Al-Nahrain University Academic Staff Profiles System

Academic staff profiles
Al-Nahrain University

عربي | English

PERSONAL INFORMATION

Full Name: Dr. Tiba Zaki Abdulhameed Gender: Female Birthdate: 1975 Nationality: Iraq Degree: PhD Academic Title: Lecturer College\Center: College of Science Departement: Computer Science Major: Computer science Specialty: Artificial intelligence Occupation: Lecturer Mother Language: Arabic Other Languages: English Work email: tiba.zaki@nahrainuniv.edu.iq Personal email: tiba_zaki@yahoo.com

LINKS

https://scholar.google.com/citations?user=mEZ8_x8AAAAJ&hl=en

https://www.scopus.com/authid/detail.uri?authorId=57204766210

https://researchid.co/tiba

https://www.researchgate.net/profile/Tiba-Abdulhameed-2

https://publons.com/researcher/3397385/tiba-zakiabdulhameed/

https://orcid.org/0000-0003-3367-2412

https://www.linkedin.com/in/tiba-zaki-alhabba-abdulhameed-bb1086108

Publications

SS-DBSCAN: Semi-Supervised Density-Based Spatial Clustering of Applications with Noise for Meaningful Clustering in Diverse Density Data
T Abdulhameed, S Yousif, V Samawi, H Al-Shaikhli, 2024
IEEE Access, 2169-3536

Utilizing Machine Learning Models to Predict the Car Crash Injury Severity among Elderly Drivers
R Mamlook, T Abdulhameed, R Hasan, H Al-Shaikhli, I Mohammed, S Tabatabai, 2020
2020 IEEE International Conference on Electro Information Technology (EIT), 105-111
Investigating the Male and Older People Susceptibility to Death from (COVID-19) Using Statistical Models
R Mamlook, Z Hashi, T Abdulhameed, H Bzizi, 2020
Journal of Biometrics & Biostatistics, 11, (5)
How Understanding Your Students Can Impact the Learning Outcomes
T Abdulhameed, 2020
https://scholarworks.wmich.edu/stem-gta-posters/9/
Cross Language Information Transfer Between Modern Standard Arabic and Its Dialects–a Framework for Automatic Speech Recognition System Language Model
T Abdulhameed, 2020
How Understanding Your Students Can Impact the Learning Outcomes
T Abdulhameed, 2020
STEM Instructional Graduate Teaching Assistant Posters

Wasf-Vec: Topology-Based Word Embedding for Modern Standard Arabic and Iraqi Dialect Ontology
T Abdulhameed, I Zitouni, I Abdel-Qader, 2019
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 19, (2)

Enhancement of the word2vec Class-Based Language Modeling by Optimizing the Features Vector using PCA
T Abdulhameed, I Zitouni, I Abdel-Qader, 2018
18th Annual IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY (eit2018), 18

Assessing the usability of modern standard Arabic data in enhancing the language model of limited size dialect conversations
T Abdulhameed, I Zitouni, I Abdel-Qader, M Abusharkh, 2017
International Conference on Natural Language, Signal and Speech Processing 2017 05 - 06 DECEMBER, 2017, Casablanca, Morocco, 1, 49-53

FFT USING OPEN-MP
T Abdulhameed, H QASIM, 2015
https://slideplayer.com/slide/7537746/

Advanced compression techniques for multimedia applications
T Abdulhameed, A Kadhem, T Bashaga, 2002
Al-Nahrain University

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