State Duration Modeling

State Duration Modeling is a method within the framework of Hidden Markov Models that explicitly characterizes the probability distribution of the number of time steps a system remains in a particular state, thereby enhancing the temporal modeling capability beyond the implicit geometric duration assumption of standard Markovian transitions.

98

Publications

5K

Citations

284

Authors

168

Institutions

Publications per year

2017–2026

15

Authors

284

  1. TK
    Takao Kobayashi

    Tokyo Institute of Technology, Japan

    6 publications · 272 citations

    6

    h-index

  2. TM
    Takashi Masuko

    Kindai University, Japan

    5 publications · 289 citations

    5

    h-index

  3. AB
    Abdallah Benouareth

    Badji Mokhtar-Annaba University, Algeria

    4 publications · 159 citations

    4

    h-index

  4. JY
    Junichi Yamagishi

    University of Edinburgh, United Kingdom

    4 publications · 220 citations

    4

    h-index

  5. HZ
    Heiga Zen

    Nagoya Institute of Technology, Japan

    4 publications · 249 citations

    4

    h-index

1–5 of 284

Venues

  1. 5

    h-index

  2. IEICE Transactions on Information and Systems

    5 publications · 443 citations

    5

    h-index

  3. IEEE Transactions on Signal Processing

    3 publications · 231 citations

    3

    h-index

  4. IEEE Transactions on Power Systems

    2 publications · 242 citations

    3

    h-index

  5. 2

    h-index

1–5