Search Results - "Mayer, Kayol S"

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  1. 1

    Demonstration of ML-Assisted Soft-Failure Localization Based on Network Digital Twins by Mayer, Kayol S., Pinto, Rossano P., Soares, Jonathan A., Arantes, Dalton S., Rothenberg, Christian E., Cavalcante, Vinicius, Santos, Leonardo L., Moraes, Filipe D., Mello, Darli A. A.

    Published in Journal of lightwave technology (15-07-2022)
    “…In optical transport networks, failure localization is usually triggered as a response to alarms and significant anomalous behaviors. However, the recent…”
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    Journal Article
  2. 2

    Machine-learning-based soft-failure localization with partial software-defined networking telemetry by Mayer, Kayol S., Soares, Jonathan A., Pinto, Rossano P., Rothenberg, Christian E., Arantes, Dalton S., Mello, Darli A. A.

    “…Soft-failure localization frameworks typically use if-else rules to localize failures based on the received telemetry data. However, in certain cases,…”
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    Journal Article
  3. 3

    Discrete-time ℋ2 and ℋ∞ poly-quadratic filter designs for polytopic LPV systems by de Oliveira, Matheus S., Mayer, Kayol S., Pereira, Renan L.

    Published in International journal of systems science (27-07-2022)
    “…This paper addresses novel discrete-time and filter designs for polytopic linear parameter-varying (LPV) systems. A less conservative approach is employed to…”
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    Journal Article
  4. 4

    RosenPy: An open source Python framework for complex-valued neural networks by Cruz, Ariadne A., Mayer, Kayol S., Arantes, Dalton S.

    Published in SoftwareX (01-12-2024)
    “…Deep learning is an essential artificial intelligence tool broadly used in engineering, physics, data science, biology, healthcare, agribusiness, finance, and…”
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    Journal Article
  5. 5

    On the Computational Complexities of Complex-Valued Neural Networks by Mayer, Kayol S., Soares, Jonathan A., Cruz, Ariadne A., Arantes, Dalton S.

    “…Complex-valued neural networks (CVNNs) are nonlinear filters used in the digital signal processing of complex-domain data. Compared with real-valued neural…”
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    Conference Proceeding
  6. 6

    Chat-IBN-RASA: Building an Intent Translator for Packet-Optical Networks based on RASA by Cesila, Celso H., Pinto, Rossano P., Mayer, Kayol S., Escallon-Portilla, Andres F., Mello, Darli A. A., Arantes, Dalton S., Rothenberg, Christian E.

    “…This work presents Chat-IBN-RASA, a conversational AI chatbot based on the open-source RASA framework, acting as an Intent Translator component for…”
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    Conference Proceeding
  7. 7

    DNN-based QoT Estimation Using Topological Inputs and Training with Synthetic-Physical Data by Mayer, Kayol S., Dos Santos, Luan C. M., Pinto, Rossano P., Dal Maso, Marcos P. A., Rothenberg, Christian E., Arantes, Dalton S., Mello, Darli A. A.

    Published in 2023 IEEE Photonics Conference (IPC) (12-11-2023)
    “…We propose a DNN-based QoT estimation technique that operates on a network-wide scale. The DNN training data is composed of connection paths, frequency slots,…”
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    Conference Proceeding
  8. 8

    A deep neural network model for link failure identification in multi-path ROADM based networks by Shimizu, Denis Y., Mayer, Kayol S., Soares, Jonathan A., Arantes, Dalton S.

    Published in 2020 Photonics North (PN) (01-05-2020)
    “…Critical telecommunications infrastructures, such as the modern Datacenters and 5G networks, require a reconfigurable optical add/drop multiplexer (ROADM)…”
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    Conference Proceeding
  9. 9

    High data-rates and high-order DP-QAM optical links can be efficiently implemented with concurrent equalization by Mayer, Kayol S., Moreira, Veruska R., Soares, Jonathan A., Arantes, Dalton S.

