| Source and channel coding in wireless sensor networks using LDPC codes M Sartipi, F Fekri 2004 First Annual IEEE Communications Society Conference on Sensor and Ad …, 2004 | 112 | 2004 |
| Energy-efficient data acquisition in wireless sensor networks using compressed sensing M Sartipi, R Fletcher 2011 Data Compression Conference, 223-232, 2011 | 86 | 2011 |
| Distributed source coding in wireless sensor networks using LDPC coding: the entire Slepian-Wolf rate region M Sartipi, F Fekri IEEE Wireless Communications and Networking Conference, 2005 4, 1939-1944, 2005 | 85 | 2005 |
| Reinforcement learning interpretation methods: A survey A Alharin, TN Doan, M Sartipi IEEE Access 8, 171058-171077, 2020 | 76 | 2020 |
| Distributed source coding using short to moderate length rate-compatible LDPC codes: the entire Slepian-Wolf rate region M Sartipi, F Fekri IEEE Transactions on communications 56 (3), 400-411, 2008 | 70 | 2008 |
| Energy anomaly detection with forecasting and deep learning K Hollingsworth, K Rouse, J Cho, A Harris, M Sartipi, S Sozer, ... 2018 IEEE international conference on big data (Big Data), 4921-4925, 2018 | 43 | 2018 |
| Identification of OFDM-based radios under rayleigh fading using RF-DNA and deep learning MKM Fadul, DR Reising, M Sartipi IEEE Access 9, 17100-17113, 2021 | 40 | 2021 |
| What do people want in a smart city? Exploring the stakeholders’ opinions, priorities and perceived barriers in a medium-sized city in the United States C Del-Real, C Ward, M Sartipi International Journal of Urban Sciences 27 (sup1), 50-74, 2023 | 38 | 2023 |
| Real-time fall risk assessment using functional reach test B Williams, B Allen, Z Hu, H True, J Cho, A Harris, N Fell, M Sartipi International journal of telemedicine and applications 2017, 2017 | 37 | 2017 |
| Fall recognition using wearable technologies and machine learning algorithms A Harris, H True, Z Hu, J Cho, N Fell, M Sartipi 2016 IEEE international conference on big data (big data), 3974-3976, 2016 | 35 | 2016 |
| Mlk smart corridor: An urban testbed for smart city applications A Harris, J Stovall, M Sartipi 2019 IEEE International Conference on Big Data (Big Data), 3506-3511, 2019 | 25 | 2019 |
| Efficient and secure communications in smart cities using edge, caching, and blockchain K Kotobi, M Sartipi 2018 IEEE international smart cities conference (ISC2), 1-6, 2018 | 25 | 2018 |
| Non-intrusive A/C load disaggregation using deep learning J Cho, Z Hu, M Sartipi 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 1-5, 2018 | 21 | 2018 |
| A real-time, mobile timed up and go system B Williams, B Allen, H True, N Fell, D Levine, M Sartipi 2015 IEEE 12th International Conference on Wearable and Implantable Body …, 2015 | 20 | 2015 |
| Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee J Roland, PD Way, C Firat, TN Doan, M Sartipi Accident Analysis & Prevention 149, 105860, 2021 | 19 | 2021 |
| Hospital discharge disposition of stroke patients in Tennessee JS Cho, Z Hu, N Fell, GW Heath, R Qayyum, M Sartipi Southern medical journal 110 (9), 594, 2017 | 19 | 2017 |
| Functional measurement post-stroke via mobile application and body-worn sensor technology N Fell, HH True, B Allen, A Harris, J Cho, Z Hu, M Sartipi, KK Place, ... Mhealth 5, 2019 | 17 | 2019 |
| Evaluation of fall risk for post-stroke patients using bluetooth low-energy wireless sensor B Allen, R Derveloy, K Lowry, H Handley, N Fell, W Gasior, G Yu, ... 2013 IEEE Global Communications Conference (GLOBECOM), 2598-2603, 2013 | 15 | 2013 |
| Distributed source coding in wireless sensor networks using LDPC codes: a non-uniform framework M Sartipi, F Fekri Data Compression Conference, 477, 2005 | 15 | 2005 |
| Predicting post-stroke hospital discharge disposition using interpretable machine learning approaches J Cho, A Alharin, Z Hu, N Fell, M Sartipi 2019 IEEE International Conference on Big Data (Big Data), 4817-4822, 2019 | 13 | 2019 |
