Optimized Embarak Algorithm (O-EPHP): Enhanced Adaptive Framework for Extracting Dominant Behavioral Patterns from Multivariate Temporal Data

Ossama Embarak. Optimized Embarak Algorithm (O-EPHP): Enhanced Adaptive Framework for Extracting Dominant Behavioral Patterns from Multivariate Temporal Data. In Elhadi M. Shakshuki, editor, The 17th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2026) / The 9th International Conference on Emerging Data and Industry 4.0 (EDI40 2026), April 14-16, 2026, Istanbul, Turkey. Volume 280 of Procedia Computer Science, pages 60-69, Elsevier, 2026. [doi]

@inproceedings{Embarak26,
  title = {Optimized Embarak Algorithm (O-EPHP): Enhanced Adaptive Framework for Extracting Dominant Behavioral Patterns from Multivariate Temporal Data},
  author = {Ossama Embarak},
  year = {2026},
  doi = {10.1016/j.procs.2026.04.009},
  url = {https://doi.org/10.1016/j.procs.2026.04.009},
  researchr = {https://researchr.org/publication/Embarak26},
  cites = {0},
  citedby = {0},
  pages = {60-69},
  booktitle = {The 17th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2026) / The 9th International Conference on Emerging Data and Industry 4.0 (EDI40 2026), April 14-16, 2026, Istanbul, Turkey},
  editor = {Elhadi M. Shakshuki},
  volume = {280},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}