Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ahmed Isam Ahmed"'
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4626 (2021)
A wide range of techniques exist to help control the thermal comfort of an occupant in indoor environments. A novel technique is presented here to adaptively estimate the occupant’s metabolic rate. This is performed by utilising occupant’s action
Externí odkaz:
https://doaj.org/article/6fb935ccd5774c538daa40596dae088a
Publikováno v:
Journal of Imaging, Vol 6, Iss 6, p 46 (2020)
Human action recognition targets recognising different actions from a sequence of observations and different environmental conditions. A wide different applications is applicable to vision based action recognition research. This can include video sur
Externí odkaz:
https://doaj.org/article/bb58905c447c4a1eba7a01e23c2e53d8
Publikováno v:
Ahmed, A I, Chiverton, J P, Ndzi, D L & Becerra, V M 2019, ' Speaker recognition using PCA-based feature transformation ', Speech Communication, vol. 110, pp. 33-46 . https://doi.org/10.1016/j.specom.2019.04.001
This paper introduces a Weighted-Correlation Principal Component Analysis (WCR-PCA) for efficient transformation of speech features in speaker recognition. A Recurrent Neural Network (RNN) technique is also introduced to perform the weighted PCA. The
Publikováno v:
Computer Speech & Language. 75:101367
Publikováno v:
2021 International Conference on Communication & Information Technology (ICICT).
Speech and image processing are fundamental components of artificial intelligence technology. Speech processing can be deployed to acquire unique features of a person's voice. These can then be used for speaker identification as well as gender and ag
Publikováno v:
Applied Sciences, Vol 11, Iss 4626, p 4626 (2021)
Al-Faris, M, Chiverton, J, Ndzi, D & Ahmed, A I 2021, ' Vision based dynamic thermal comfort control using fuzzy logic and deep learning ', Applied Sciences (Switzerland), vol. 11, no. 10, 4626 . https://doi.org/10.3390/app11104626
Applied Sciences
Volume 11
Issue 10
Al-Faris, M, Chiverton, J, Ndzi, D & Ahmed, A I 2021, ' Vision based dynamic thermal comfort control using fuzzy logic and deep learning ', Applied Sciences (Switzerland), vol. 11, no. 10, 4626 . https://doi.org/10.3390/app11104626
Applied Sciences
Volume 11
Issue 10
A wide range of techniques exist to help control the thermal comfort of an occupant in indoor environments. A novel technique is presented here to adaptively estimate the occupant’s metabolic rate. This is performed by utilising occupant’s action
Publikováno v:
Al-Faris, M M N, Chiverton, J, Ndzi, D L & Ahmed, A I 2020, ' A review on computer vision-based methods for human action recognition ', Journal of Imaging, vol. 6, 6:46 . https://doi.org/10.3390/jimaging6060046
Journal of Imaging, Vol 6, Iss 46, p 46 (2020)
Journal of Imaging
Journal of Imaging, Vol 6, Iss 46, p 46 (2020)
Journal of Imaging
Human action recognition targets recognising different actions from a sequence of observations and different environmental conditions. A wide different applications is applicable to vision based action recognition research. This can include video sur
Publikováno v:
Ahmed, A I, Chiverton, J, Ndzi, D & Becerra, V 2018, Channel variability synthesis in i-vector speaker recognition . in IET 3rd International Conference on Intelligent Signal Processing (ISP 2017) . IET Conference Publications, London, UK, pp. 1-6, IET 3rd International Conference on Intelligent Signal Processing (ISP 2017), London, United Kingdom, 4/12/17 . https://doi.org/10.1049/cp.2017.0362
Scopus-Elsevier
Scopus-Elsevier
In this paper, we are tackling a practical problem which can be faced when establishing an i-vector speaker recognition system with limited resources. This addresses the problem of lack of development data of multiple recordings for each speaker. Whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b0146dc9aa4076770bc4a41701a8f29
https://researchportal.port.ac.uk/ws/files/19481118/aajcdn_ietisp2017.pdf
https://researchportal.port.ac.uk/ws/files/19481118/aajcdn_ietisp2017.pdf