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A Novel Hybrid Deep Learning Model for Human Activity Recognition Based on Transitional Activities.
Irfan, Saad; Anjum, Nadeem; Masood, Nayyer; Khattak, Ahmad S; Ramzan, Naeem.
Affiliation
  • Irfan S; Department of Computer Science, Capital University of Science and Technology, Islamabad 44000, Pakistan.
  • Anjum N; Department of Computer Science, Capital University of Science and Technology, Islamabad 44000, Pakistan.
  • Masood N; Department of Computer Science, Capital University of Science and Technology, Islamabad 44000, Pakistan.
  • Khattak AS; Department of Computer Science, COMSATS University, Islamabad 45550, Pakistan.
  • Ramzan N; School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley PA1 2BE, UK.
Sensors (Basel) ; 21(24)2021 Dec 09.
Article in En | MEDLINE | ID: mdl-34960321
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Affiliation country: Pakistan Country of publication: Switzerland
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Affiliation country: Pakistan Country of publication: Switzerland