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Priya
2025/MDU01/CUS2334
Thesis Writing
SR-00051/2025
Computer Science
Scopus-Q3
Dharani
Journal Team Lead
Narmatha
Journal Executive

Journal Status
  • You will assist in writing and organizing thesis chapters according to the guidelines.

Journal Status
  • We have carefully addressed the reviewers’ suggestions by enhancing the security analysis, optimizing the authentication protocol, and clarifying implementation details with experimental results.
  • You will assist in writing and organizing thesis chapters according to the guidelines.

Journal Status
  • We have carefully addressed the reviewers’ suggestions by enhancing the security analysis of the PQCAIE scheme, optimizing the authentication protocol for better efficiency in IoT environments, and clarifying the implementation details with additional experimental results.
  • You will assist in writing and organizing thesis chapters according to the guidelines.

Journal Status
  • We have carefully addressed the reviewers’ suggestions by enhancing the security analysis of the PQCAIE scheme, optimizing the authentication protocol for better efficiency in IoT environments, and clarifying the implementation details with additional experimental results.
  • You will assist in writing and organizing thesis chapters according to the guidelines.

Journal Status
  • Thank you for your valuable feedback and the opportunity to submit our work. We understand the concerns raised and will use the suggestions to significantly improve our research. We hope to address these issues thoroughly and consider resubmission in the future.
  • We have carefully addressed the reviewers’ suggestions by enhancing the security analysis of the PQCAIE scheme, optimizing the authentication protocol for better efficiency in IoT environments, and clarifying the implementation details with additional experimental results.
  • You will assist in writing and organizing thesis chapters according to the guidelines.

Journal Status
  • TinyWolf — Efficient On-device TinyML Training for IoT using Enhanced Grey Wolf Optimization presents a lightweight, adaptive training framework tailored for resource-constrained IoT devices. By enhancing Grey Wolf Optimization, we achieve faster convergence and improved model accuracy directly on edge devices.
    TinyWolf — Efficient on-device TinyML training for IoT using enhanced Grey Wolf Optimization
    Khwaja Mansoor, Mehreen Afzal, Waseem Iqbal, Yawar Abbas, Shynar Mussiraliyeva, Abdellah Chehri
  • Thank you for your valuable feedback and the opportunity to submit our work. We understand the concerns raised and will use the suggestions to significantly improve our research. We hope to address these issues thoroughly and consider resubmission in the future.
  • We have carefully addressed the reviewers’ suggestions by enhancing the security analysis of the PQCAIE scheme, optimizing the authentication protocol for better efficiency in IoT environments, and clarifying the implementation details with additional experimental results.
  • You will assist in writing and organizing thesis chapters according to the guidelines.
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