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LightGBM-RF: A Hybrid Model for Anomaly Detection in Smart Building · Peerford

conference paper · Publication · 2022

LightGBM-RF: A Hybrid Model for Anomaly Detection in Smart Building

Otuekong Ekpo, Kate Takyi, Rose-Mary Owusuaa Mensah Gyening

Communications in computer and information science

Closed access

Go to the publisher 10.1007/978-981-19-8445-7_3

Citations: 1from other works
Field-weighted impact: 0.161.00 is the world average for its field and year
Among its field: 43rd percentileby citations, against works of its field and year
Authors: 3from 1 institution

Authors

3 authors

Otuekong EkpoFirst authorCorresponding
- Kwame Nkrumah University of Science and Technology (GH)
Kate Takyi
- Kwame Nkrumah University of Science and Technology (GH)
Rose-Mary Owusuaa Mensah GyeningSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Development goals

16Peace, justice and strong institutions

Country

Ghana

Fields

A work can sit in several, each with a score

Anomaly Detection Techniques and ApplicationsTopic
Network Security and Intrusion DetectionTopic
Fire Detection and Safety SystemsTopic