Jameela Alkrimi
Title
Cited by
Cited by
Year
Classification red blood cells using support vector machine
JA Akrimi, A Suliman, LE George, AR Ahmad
Proceedings of the 6th International Conference on Information Technology …, 2014
142014
Red blood cell recognition using geometrical features
J Ali, AR Ahmad, LE George, CS Der, S Aziz
International Journal of Computer Science Issues (IJCSI) 10 (1), 90, 2013
142013
Review of Artificial Intelligence
SA Jameela Ali Akrimi, Abdul RahimAhmad, Loay E. George
International Journal of Science and Research (IJSR), India Online ISSN …, 2013
11*2013
Comparative study using weka for red blood cells classification
JA Alkrimi, HA Jalab, LE George, AR Ahmad, A Suliman, K Al-Jashamy
International Journal of Medical, Health, Pharmaceutical and Biomedical …, 2015
92015
Isolation and Classification of Red Blood Cells in Anemic Microscopic Images
JA Alkrimi, LE George, A Suliman, AR Ahmad, K Al-Jashamy
World Academy of Science, Engineering and Technology, International Journal …, 2014
52014
Review of Machine Learning Techniques in Anemia Recognition
JA Akrimi, A RahimAhmad, LE George
International Journal of Science and Research (IJSR), India Online ISSN …, 2013
52013
A Review Of Machine Learning Techniques And Statistical Models In Anaemia
SA Jameela Ali, AbdulRahim Ahmad, Loay E. George, Chen Soong Der
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH 2 (2, FEBRUARY …, 2013
42013
COMPARISON OF DIFFERENT CLASSIFICATION TECHNIQUES USING DATA MINING TO DETECT MALARIA-INFECTED RED BLOOD CELLS
JA Alkrimi, SA Toma, RS Mohammed, LE Georged
International Journal of Advanced Research in Technology and Innovation 1 (3 …, 2020
22020
Classification of Red Blood Cells using Principal Component Analysis Technique
LEG Jameela Ali Alkrimi, Sherna Aziz Tome
European Journal of Engineering Research and Science 4 (2), 17-22, 2019
2*2019
Frequency Rate of Abnormal Morphologic Shapes of the Erythrocytes upon the Different Types of Anemia
ARA Jameela Ali Akrimi, Karim Al-Jashamy, Loay E. George, Azizah Suliman
International Journal of Scientific & Engineering Research, 4 (7), 2476 - 2482, 2013
22013
Using Knowledge Discovery to Enhance Classification Techniques for Detect Malaria-Infected Red Blood Cells
JA Alkrimi, SA Toma, RS Mohammed, LE George
Int. J. Sci. Res. in Network Security and Communication Vol 8, 1, 2020
12020
New Normal and Abnormal Red Blood Cells Features for Improved Classification
LEG Jameela Ali Alkrimi, Sherna Aziz Tome
International Journal of Computer (IJC),ISSN 2307-4523 23 (1), 1-8, 2019
1*2019
Classification of Imbalanced leukocytes Dataset using ANN-based Deep Learning
JA Alkrimi, RSM Hasin, AZ Naji, LE George, SA Tome
Journal of Physics: Conference Series 1999 (1), 012140, 2021
2021
Comparison of Different Classification Techniques Using Knowledge Discovery to Detect Malaria-infected Red Blood Cells
JA Alkrimi, LE George, SA Tome, AB Suliman
EasyChair, 2019
2019
Improving Anemic RBCs Recognition Using (SSSF) and (RBFNN)
LEG Jameela Alkrimi
2017
Improving Anemic RBCs Images Recognition
JALE George
2017
Medical Diagnosis by Analysis of Blood Cell Images
LEG Jameela Alkrimi
2014
Review of Machine Learning Techniques in Anemia Recognition
International Journal of Science and Research (IJSR), India Online ISSN …, 2013
2013
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