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Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor.
Khatun, Mst Alema; Yousuf, Mohammad Abu; Ahmed, Sabbir; Uddin, Md Zia; Alyami, Salem A; Al-Ashhab, Samer; Akhdar, Hanan F; Khan, Asaduzzaman; Azad, Akm; Moni, Mohammad Ali.
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  • Khatun MA; Institute of Information TechnologyJahangirnagar University Savar Dhaka 1342 Bangladesh.
  • Yousuf MA; Institute of Information TechnologyJahangirnagar University Savar Dhaka 1342 Bangladesh.
  • Ahmed S; Institute of Information TechnologyJahangirnagar University Savar Dhaka 1342 Bangladesh.
  • Uddin MZ; SINTEF Digital 0373 Oslo Norway.
  • Alyami SA; Department of Mathematics and StatisticsFaculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh 13318 Saudi Arabia.
  • Al-Ashhab S; Department of Mathematics and StatisticsFaculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh 13318 Saudi Arabia.
  • Akhdar HF; Department of PhysicsFaculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh 13318 Saudi Arabia.
  • Khan A; School of Health and Rehabilitation SciencesFaculty of Health and Behavioural Sciences, The University of Queensland Saint Lucia QLD 4072 Australia.
  • Azad A; Faculty of ScienceEngineering & Technology, Swinburne University of Technology Sydney Parramatta NSW 2150 Australia.
  • Moni MA; ProCan®Faculty of Medicine and Health, Children's Medical Research Institute, The University of Sydney Westmead NSW 2145 Australia.
IEEE J Transl Eng Health Med ; 10: 2700316, 2022.
Article en En | MEDLINE | ID: mdl-35795873
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Dispositivos Electrónicos Vestibles Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: IEEE J Transl Eng Health Med Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Dispositivos Electrónicos Vestibles Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: IEEE J Transl Eng Health Med Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos