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Muhammad Ahmad Rathore
Muhammad Ahmad Rathore
Northwestern University Feinberg School of Medicine
Подтвержден адрес электронной почты в домене northwestern.edu
Название
Процитировано
Процитировано
Год
Detecting malicious urls using lexical analysis
MSI Mamun, MA Rathore, AH Lashkari, N Stakhanova, AA Ghorbani
Network and System Security: 10th International Conference, NSS 2016, Taipei …, 2016
2332016
Edge intelligence in softwarized 6G: Deep learning-enabled network traffic predictions
S Zeb, MA Rathore, A Mahmood, SA Hassan, JW Kim, M Gidlund
2021 IEEE Globecom Workshops (GC Wkshps), 1-6, 2021
332021
Towards AI-enabled NextG Networks with Edge Intelligence-assisted Microservice Orchestration
GF Shah Zeb, Muhammad Ahmad Rathore, Syed Ali Hassan, Saleem Raza, Kapal Dev
IEEE Wireless Communications 30 (3), 148 - 156, 2023
192023
The Emerging Role of Artificial Intelligence in Healthcare
MAR Farooq Azam Rathore
The Journal of the Pakistan Medical Association 73 (7), 1368-1369, 2023
15*2023
Enhancing the efficiency of electric vehicles charging stations based on novel fuzzy integer linear programming
S Hussain, RR Irshad, F Pallonetto, Q Jan, S Shukla, S Thakur, JG Breslin, ...
IEEE Transactions on Intelligent Transportation Systems 24 (9), 9150-9164, 2023
142023
Maintaining SmartX Multi-View Visibility for OF@TEIN+ Distributed Cloud-native Edge Boxes
JWK Muhammad Ahmad Rathore, Muhammad Usman
Transactions on Emerging Telecommunications Technologies 32 (6), 2020
9*2020
SmartX multi-view visibility framework with flow-centric visibility for SDN-enabled multisite cloud playground
M Usman, M Ahmad Rathore, JW Kim
Applied Sciences 9 (10), 2045, 2019
62019
A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset
S Liu, M Amgad, MA Rathore, R Salgado, LAD Cooper
MedRxiv, 2022.01. 08.22268814, 2022
52022
A panoptic segmentation dataset and deep-learning approach for explainable scoring of tumor-infiltrating lymphocytes
S Liu, M Amgad, D More, MA Rathore, R Salgado, LAD Cooper
npj Breast Cancer 10 (1), 52, 2024
32024
Integrating Machine Learning for Network Threat Detection with SmartX Multi-Sec Framework
T Farasat, MA Rathore, JW Kim
2023 International Conference on Information Networking (ICOIN), 347-351, 2023
32023
BGP traffic volume forecasting using LSTM framework
T Farasat, MA Rathore, A Khan, S Park, JW Kim
Proceedings of the 17th International Conference on emerging Networking …, 2021
32021
Integrating active monitoring for restricted topology-awareness of SmartX multi-view playground visibility
MA Rathore, M Usman, JW Kim
Proceedings of the 13th International Conference on Future Internet …, 2018
32018
Securing Kubernetes Pods communicating over Weave Net through eBPF/XDP from DDoS attacks
T Farasat, MA Rathore, JW Kim
Proceedings of the Thirteenth ACM Conference on Data and Application …, 2023
22023
Spatio-temporal summarized visualization of smartX multi-view visibility in cloud-native edge boxes
MA Rathore, J Kim
Computer Science and Information Systems 2020 18 (00), 34-34, 2020
22020
Comparing IO Visor and Pcap for Security Inspection of Traced Packets from SmartX Box
JWK Muhammad Ahmad Rathore, Aris Cahyadi Risdianto, Taekho Nam
Advances in Computer Science and Ubiquitous Computing, 2017
2*2017
Machine Learning-based BGP Traffic Prediction
T Farasat, MA Rathore, A Khan, JW Kim, J Posegga
2023 IEEE 22nd International Conference on Trust, Security and Privacy in …, 2023
12023
Transforming Network Management: Intent-Based Flexible Control Empowered by Efficient Flow-Centric Visibility
AC Risdianto, M Usman, MA Rathore
Future Internet 16 (7), 223, 2024
2024
Poster: SmartX BGP BVT: A First Real-Time BGP Blackholing Visibility Tool
T Farasat, MA Rathore, Z Asim, A Khan, JW Kim, J Posegga
Proceedings of the 2023 ACM on Internet Measurement Conference, 710-711, 2023
2023
RNN-based Prediction for Multi-Cryptocurrency Price Correlation
W Rahman, MA Rathore, I Ahmed, HN Lee
Korea Information and Communication Equipment Society Conference, 60-60, 2021
2021
Poster: BGP Traffic Volume Forecasting using LSTM Framework
T Farasat, MA Rathore, A Khan, S Park, JW Kim
2021
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Статьи 1–20