Hussein Mazaar
King Khalid University
9 Papers
26 Citations
Hussein Mazaar is an academic researcher from King Khalid University. The author has contributed to research in topics: Activity recognition & Support vector machine. The author has an hindex of 3, co-authored 9 publications. Previous affiliations of Hussein Mazaar include Cairo University.
Chat about Author
Papers
Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19.
Talal Saleh Qaid,Talal Saleh Qaid,Hussein Mazaar,Mohammad Yahya H. Al-Shamri,Mohammad Yahya H. Al-Shamri,Mohammed S. Alqahtani,Mohammed S. Alqahtani,Abeer A. Raweh,Abeer A. Raweh,Wafaa Alakwaa +9 more
TL;DR: In this paper, the authors employed deep and transfer learning techniques to develop accurate, general, and robust models for detecting COVID-19 pandemic using chest X-ray images, and applied the proposed models to two data sets: the COVID19 Radiography Database from Kaggle and a local data set from Asir Hospital, Abha, Saudi Arabia.
Evaluation of feature selection on human activity recognition
Hussein Mazaar,Eid Emary,Hoda M. Onsi +2 more
- 01 Dec 2015
TL;DR: With experiments to classify six activities of the KTH Dataset, significant feature reductions were reported with optimal embedded selection recorded for Gradient Boosting and R-Square techniques.
13
Deep sequence modelling for predicting COVID-19 mRNA vaccine degradation
Talal Saleh Qaid,Talal Saleh Qaid,Hussein Mazaar,Mohammed S. Alqahtani,Abeer A. Raweh,Abeer A. Raweh,Wafaa Alakwaa +6 more
TL;DR: In this article, a sequence deep model based on bidirectional GRU and LSTM models was applied on the Stanford COVID-19 mRNA vaccine dataset to predict the mRNA sequences responsible for degradation by predicting five reactivity values for every position in the sequence.
11
Ensemble Based-Feature Selection on Human Activity Recognition
Hussein Mazaar,Eid Emary,Hoda M. Onsi +2 more
- 09 May 2016
TL;DR: An approach for ensemble-based feature selection in human activity recognition is presented to select an important discriminating features to recognize the human activities in videos and removing the irrelevant redundant features.
7
Multiple Description Coding Based Network Coding
Hussein Mazaar,Hesham N. Elmahdy +1 more
TL;DR: This paper presents a proposal for transmitting images using Multiple Description Coding techniques over multiple links in a mesh network, while using network coding technique to add protection paths to ensure that all the descriptions are received even when one or two descriptions are lost.