Rehma Razzak

Orcid: 0000-0002-5301-8955

According to our database1, Rehma Razzak authored at least 9 papers between 2020 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2022
Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions.
IEEE Access, 2022

2021
Machine learning for network application security: Empirical evaluation and optimization.
Comput. Electr. Eng., 2021

Methods for Proteogenomics Data Analysis, Challenges, and Scalability Bottlenecks: A Survey.
IEEE Access, 2021

Sensor Fusion for Drone Detection.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Multimodal Machine Learning for Pedestrian Detection.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

2020
Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications.
IEEE Access, 2020

Deep Neural Networks for Detecting Real Emotions Using Biofeedback and Voice.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

A Deep Recurrent Neural Network to Support Guidelines and Decision Making of Social Distancing.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

An Adaptive Segmentation Technique to Detect Brain Tumors Using 2D Unet.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020


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