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Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment.

, , and . KDIR, page 109-120. SCITEPRESS, (2023)

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Evaluation of supervised classification algorithms for human activity recognition with inertial sensors., , and . IEEE SENSORS, page 1-3. IEEE, (2017)An Automated Precision Spraying Evaluation System., , , , and . TAROS, volume 14136 of Lecture Notes in Computer Science, page 26-37. Springer, (2023)An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks., , , , and . CISS, page 1-6. IEEE, (2019)Inertial Sensor Based Modelling of Human Activity Classes: Feature Extraction and Multi-sensor Data Fusion Using Machine Learning Algorithms., , and . eHealth 360°, volume 181 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 306-314. Springer, (2016)An Agricultural Precision Sprayer Deposit Identification System., , , , and . CASE, page 1-6. IEEE, (2023)Implementation of a batch normalized deep LSTM recurrent network on a smartphone for human activity recognition., , , , and . BHI, page 1-4. IEEE, (2019)A deep learning approach for length of stay prediction in clinical settings from medical records., , and . CIBCB, page 1-5. IEEE, (2019)Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records., and . CIBCB, page 1-5. IEEE, (2019)Human activity recognition with inertial sensors using a deep learning approach., , and . IEEE SENSORS, page 1-3. IEEE, (2016)Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks., , , and . EMBC, page 1-4. IEEE, (2018)