| Developing an edge computing platform for real-time descriptive analytics H Cao, M Wachowicz, S Cha Big Data (Big Data), 2017 IEEE International Conference on, 4546-4554, 2017 | 56* | 2017 |
| Analytics everywhere: generating insights from the internet of things H Cao, M Wachowicz, C Renso, E Carlini IEEE Access 7, 71749-71769, 2019 | 53 | 2019 |
| An edge-fog-cloud architecture of streaming analytics for internet of things applications H Cao, M Wachowicz Sensors 19 (16), 3594, 2019 | 48 | 2019 |
| The role of an IoT platform in the design of real-time recommender systems S Cha, MP Ruiz, M Wachowicz, LH Tran, H Cao, I Maduako 2016 IEEE 3rd world forum on Internet of Things (WF-IoT), 448-453, 2016 | 44 | 2016 |
| The design of an IoT-GIS platform for performing automated analytical tasks H Cao, M Wachowicz Computers, Environment and Urban Systems 74, 23-40, 2019 | 42 | 2019 |
| Toward a new approach for massive LiDAR data processing VH Cao, KX Chu, NA Le-Khac, MT Kechadi, D Laefer, L Truong-Hong 2015 2nd IEEE International Conference on Spatial Data Mining and …, 2015 | 27 | 2015 |
| Implementing an edge-fog-cloud architecture for stream data management L Hernandez, H Cao, M Wachowicz Fog World Congress (FWC), 2017 IEEE, 1-6, 2017 | 21 | 2017 |
| Indoor occupancy prediction using an IoT platform A Parise, MA Manso-Callejo, H Cao, M Mendonca, H Kohli, M Wachowicz 2019 Sixth International Conference on Internet of Things: Systems …, 2019 | 15 | 2019 |
| An edge-fog-cloud platform for anticipatory learning process designed for internet of mobile things H Cao, M Wachowicz, C Renso, E Carlini arXiv preprint arXiv:1711.09745, 2017 | 15 | 2017 |
| Analytics everywhere for streaming iot data H Cao, M Wachowicz 2019 Sixth International Conference on Internet of Things: Systems …, 2019 | 12 | 2019 |
| A holistic overview of anticipatory learning for the internet of moving things: research challenges and opportunities H Cao, M Wachowicz ISPRS International Journal of Geo-Information 9 (4), 272, 2020 | 10 | 2020 |
| Lessons learned from integrating batch and stream processing using IoT data H Cao, M Brown, L Chen, R Smith, M Wachowicz 2019 Sixth International Conference on Internet of Things: Systems …, 2019 | 8 | 2019 |
| EVStationSIM: An end-to-end platform to identify and interpret similar clustering patterns of EV charging stations across multiple time slices R Richard, H Cao, M Wachowicz Applied Energy 322, 119491, 2022 | 7 | 2022 |
| The design of a streaming analytical workflow for processing massive transit feeds H Cao, M Wachowicz The 2nd International Symposium on Spatiotemporal Computing, 2017 | 7 | 2017 |
| Langxai: Integrating large vision models for generating textual explanations to enhance explainability in visual perception tasks TTH Nguyen, T Clement, PTL Nguyen, N Kemmerzell, VB Truong, ... The 33rd International Joint Conference on Artificial Intelligence (IJCAI …, 2024 | 6 | 2024 |
| Discovering EV Recharging Patterns through an Automated Analytical Workflow R Richard, H Cao, M Wachowicz 2020 IEEE International Smart Cities Conference (ISC2), 1-8, 2020 | 6 | 2020 |
| Developing an Analytics Everywhere framework for the Internet of Things in Smart City Applications H Cao University of New Brunswick, 2019 | 6 | 2019 |
| Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer QK Nguyen, TTH Nguyen, VTK Nguyen, VB Truong, T Phan, H Cao The 37th Canadian Conference on Artificial Intelligence (Canadian AI 2024), 2024 | 5 | 2024 |
| Fostering new vertical and horizontal IoT applications with intelligence everywhere H Cao, M Wachowicz, R Richard, CH Hsu Collective Intelligence 2 (4), 26339137231208966, 2023 | 5 | 2023 |
| Combining edge and cloud computing for mobility analytics I Maduako, H Cao, L Hernandez, M Wachowicz Proceedings of the Second ACM/IEEE Symposium on Edge Computing, 1-3, 2017 | 4 | 2017 |
Monica WachowiczRMIT UniversityVerified email at rmit.edu.au
