Published Research (Miada Almasre)
- Almasre, Miada A., and Hana Al-Nuaim. "Comparison of Four SVM Classifiers Used with Depth Sensors to Recognize Arabic Sign Language Words." Computers 6.2 (2017): 20.
- Almasre, Miada A., and Hana Al-Nuaim. "Recognizing Arabic Sign Language gestures using depth sensors and a KSVM classifier." Computer Science and Electronic Engineering (CEEC), 2016 8th. IEEE, 2016.
- Almasre, Miada A., and Hana Al-Nuaim. "The Performance of Individual and Ensemble Classifiers for an Arabic Sign Language Recognition System." INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 8.5 (2017): 307-315.
- Almasre, Miada Ahmmed, and Hana A. Al-Nuaim. "Using the Hausdorff Algorithm to Enhance Kinect’s Recognition of Arabic Sign Language Gestures." International Journal of Computer Science and Security (IJCSS) 7.1 (2017): 2.
- Almasre, Miada A., and Hana Al-Nuaim. "A Real-Time Letter Recognition Model for Arabic Sign Language Using Kinect and Leap Motion Controller v2." International Journal of Advanced Engineering, Management and Science (IJAEMS) 2.5 (2016).
- Almasre, Miada A., and Hana Al-Nuaim. " The Validation of Gesture Based Datasets for Arabic Sign Language " 2018 1st International Conference on Computer Applications & Information Security (ICCAIS) (2018).
|
آخر تحديث
12/3/2018 11:49:21 AM
|
|
|