Stability Analysis of a Quantum Network with Max-Weight Scheduling
(2021)
Other
Vasantam, T., & Towsley, D. (2021). Stability Analysis of a Quantum Network with Max-Weight Scheduling
Outputs (256)
Prospective on Technical Considerations for Edge–Cloud Cooperation Using Software-Defined Networking (2021)
Book Chapter
Singh, A., Bali, R. S., & Aujla, G. S. (2021). Prospective on Technical Considerations for Edge–Cloud Cooperation Using Software-Defined Networking. In Software Defined Internet of Everything (147-176). (1). Springer, Cham. https://doi.org/10.1007/978-3-030-89328-6_9
Disjunctive Temporal Problems under Structural Restrictions (2021)
Presentation / Conference Contribution
Dabrowski, K. K., Jonsson, P., Ordyniak, S., & Osipov, G. (2021, February). Disjunctive Temporal Problems under Structural Restrictions. Presented at 35th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, CanadaThe disjunctive temporal problem (DTP) is an expressive temporal formalism that extends Dechter et al.’s simple temporal problem. The DTP is well studied in the literature and has many important applications. It is known that deciding satisfiability... Read More about Disjunctive Temporal Problems under Structural Restrictions.
MedZip: 3D medical images lossless compressor using recurrent neural network (LSTM) (2021)
Presentation / Conference Contribution
Nagoor, O. H., Whittle, J., Deng, J., Mora, B., & Jones, M. W. (2021, December). MedZip: 3D medical images lossless compressor using recurrent neural network (LSTM). Presented at 2020 25th International Conference on Pattern Recognition (ICPR) IEEE
Agent-Based Framework for Self-Organization of Collective and Autonomous Shuttle Fleets (2021)
Journal Article
Bucchiarone, A., Sanctis, M. D., & Bencomo, N. (2021). Agent-Based Framework for Self-Organization of Collective and Autonomous Shuttle Fleets. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3631-3643. https://doi.org/10.1109/tits.2020.3021592
Reward-Reinforced Reinforcement Learning for Multi-agent Systems (2021)
Journal Article
Zheng, C., Yang, S., Ullauri, J. M. P., García-Domínguez, A., & Bencomo, N. (2021). Reward-Reinforced Reinforcement Learning for Multi-agent Systems. CoRR - Computing Research Repository, abs/2103.12192,
Sensitivity of mean-field fluctuations in Erlang loss models with randomized routing (2021)
Journal Article
Vasantam, T., & Mazumdar, R. R. (2021). Sensitivity of mean-field fluctuations in Erlang loss models with randomized routing. Journal of Applied Probability, 58(2), https://doi.org/10.1017/jpr.2020.99
Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software (2021)
Presentation / Conference Contribution
Samfass, P., Weinzierl, T., Reinarz, A., & Bader, M. (2021, November). Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software. Presented at Supercomputing 21 - FTXS Workshop - 2021 IEEE/ACM 11th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS), St Louis, MOResilient algorithms in high-performance computing are subject to rigorous non-functional constraints. Resiliency must not increase the runtime, memory footprint or I/O demands too significantly. We propose a task-based soft error detection scheme th... Read More about Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software.
Optimal dispersion on an anonymous ring in the presence of weak Byzantine robots (2021)
Journal Article
Molla, A. R., Mondal, K., & Moses Jr., W. K. (2021). Optimal dispersion on an anonymous ring in the presence of weak Byzantine robots. Theoretical Computer Science, 887, https://doi.org/10.1016/j.tcs.2021.07.008
Internet of Everything: Background and Challenges (2021)
Book Chapter
Dudeja, R. K., Bali, R. S., & Aujla, G. S. (2021). Internet of Everything: Background and Challenges. In Software Defined Internet of Everything (3-16). (1). Springer, Cham. https://doi.org/10.1007/978-3-030-89328-6_1