, 1-20, 2020 | 171 | 2020 |
| Biometric authentication and image encryption for image security in cloud framework V Kakkad, M Patel, M Shah Multiscale and Multidisciplinary Modeling, Experiments and Design 2 (4), 233-248, 2019 | 132 | 2019 |
| Characterisation and bioremediation of wastewater: a review exploring bioremediation as a sustainable technique for pharmaceutical wastewater A Shah, M Shah Groundwater for Sustainable Development 11, 100383, 2020 | 131 | 2020 |
| The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction P Chhajer, M Shah, A Kshirsagar Decision Analytics Journal 2, 100015, 2022 | 128 | 2022 |
| Comprehensive review of text-mining applications in finance A Gupta, V Dengre, HA Kheruwala, M Shah Financial Innovation 6, 1-25, 2020 | 127 | 2020 |
| The intertwine of brain and body: a quantitative analysis on how big data influences the system of sports D Patel, D Shah, M Shah Annals of Data Science 7 (1), 1-16, 2020 | 111 | 2020 |
| Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention N Shah, N Bhagat, M Shah Visual Computing for Industry, Biomedicine, and Art 4 (1), 9, 2021 | 108 | 2021 |
| Research trends on the usage of machine learning and artificial intelligence in advertising N Shah, S Engineer, N Bhagat, H Chauhan, M Shah Augmented Human Research 5, 1-15, 2020 | 100 | 2020 |
| Artificial intelligence and machine learning in drug discovery and development V Patel, M Shah Intelligent Medicine 2 (3), 134-140, 2022 | 96 | 2022 |
| Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis H Thakkar, V Shah, H Yagnik, M Shah Clinical eHealth 4, 12-23, 2021 | 86 | 2021 |
| Preprocessing of non-symmetrical images for edge detection M Gandhi, J Kamdar, M Shah Augmented Human Research 5 (1), 10, 2020 | 84 | 2020 |
| Multi-label movie genre detection from a movie poster using knowledge transfer learning K Kundalia, Y Patel, M Shah Augmented Human Research 5 (1), 1-9, 2020 | 81 | 2020 |
| Fatigue detection using artificial intelligence framework V Parekh, D Shah, M Shah Augmented Human Research 5 (1), 5, 2020 | 80 | 2020 |
