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Omar Sedqi Kareem

0000-0002-3063-2119

Publications (5)

Segmenting and Classifiying the Brain Tumor from MRI Medical Images Based on Machine Learning Algorithms: A Review

Omar Sedqi Kareem, Ahmed Khorsheed AL-Sulaifanie, Dathar Abas Hasan & Dindar Mikaeel Ahmed · Asian Journal of Research in Computer Science · 2021

A brain tumor is a problem that threatens life and impedes the normal working of the human body. The brain tumor needs to be identified early for the proper diagnosis and effective treatment planning. Tumor segmentation from an MRI brain image is one of the most focused areas of...

Open access Research Article 10.9734/ajrcos/2021/v10i230239

Skin Lesions Classification Using Deep Learning Techniques: Review

Omar Sedqi Kareem, Adnan Mohsin Abdulazeez & Diyar Qader Zeebaree · Asian Journal of Research in Computer Science · 2021

Skin cancer is a significant health problem. More than 123,000 new cases per year are recorded. Melanoma is the most popular type of skin cancer, leading to more than 9000 deaths annually in the USA. Skin disease diagnosis is getting difficult due to visual similarities. While Me...

Open access Research Article 10.9734/ajrcos/2021/v9i130210

Blooming Insights: Flower Classification Using Data Mining Techniques

Kazheen Ismael Hasan & Omar Sedqi Kareem · Asian Journal of Research in Computer Science · 2025

Precise flower classification is essential in botanical research, agricultural diagnostics, and biodiversity monitoring, as accurate species identification underpins ecological sustainability and informed decision-making. This study rigorously evaluates the utilization of data mi...

Open access Research Article 10.9734/ajrcos/2025/v18i10765

Diabetes Prediction Using Machine Learning

Chreesk Sabah M. Ali & Omar Sedqi Kareem · Asian Journal of Research in Computer Science · 2025

Diabetes mellitus is a persistent metabolic condition impacting millions globally. Preventing problems requires early detection. This study uses a clinical cohort from Medical Centre Chittagong, Bangladesh, and the Pima Indian Diabetes dataset to create machine learning-based cla...

Open access Research Article 10.9734/ajrcos/2025/v18i6682

The Prediction Process Based on Deep Recurrent Neural Networks: A Review

Diyar Qader Zeebaree, Adnan Mohsin Abdulazeez, Lozan M. Abdullrhman, Dathar Abas Hasan & Omar Sedqi Kareem · Asian Journal of Research in Computer Science · 2021

Prediction is vital in our daily lives, as it is used in various ways, such as learning, adapting, predicting, and classifying. The prediction of parameters capacity of RNNs is very high; it provides more accurate results than the conventional statistical methods for prediction....

Open access Research Article 10.9734/ajrcos/2021/v11i230259