Hybrid Model Featuring CNN and LSTM Architecture for Human Activity Recognition on Smartphone Sensor Data

Research article (2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2019) · cited 56× · AI/ML
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Hybrid Model Featuring CNN and LSTM Architecture for Human Activity Recognition on Smartphone Sensor Data

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Hybrid Model Featuring CNN and LSTM Architecture for Human Activity Recognition on Smartphone Sensor Data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid Model Featuring CNN and LSTM Architecture for Human Activity Recognition on Smartphone Sensor Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-model-featuring-cnn-and-lstm-architecture-for-human-activity-recognition-on-smartphone-sensor-data
MLA “Hybrid Model Featuring CNN and LSTM Architecture for Human Activity Recognition on Smartphone Sensor Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-model-featuring-cnn-and-lstm-architecture-for-human-activity-recognition-on-smartphone-sensor-data.
BibTeX @misc{4ortxyz_hybrid-model-featuring-cnn-and-lstm-architecture-for-human-activity-recognition-on-smartphone-sensor-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid Model Featuring CNN and LSTM Architecture for Human Activity Recognition on Smartphone Sensor Data}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-model-featuring-cnn-and-lstm-architecture-for-human-activity-recognition-on-smartphone-sensor-data}, note = {Accessed: 2026-05-24}}
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