    Published in 2020 Photonics North (PN) (01-05-2020)
    “…Optical communication systems operating with high data-rates and dual-polarization are invariably disrupted by chromatic and polarization mode dispersions…”
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    Conference Proceeding
  10. 10
  11. 11

    On the Parameter Selection of Phase-transmittance Radial Basis Function Neural Networks for Communication Systems by Soares, Jonathan A, Mayer, Kayol S, Arantes, Dalton S

    Published 14-08-2024
    “…IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2024) In the ever-evolving field of digital communication systems,…”
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    Journal Article
  12. 12

    On the Parameter Selection of Phase-transmittance Radial Basis Function Neural Networks for Communication Systems by Soares, Jonathan A., Mayer, Kayol S., Arantes, Dalton S.

    “…In the ever-evolving field of digital communication systems, complex-valued neural networks (CVNNs) have become a cornerstone, delivering exceptional…”
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    Conference Proceeding
  13. 13

    Deep Complex-valued Radial Basis Function Neural Networks and Parameter Selection by Soares, Jonathan A, Luiz, Vinícius H, Arantes, Dalton S, Mayer, Kayol S

    Published 15-08-2024
    “…In the ever-evolving field of artificial neural networks and learning systems, complex-valued neural networks (CVNNs) have become a cornerstone, achieving…”
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    Journal Article
  14. 14

    Deep Complex-valued Radial Basis Function Neural Networks and Parameter Selection by Soares, Jonathan A., Luiz, Vinicius H., Arantes, Dalton S., Mayer, Kayol S.

    “…In the ever-evolving field of artificial neural networks and learning systems, complex-valued neural networks (CVNNs) have become a cornerstone, achieving…”
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    Conference Proceeding
  15. 15

    Packet-Optical Differentiated Survivability Implemented by P4 Slices and gNMI Telemetry by Pinto, Rossano P., Mayer, Kayol S., Arantes, Dalton S., Mello, Darli A. A., Rothenberg, Christian E.

    “…We demonstrate a packet-optical differentiated survivability mechanism implemented in P4 switches using gNMI telemetry. The controller detects the premium…”
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    Conference Proceeding
  16. 16

    When Digital Twins Meet Optical Networks Operations by Mello, Darli A. A., Mayer, Kayol S., Escallon-Portilla, Andres F., Arantes, Dalton S., Pinto, Rossano P., Rothenberg, Christian E.

    “…We discuss the potential of deploying a network digital twin to support future data-driven optical networks implementing advanced telemetry. Use cases of…”
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    Conference Proceeding
  17. 17

    Network-wide QoT Estimation Using SGD with Gradient Transfer Between Wavelengths by Mayer, Kayol S., Soares, Jonathan A., Dal Maso, Marcos P. A., Rothenberg, Christian E., Arantes, Dalton S., Mello, Darli A. A.

    “…We propose an SGD-based QoT estimation technique that operates on a network-wide scale by transferring gradients among neighboring wavelengths. Simulation…”
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    Conference Proceeding
  18. 18

    Demonstration of Packet-Optical Intent-Based Survivability Using Mininet-Optical by Pinto, Rossano P., Cesila, Celso H., Mayer, Kayol S., Portilla, Andres F. E., Arantes, Dalton S., Mello, Darli A. A., Rothenberg, Christian E.

    “…We demonstrate packet-optical intent-based networking with survivability in-tents in a Mininet-Optical testbed. The intent agent negotiates intents with users…”
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    Conference Proceeding
  19. 19

    Demonstration of Machine-Intelligent Soft-Failure Localization Using SDN Telemetry by Pinto, Rossano P., Mayer, Kayol S., Soares, Jonathan A., Arantes, Dalton S., Mello, Darli A. A., Cavalcante, Vinicius, Santos, Leonardo L., Moraes, Filipe D., Rothenberg, Christian E.

    “…We demonstrate a soft-failure localization framework using SDN-based network-wide telemetry. Soft failures are generated in a small-scale laboratory…”
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    Conference Proceeding
  20. 20

    Soft Failure Localization Using Machine Learning with SDN-based Network-wide Telemetry by Mayer, Kayol S., Soares, Jonathan A., Pinto, Rossano P., Rothenberg, Christian E., Arantes, Dalton S., Mello, Darli A. A.

    “…Targeting soft failure localization, we present a machine learning approach using SDN streaming telemetry of network-wide parameters. The artificial neural…”
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    Conference Proceeding