| Handbook of Dynamic Data Driven Applications Systems: Volume 1 EP Blasch, F Darema, S Ravela, AJ Aved Springer Nature, 2022 | 180 | 2022 |
| Situational awareness: techniques, challenges, and prospects A Munir, A Aved, E Blasch AI 3 (1), 55-77, 2022 | 130 | 2022 |
| Information fusion in a cloud computing era: a systems-level perspective B Liu, Y Chen, A Hadiks, E Blasch, A Aved, D Shen, G Chen IEEE Aerospace and Electronic Systems Magazine 29 (10), 16-24, 2014 | 127 | 2014 |
| Blendmas: A blockchain-enabled decentralized microservices architecture for smart public safety R Xu, SY Nikouei, Y Chen, E Blasch, A Aved 2019 IEEE International Conference on Blockchain (Blockchain), 564-571, 2019 | 105 | 2019 |
| Context aided video-to-text information fusion E Blasch, J Nagy, A Aved, EK Jones, WM Pottenger, A Basharat, A Hoogs, ... 17th International Conference on Information Fusion (FUSION), 1-8, 2014 | 90 | 2014 |
| Real-time index authentication for event-oriented surveillance video query using blockchain SY Nikouei, R Xu, D Nagothu, Y Chen, A Aved, E Blasch 2018 IEEE International Smart Cities Conference (ISC2), 1-8, 2018 | 86 | 2018 |
| Artificial intelligence and data fusion at the edge A Munir, E Blasch, J Kwon, J Kong, A Aved IEEE Aerospace and Electronic Systems Magazine 36 (7), 62-78, 2021 | 75 | 2021 |
| Methods of AI for multimodal sensing and action for complex situations E Blasch, R Cruise, A Aved, U Majumder, T Rovito AI Magazine 40 (4), 50-65, 2019 | 67 | 2019 |
| Intrusion detection for IoT devices based on RF fingerprinting using deep learning J Bassey, D Adesina, X Li, L Qian, A Aved, T Kroecker 2019 Fourth International Conference on Fog and mobile edge computing (FMEC …, 2019 | 61 | 2019 |
| FogSurv: A fog-assisted architecture for urban surveillance using artificial intelligence and data fusion A Munir, J Kwon, JH Lee, J Kong, E Blasch, AJ Aved, K Muhammad IEEE Access 9, 111938-111959, 2021 | 48 | 2021 |
| Detecting malicious false frame injection attacks on surveillance systems at the edge using electrical network frequency signals D Nagothu, Y Chen, E Blasch, A Aved, S Zhu Sensors 19 (11), 2424, 2019 | 45 | 2019 |
| Electric load forecasting model using a multicolumn deep neural networks AO Hoori, A Al Kazzaz, R Khimani, Y Motai, AJ Aved IEEE Transactions on Industrial Electronics 67 (8), 6473-6482, 2019 | 44 | 2019 |
| Video-based activity analysis using the L1 tracker on VIRAT data E Blasch, Z Wang, H Ling, K Palaniappan, G Chen, D Shen, A Aved, ... 2013 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2013 | 40 | 2013 |
| Dynamic Data Driven Applications Systems: Third International Conference, DDDAS 2020, Boston, MA, USA, October 2-4, 2020, Proceedings F Darema, E Blasch, S Ravela, A Aved Springer Nature, 2020 | 36 | 2020 |
| Multiview boosting with information propagation for classification J Peng, AJ Aved, G Seetharaman, K Palaniappan IEEE transactions on neural networks and learning systems 29 (3), 657-669, 2017 | 36 | 2017 |
| Decentralized smart surveillance through microservices platform SY Nikouei, R Xu, Y Chen, A Aved, E Blasch Sensors and systems for space applications XII 11017, 160-175, 2019 | 34 | 2019 |
| Multi-int query language for dddas designs AJ Aved, EP Blasch Procedia Computer Science 51, 2518-2532, 2015 | 34 | 2015 |
| Enable fair proof-of-work (pow) consensus for blockchains in iot by miner twins (mint) Q Qu, R Xu, Y Chen, E Blasch, A Aved Future Internet 13 (11), 291, 2021 | 31 | 2021 |
| A general framework for managing and processing live video data with privacy protection AJ Aved, KA Hua Multimedia systems 18 (2), 123-143, 2012 | 30 | 2012 |
| Dynamic data-driven application system (DDDAS) for video surveillance user support EP Blasch, AJ Aved Procedia Computer Science 51, 2503-2517, 2015 | 28 | 2015 |
Erik BlaschAir Force Research LaboratoryDirección de correo verificada de wpafb.af.mil
