Iot Data Preprocessing
IoT Data Preprocessing is a data management procedure that transforms raw sensor-generated data into a clean, structured, and analyzable format by addressing issues such as noise, missing values, redundancy, and heterogeneity inherent in Internet of Things environments.
60
Publications
2.9K
Citations
204
Authors
133
Institutions
Publications per year
2017–2026
54
Parents
60
An Ensemble Multi-View Federated Learning Intrusion Detection for IoT
Dinesh Chowdary Attota, Viraaji Mothukuri, Reza M. Parizi et al. · IEEE Access · 2021 · 169 citations · Full text
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Bangladesh University of Engineering and Technology, Bangladesh
2 publications · 100 citations
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1–5 of 204
133
Kyung Hee University
Seoul, South Korea
2 h-index
4 publications
304 citations
Islamic Azad University, Science and Research Branch
Tehran, Iran
2 h-index
4 publications
352 citations

École de Technologie Supérieure
Montreal, Canada
2 h-index
5 publications
198 citations
University of Human Development
Sulaymaniyah, Iraq
2 h-index
2 publications
176 citations

Universidade Federal de Juiz de Fora
Juiz de Fora, Brazil
2 h-index
2 publications
51 citations
Princess Nourah bint Abdulrahman University
Riyadh, Saudi Arabia
2 h-index
2 publications
82 citations

Gazi University
Ankara, Turkey
2 h-index
1 publications
48 citations
Sri Eshwar College of Engineering
Coimbatore, India
1 h-index
1 publications
14 citations
1–8 of 133
5 publications · 286 citations
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4 publications · 252 citations
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FGCS · 4 publications · 126 citations
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3 publications · 202 citations
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1 publications · 30 citations
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