| Artificial intelligence techniques for predictive modeling of vector-borne diseases and its pathogens: a systematic review I Kaur, AK Sandhu, Y Kumar Archives of Computational Methods in Engineering 29 (6), 3741-3771, 2022 | 39 | 2022 |
| Analyzing and minimizing the effects of Vector-borne diseases using machine and deep learning techniques: A systematic review I Kaur, AK Sandhu, Y Kumar 2021 sixth international conference on image information processing (ICIIP …, 2021 | 20 | 2021 |
| A Comprehensive Survey of AI, Blockchain Technology and Big Data Applications in Medical Field and Global Health I Kaur, Y Kumar, AK Sandhu IEEE 2021 International Conference on Technological Advancements and …, 2022 | 12 | 2022 |
| A hybrid deep transfer learning approach for the detection of vector-borne diseases I Kaur, AK Sandhu, Y Kumar 2022 5th international conference on contemporary computing and informatics …, 2022 | 10 | 2022 |
| An effective mechanism for early chronic illness detection using multilayer convolution deep learning predictive modelling R Daid, Y Kumar, A Gupta, I Kaur 2021 International Conference on Technological Advancements and Innovations …, 2021 | 10 | 2021 |
| Foodborne disease symptoms, diagnostics, and predictions using artificial intelligence-based learning approaches: a systematic review Y Kumar, I Kaur, S Mishra Archives of Computational Methods in Engineering 31 (2), 553-578, 2024 | 6 | 2024 |
| An effective architecture for smart city using advanced protocols of internet of things I Kaur, KS Saini, J Khaira International Journal of Advanced Science and Technology 28 (19), 803-810, 2019 | 5 | 2019 |
| A Systematic Evaluation of Literature on Internet of Things (IoT) and Smart Technologies with Multiple Dimensions IK Preet, KS Saini Journal of Technology Management for Growing Economies 11 (1), 1-10, 2020 | 3 | 2020 |
| Predictive modeling of epidemic diseases based on vector-borne diseases using artificial intelligence techniques I Kaur, Y Kumar, AK Sandhu, MF Ijaz Computational intelligence in medical decision making and diagnosis, 81-100, 2023 | 2 | 2023 |
| Using Artificial Intelligence to Predict Clinical Requirements in Healthcare I Kaur, R Garg, T Kaur, G Mathur JOURNAL OF PHARMACEUTICAL NEGATIVE RESULTS https://www.pnrjournal.com/index …, 2023 | 2 | 2023 |
| Fog integrated novel architecture for telehealth services with swift medical delivery I Kaur, KS Saini, JS Khaira Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications …, 2020 | 2 | 2020 |
| Investigating the Use of Automation in Cryptocurrency Trading I Kaur, Y Chauhan, U Gupta, S Malik 2024 2nd International Conference on Disruptive Technologies (ICDT), 1558-1567, 2024 | | 2024 |
| Enhancing explainability in predicting mental health disorders using human–machine interaction I Kaur, J Kaur, SP Singh, U Gupta Multimedia Tools and Applications, 1-22, 2024 | | 2024 |
| Utilizing deep transfer learning models and data augmentation to improve image classification I Kaur, AK Sandhu, Y Kumar Mathematical Statistician and Engineering Applications 71 (3), 1923-1932, 2022 | | 2022 |
| Issues pertaining to Security and Privacy in Smart-Cities Concept I Kaur UGC (Wesleyan Journal of Research), 2020 | | 2020 |
| Cloud Amalgamated Environment with Fog Based Security in Internet of Things and Advanced Networks IK Boparai | | 2020 |
| An Effective Architecture for Smart City using Advanced Protocols of Internet of Things K Inderpreet, S Kamaljit, S Jaiteg Innovations in Computing(SCOPUS), 2019 | | 2019 |
| Cloud Integrated Fog Environment for Security and Integrity in Internet of Things (IoT) K Inderpreet, K BikramPal IEEE/BVICAM, 2019 | | 2019 |
| Fogging: The cloud-IOT/IOE middleware paradigm I Kaur | | |
| A Review of IOT Architecture, Challenges, Applications, Future Trends I Kaur | | |
