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Energy-based decision engine for household human activity recognition.

, , , , , , , , , и . PerCom Workshops, стр. 704-709. IEEE Computer Society, (2018)

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Viktor Vafeiadis

Anastasios Giannitsis

Anastasios Moissidis

Anastasios Maniatoglou

Anastasios Giannakis

 

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Image-based Natural Language Understanding Using 2D Convolutional Neural Networks., , , , , , , , , и 1 other автор(ы). CoRR, (2018)Machine learning for human activity detection in smart homes.. De Montfort University, Leicester, UK, (2020)British Library, EThOS.Acoustic Scene Classification: From a Hybrid Classifier to Deep Learning., , , , , , и . DCASE, стр. 123-127. (2017)Evaluating Spectral Magnitude Representation and Spectral Energy for Audio-based Activity Detection., , , , , и . MMSP, стр. 1-6. IEEE, (2021)On the Generalizability of Two-dimensional Convolutional Neural Networks for Fake Speech Detection., , , , и . MAD@ICMR, стр. 3-9. ACM, (2022)Two-Dimensional Convolutional Recurrent Neural Networks for Speech Activity Detection., , , , , , , и . INTERSPEECH, стр. 2045-2049. ISCA, (2019)Image-Based Text Classification using 2D Convolutional Neural Networks., , , , , , , , , и 1 other автор(ы). SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, стр. 144-149. IEEE, (2019)Comparing CNN and Human Crafted Features for Human Activity Recognition., , , , , , , , , и . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, стр. 960-967. IEEE, (2019)Deep Learning on Multi Sensor Data for Counter UAV Applications - A Systematic Review., , , , , , , , , и 2 other автор(ы). Sensors, 19 (22): 4837 (2019)Feature learning for Human Activity Recognition using Convolutional Neural Networks., , , , , , , , , и . CCF Trans. Pervasive Comput. Interact., 2 (1): 18-32 (2020)