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Multimedia systems

Showing results (21-30 of 35) with videos related to

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Multimedia Systems|February 7, 2022
A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networksHuseyin Yaşar, Murat Ceylan
Multimedia Systems|September 13, 2021
Self-assessment and deep learning-based coronavirus detection and medical diagnosis systems for healthcareKashif Naseer Qureshi, Adi Alhudhaif, Moazam Ali, et al.
Multimedia Systems|May 12, 2021
Predicting COVID-19 statistics using machine learning regression model: Li-MuLi-PolyHari Singh, Seema Bawa
Multimedia Systems|June 1, 2023
A survey on face presentation attack detection mechanisms: hitherto and future perspectivesDeepika Sharma, Arvind Selwal
Multimedia Systems|March 21, 2022
An olfactory display for virtual reality glassesMarcelo de Paiva Guimarães, James Miranda Martins, Diego Roberto Colombo Dias, et al.
Multimedia Systems|October 25, 2021
Assessing learning engagement based on facial expression recognition in MOOC's scenarioJunge Shen, Haopeng Yang, Jiawei Li, et al.
Multimedia Systems|January 24, 2022
BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographsHassaan Malik, Tayyaba Anees, Mui-Zzud-Din
Multimedia Systems|January 26, 2022
A holistic overview of deep learning approach in medical imagingRammah Yousef, Gaurav Gupta, Nabhan Yousef, et al.
Multimedia Systems|October 31, 2022
Learning effective embedding for automated COVID-19 prediction from chest X-ray imagesSree Ganesh T N, Rishi Satish, Rajeswari Sridhar
Multimedia Systems|February 12, 2020
Structured fragment-based object tracking using discrimination, uniqueness, and validity selectionJin Zheng, Bo Li, Ming Xin, et al.
Pageof 4

Showing results (21-30 of 35) with videos related to

Sort By:
Pageof 4
Multimedia Systems|February 7, 2022
A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networksHuseyin Yaşar, Murat Ceylan
Multimedia Systems|September 13, 2021
Self-assessment and deep learning-based coronavirus detection and medical diagnosis systems for healthcareKashif Naseer Qureshi, Adi Alhudhaif, Moazam Ali, et al.
Multimedia Systems|May 12, 2021
Predicting COVID-19 statistics using machine learning regression model: Li-MuLi-PolyHari Singh, Seema Bawa
Multimedia Systems|June 1, 2023
A survey on face presentation attack detection mechanisms: hitherto and future perspectivesDeepika Sharma, Arvind Selwal
Multimedia Systems|March 21, 2022
An olfactory display for virtual reality glassesMarcelo de Paiva Guimarães, James Miranda Martins, Diego Roberto Colombo Dias, et al.
Multimedia Systems|October 25, 2021
Assessing learning engagement based on facial expression recognition in MOOC's scenarioJunge Shen, Haopeng Yang, Jiawei Li, et al.
Multimedia Systems|January 24, 2022
BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographsHassaan Malik, Tayyaba Anees, Mui-Zzud-Din
Multimedia Systems|January 26, 2022
A holistic overview of deep learning approach in medical imagingRammah Yousef, Gaurav Gupta, Nabhan Yousef, et al.
Multimedia Systems|October 31, 2022
Learning effective embedding for automated COVID-19 prediction from chest X-ray imagesSree Ganesh T N, Rishi Satish, Rajeswari Sridhar
Multimedia Systems|February 12, 2020
Structured fragment-based object tracking using discrimination, uniqueness, and validity selectionJin Zheng, Bo Li, Ming Xin, et al.
Pageof 4