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Hamada Rizk
Hamada Rizk
Associate Professor, Senior Member IEEE, ACM, IPSJ
在 ist.osaka-u.ac.jp 的电子邮件经过验证
标题
引用次数
引用次数
年份
WiDeep: WiFi-based accurate and robust indoor localization system using deep learning
M Abbas, M Elhamshary, H Rizk, M Torki, M Youssef
2019 IEEE International Conference on Pervasive Computing and Communications …, 2019
2972019
CellinDeep: Robust and accurate cellular-based indoor localization via deep learning
H Rizk, M Torki, M Youssef
IEEE Sensors Journal 19 (6), 2305-2312, 2018
1222018
Effectiveness of data augmentation in cellular-based localization using deep learning
H Rizk, A Shokry, M Youssef
2019 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2019
852019
Monodcell: A ubiquitous and low-overhead deep learning-based indoor localization with limited cellular information
H Rizk, M Youssef
Proceedings of the 27th ACM SIGSPATIAL international conference on advances …, 2019
472019
A robust and accurate indoor localization using learning-based fusion of Wi-Fi RTT and RSSI
H Rizk, A Elmogy, H Yamaguchi
Sensors 22 (7), 2700, 2022
382022
Omnicells: Cross-device cellular-based indoor location tracking using deep neural networks
H Rizk, M Abbas, M Youssef
2020 IEEE International Conference on Pervasive Computing and Communications …, 2020
372020
A hybrid outlier detection algorithm based on partitioning clustering and density measures
H Rizk, S Elgokhy, A Sarhan
2015 Tenth International Conference on Computer Engineering & Systems (ICCES …, 2015
372015
Device-independent cellular-based indoor location tracking using deep learning
H Rizk, M Abbas, M Youssef
Pervasive and Mobile Computing 75, 101420, 2021
352021
Gain without pain: Enabling fingerprinting-based indoor localization using tracking scanners
H Rizk, H Yamaguchi, M Youssef, T Higashino
Proceedings of the 28th International Conference on Advances in Geographic …, 2020
342020
Device-invariant cellular-based indoor localization system using deep learning
H Rizk
The ACM MobiSys 2019 on Rising Stars Forum, 19-23, 2019
292019
Solocell: Efficient indoor localization based on limited cell network information and minimal fingerprinting
H Rizk
Proceedings of the 27th ACM SIGSPATIAL international conference on advances …, 2019
262019
A ubiquitous and accurate floor estimation system using deep representational learning
H Rizk, H Yamaguchi, T Higashino, M Youssef
Proceedings of the 28th International Conference on Advances in Geographic …, 2020
232020
Laser range scanners for enabling zero-overhead wifi-based indoor localization system
H Rizk, H Yamaguchi, M Youssef, T Higashino
ACM Transactions on Spatial Algorithms and Systems 9 (1), 1-25, 2023
212023
You work we care: Sitting posture assessment based on point cloud data
H Katayama, T Mizomoto, H Rizk, H Yamaguchi
2022 IEEE International Conference on Pervasive Computing and Communications …, 2022
202022
Drone-based water level detection in flood disasters
H Rizk, Y Nishimur, H Yamaguchi, T Higashino
International journal of environmental research and public health 19 (1), 237, 2021
202021
Ofcod: On the fly clustering based outlier detection framework
A Elmogy, H Rizk, AM Sarhan
Data 6 (1), 1, 2020
192020
Deep learning-based floor prediction using cell network information
K Alkiek, A Othman, H Rizk, M Youssef
Proceedings of the 28th International Conference on Advances in Geographic …, 2020
192020
An accurate point cloud-based human identification using micro-size lidar
S Yamada, H Rizk, H Yamaguchi
2022 IEEE International Conference on Pervasive Computing and Communications …, 2022
182022
Smartwatch-based face-touch prediction using deep representational learning
H Rizk, T Amano, H Yamaguchi, M Youssef
International Conference on Mobile and Ubiquitous Systems: Computing …, 2021
182021
Monofi: Efficient indoor localization based on single radio source and minimal fingerprinting
I Fahmy, S Ayman, H Rizk, M Youssef
Proceedings of the 29th International Conference on Advances in Geographic …, 2021
182021
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