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ORCIDMLN 2021: Virtual Event
- Éric Renault
, Selma Boumerdassi, Paul Mühlethaler:
Machine Learning for Networking - 4th International Conference, MLN 2021, Virtual Event, December 1-3, 2021, Proceedings. Lecture Notes in Computer Science 13175, Springer 2022, ISBN 978-3-030-98977-4 - Ching-Lung Fan:
Evaluation of Machine Learning Methods for Image Classification: A Case Study of Facility Surface Damage. 1-10 - Abdullah Soliman Alshra'a, Jochen Seitz:
One-Dimensional Convolutional Neural Network for Detection and Mitigation of DDoS Attacks in SDN. 11-28 - Konrad-Felix Krentz, Alex Kangas, Thiemo Voigt:
Multi-Armed Bandit-Based Channel Hopping: Implementation on Embedded Devices. 29-47 - Nageswara S. V. Rao, Anees Al-Najjar, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Cross Inference of Throughput Profiles Using Micro Kernel Network Method. 48-68 - Chibueze Victor Oha, Fathima Shakoora Farouk, Pujan Pankaj Patel, Prithvi Meka, Sowmya Nekkanti, Bhageerath Nayini, Smit Xavier Carvalho, Nisarg Desai, Manishkumar Patel, Sergey Butakov:
Machine Learning Models for Malicious Traffic Detection in IoT Networks /IoT-23 Dataset/. 69-84 - Nicholas Lurski, Mohamed F. Younis:
Application and Mitigation of the Evasion Attack against a Deep Learning Based IDS for IoT. 85-97 - Sheng Shen, Mariam Kiran, Bashir Mohammed:
DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering. 98-116 - Paulo Gustavo Quinan, Issa Traoré, Ujwal Reddy Gondhi, Isaac Woungang:
Unsupervised Anomaly Detection Using a New Knowledge Graph Model for Network Activity and Events. 117-130 - Afsane Zahmatkesh, Chung-Horng Lung:
Deep Reinforcement Learning for Cost-Effective Controller Placement in Software-Defined Multihop Wireless Networking. 131-147 - Mira Abboud, Charbel Nicolas, Gilbert Habib:
Distance Estimation Using LoRa and Neural Networks. 148-159
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