Feature Engineering For Sensor Data

Feature Engineering for Sensor Data is a domain-specific methodology within the broader field of feature engineering that systematically transforms raw sensor measurements into discriminatory and informative representations through signal processing, statistical analysis, and domain knowledge to enhance the performance of machine learning models in sensing applications.

53

Publications

2.6K

Citations

202

Authors

99

Institutions

Publications per year

2017–2026

32

Authors

202

  1. ZX
    Zhe Xie

    Tsinghua University, China

    2 publications · 214 citations

    2

    h-index

  2. HC
    Hongju Cheng

    Fuzhou University, China

    2 publications · 214 citations

    2

    h-index

  3. XL
    Xiang Li

    Xi'an Jiaotong University, China

    2 publications · 163 citations

    2

    h-index

  4. ZC
    Zhenghua Chen

    Agency for Science, Technology and Research, Singapore

    2 publications · 172 citations

    2

    h-index

  5. TB
    Tobias Baur

    Saarland University, Germany

    1 publications · 26 citations

    1

    h-index

1–5 of 202

Venues

  1. IEEE Sensors Journal

    3 publications · 81 citations

    3

    h-index

  2. IEEE Internet of Things Journal

    2 publications · 153 citations

    2

    h-index

  3. Sensors and Actuators B Chemical

    2 publications · 558 citations

    2

    h-index

  4. 2

    h-index

  5. Sensors

    2 publications · 99 citations

    2

    h-index

1–5