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Kiril Danilchenko
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Journal Articles
- 2023
- [j4]Kiril Danilchenko, Zeev Nutov, Michael Segal:
Covering Users With QoS by a Connected Swarm of Drones: Graph Theoretical Approach and Experiments. IEEE/ACM Trans. Netw. 31(6): 2483-2498 (2023) - [j3]Kiril Danilchenko, Zeev Nutov, Michael Segal:
Doing their best: How to provide service by limited number of drones? Wirel. Networks 29(1): 209-220 (2023) - 2022
- [j2]Kiril Danilchenko, Rina Azoulay, Shulamit Reches, Yoram Haddad:
Deep learning method for delay minimization in MANET. ICT Express 8(1): 7-10 (2022) - 2018
- [j1]Yehuda Ben-Shimol, Shlomo Greenberg, Kiril Danilchenko:
Application-Layer Approach for Efficient Smart Meter Reading in Low-Voltage PLC Networks. IEEE Trans. Commun. 66(9): 4249-4258 (2018)
Conference and Workshop Papers
- 2023
- [c9]Chen Ben Tolila, Yarden Hovav, Kiril Danilchenko, Hadassa Daltrophe:
Blockchain-Enabled Car Sharing Platform: Enhancing Reliability and Vehicle History Management. BRAINS 2023: 1-4 - [c8]Kiril Danilchenko, Nir Lazmi, Michael Segal:
Online Learning Framework for Radio Link Failure Prediction in FANETs. FedCSIS 2023: 41-48 - [c7]Kiril Danilchenko, Gil Kedar, Michael Segal:
Reinforcement Learning Based Routing For Deadline-Driven Wireless Communication. WiMob 2023: 30-35 - 2022
- [c6]Kiril Danilchenko, Michael Segal, Dan Vilenchik:
Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms. ICWSM 2022: 125-134 - [c5]Kiril Danilchenko, Michael Segal:
TDMA Frame Length Minimization by Deep Learning for Swarm Communication. IWCMC 2022: 617-622 - 2021
- [c4]Kiril Danilchenko, Michael Segal:
An Efficient Connected Swarm Deployment via Deep Learning. FedCSIS 2021: 1-7 - [c3]Rina Azoulay, Kiril Danilchenko, Yoram Haddad, Shulamit Reches:
Transmission Power Control using Deep Neural Networks in TDMA-based Ad-hoc Network Clusters. IWCMC 2021: 406-411 - 2020
- [c2]Kiril Danilchenko, Michael Segal, Zeev Nutov:
Covering Users by a Connected Swarm Efficiently. ALGOSENSORS 2020: 32-44 - [c1]Kiril Danilchenko, Michael Segal:
Connected Ad-Hoc swarm of drones. DroNet@MobiSys 2020: 4:1-4:6
Informal and Other Publications
- 2022
- [i2]Kiril Danilchenko, Michael Segal, Dan Vilenchik:
Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms. CoRR abs/2205.13422 (2022) - 2019
- [i1]Kiril Danilchenko, Michael Segal:
Construction and Maintenance of Swarm Drones. CoRR abs/1912.06360 (2019)
Coauthor Index
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