Research output

Research output per year 2018 2020 2021 2023 2023

• 6 Conference article in proceedings
• 3 Article
• 1 Doctoral Thesis

Research output per year

Research output per year

Search results

• 2023

  An AI-based Framework to Optimize Mobile Services

  Naas, S.-A., 2023, Aalto University. 268 p.

  Research output: Thesis › Doctoral Thesis › Collection of Articles

  Open Access

  • Artificial Intelligence 100%
  • Service 37%
  • Virtual Reality 37%
  • Knowledge-Sharing 25%
  • Customer Satisfaction 25%

• Fast converging Federated Learning with Non-IID Data

  Naas, S. A. & Sigg, S., 2023, 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. IEEE, (IEEE Vehicular Technology Conference; vol. 2023-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Models 100%
  • Federated Learning 100%
  • Machine Learning 40%
  • Accuracy 40%
  • Server 40%
  2 Citations (Scopus)

  44 Downloads (Pure)

• Knowledge Sharing in AI Services: A Market-based Approach

  Mohammed, T., Naas, S.-A., Sigg, S. & Francesco, M. D., 15 Jan 2023, In: IEEE Internet of Things Journal. 10, 2, p. 1320-1331 12 p., 9891736.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Artificial Intelligence 100%
  • Deep Neural Network 100%
  • Service 100%
  • Knowledge-Sharing 100%
  • Accuracy 50%
  2 Citations (Scopus)

  188 Downloads (Pure)
• 2022

  Privacy-preserving federated learning based on multi-key homomorphic encryption

  Ma, J., Naas, S.-A., Sigg, S. & Lyu, X., Sept 2022, In: International Journal of Intelligent Systems. 37, 9, p. 5880-5901 22 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Privacy Preserving 100%
  • Homomorphic Encryption 100%
  • Federated Learning 100%
  • Models 75%
  • Server 50%
  136 Citations (Scopus)

  422 Downloads (Pure)
• 2021

  A global brain fuelled by local intelligence: Optimizing mobile services and networks with AI

  Naas, S. A., Mohammed, T. & Sigg, S., Apr 2021, Proceedings of 16th International Conference on Mobility, Sensing and Networking (MSN 2020). IEEE, p. 23-32 10 p. 9394314

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Artificial Intelligence 100%
  • Communication 100%
  • Networks 100%
  • Service 100%
  • Models 20%
  2 Citations (Scopus)

  144 Downloads (Pure)

• Real-time emotion recognition for sales

  Naas, S. A. & Sigg, S., Apr 2021, Proceedings of 16th International Conference on Mobility, Sensing and Networking (MSN 2020). IEEE, p. 584-591 8 p. 9394292

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Emotion Recognition 100%
  • Models 40%
  • Recognition Accuracy 40%
  • Deep Neural Network 20%
  • Accuracy 20%
  7 Citations (Scopus)

  241 Downloads (Pure)

• Sharing geotagged pictures for an Emotion-based Recommender System

  Hitz, A., Naas, S. A. & Sigg, S., 25 May 2021, 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021. IEEE, p. 68-73 6 p. 9430978. (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Recommender Systems 100%
  • User 33%
  • Evaluation Study 16%
  • e-Commerce 16%
  1 Citation (Scopus)

  114 Downloads (Pure)
• 2020

  Functional Gaze Prediction in Egocentric Video

  Naas, S.-A., Jiang, X., Sigg, S. & Ji, Y., 30 Nov 2020, 18th International Conference on Advances in Mobile Computing and Multimedia, MoMM2020 - Proceedings. Haghighi, P. D., Salvadori, I. L., Steinbauer, M., Khalil, I. & Kotsis, G. (eds.). ACM, p. 40-47 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Computational Load 100%
  • Virtual Reality 50%
  • Resource Consumption 50%
  • Network Resource 50%
  • Mounted Display 50%
  3 Citations (Scopus)

  282 Downloads (Pure)

• SVP: Sinusoidal Viewport Prediction for 360-Degree Video Streaming

  Jiang, X., Naas, S. A., Chiang, Y.-H., Sigg, S. & Ji, Y., 2020, In: IEEE Access. 8, p. 164471-164481 11 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Video Streaming 100%
  • Prediction Accuracy 75%
  • Simulation 50%
  • Service 25%
  • Probability 25%
  110 Downloads (Pure)
• 2018

  Scheduled Communications in Next Generation Mobile Networks

  Taleb, T., Bagaa, M. & Naas, S.-A., 2018, 2018 IEEE Global Communications Conference, GLOBECOM 2018. IEEE, 6 p. (IEEE Global Communications Conferences).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Communication 100%
  • Mobile Network 100%
  • Generation 100%
  • Networks 66%
  • User 66%
  1 Citation (Scopus)

  277 Downloads (Pure)