Zobrazeno 1 - 10
of 11 108
pro vyhledávání: '"Shama AT"'
Publikováno v:
Patient Preference and Adherence, Vol Volume 17, Pp 913-926 (2023)
Dufera Rikitu Terefa, Adisu Tafari Shama Department of Public Health, Institute of Health Sciences, Wollega University, Nekemte, EthiopiaCorrespondence: Dufera Rikitu Terefa, Wollega University, P.O.Box: 395, Nekemte, Ethiopia, Tel +251-922260706, Em
Externí odkaz:
https://doaj.org/article/3f83c579ef6644b3b531bfce3931a35a
Publikováno v:
Journal of Blood Medicine, Vol Volume 13, Pp 711-724 (2022)
Adisu Tafari Shama, Gemechis Teka, Samuel Yohannes Lemu, Biftu Tesfaye, Hawi Ebisa, Dejene Seyoum Gebre, Dufera Rikitu Terefa Wollega University, Institute of Health Sciences, Department of Public Health, Nekemte, EthiopiaCorrespondence: Adisu Tafari
Externí odkaz:
https://doaj.org/article/71d8258cc75745cf9ab0a044168b0367
Autor:
Rikitu Terefa D, Shama AT, Feyisa BR, Ewunetu Desisa A, Geta ET, Chego Cheme M, Tamiru Edosa A
Publikováno v:
Infection and Drug Resistance, Vol Volume 14, Pp 5531-5541 (2021)
Dufera Rikitu Terefa, Adisu Tafari Shama, Bikila Regassa Feyisa, Adisu Ewunetu Desisa, Edosa Tesfaye Geta, Melese Chego Cheme, Afework Tamiru Edosa Department of Public Health, Institute of Health Science, Wollega University, Nekemte, EthiopiaCorresp
Externí odkaz:
https://doaj.org/article/d33e31b9af8c4606903f1b5642dd18b5
Deep learning methods are at the forefront of automated epileptic seizure detection and onset zone localization using scalp-EEG. However, the performance of deep learning methods rely heavily on the quality of annotated training datasets. Scalp EEG i
Externí odkaz:
http://arxiv.org/abs/2410.19815
The lack of an automated online platform for reporting citizens' complaints, coupled with the city corporations' struggles in managing them, presents significant challenges. Furthermore, the availability of resources is very limited to higher authori
Externí odkaz:
http://arxiv.org/abs/2410.12882
Interpersonal communication plays a key role in managing people's emotions, especially on digital platforms. Studies have shown that people use social media and consume online content to regulate their emotions and find support for rest and recovery.
Externí odkaz:
http://arxiv.org/abs/2408.07704
Autor:
Sharma, Dushyant, Fosburgh, James, Dumpala, Sri Harsha, Sastri, Chandramouli Shama, Kruchinin, Stanislav Yu., Naylor, Patrick A.
We explore the recently proposed explainable acoustic neural embedding~(XANE) system that models the background acoustics of a speech signal in a non-intrusive manner. The XANE embeddings are used to estimate specific parameters related to the backgr
Externí odkaz:
http://arxiv.org/abs/2407.06342
Autor:
Dumpala, Sri Harsha, Sharma, Dushyant, Sastri, Chandramouli Shama, Kruchinin, Stanislav, Fosburgh, James, Naylor, Patrick A.
We present a novel method for extracting neural embeddings that model the background acoustics of a speech signal. The extracted embeddings are used to estimate specific parameters related to the background acoustic properties of the signal in a non-
Externí odkaz:
http://arxiv.org/abs/2406.05199
Previous works on depression detection use datasets collected in similar environments to train and test the models. In practice, however, the train and test distributions cannot be guaranteed to be identical. Distribution shifts can be introduced due
Externí odkaz:
http://arxiv.org/abs/2404.05071
Emotion regulation is the process of consciously altering one's affective state, that is the underlying emotional state such as happiness, confidence, guilt, anger etc. The ability to effectively regulate emotions is necessary for functioning efficie
Externí odkaz:
http://arxiv.org/abs/2307.13187