Skip to content
D

Dathar Abas Hasan

Publications (6)

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

Birds Sound Classification Based on Machine Learning Algorithms

Aska E. Mehyadin, Adnan Mohsin Abdulazeez, Dathar Abas Hasan & Jwan N. Saeed · Asian Journal of Research in Computer Science · 2021

The bird classifier is a system that is equipped with an area machine learning technology and uses a machine learning method to store and classify bird calls. Bird species can be known by recording only the sound of the bird, which will make it easier for the system to manage. Th...

Open access Research Article 10.9734/ajrcos/2021/v9i430227

Detection of Diabetic Retinopathy Based on Convolutional Neural Networks: A Review

Halbast Rashid Ismael, Adnan Mohsin Abdulazeez & Dathar Abas Hasan · Asian Journal of Research in Computer Science · 2021

A major cause of human vision loss worldwide is Diabetic retinopathy (DR). The disease requires early screening for slowing down the progress. However, in low-resource settings where few ophthalmologists are available to care for all patients with diabetes, the clinical diagnosis...

Open access Research Article 10.9734/ajrcos/2021/v8i330200

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

A Comprehensive Study of Caching Effects on Fog Computing Performance

Marwa Mahfodh Abdulqadir, Azar Abid Salih, Omar M. Ahmed, Dathar Abas Hasan, Lailan M. Haji, Sarkar Hasan Ahmed, Rowaida Khalil Ibrahim, Karzan H. Sharif & Hivi Ismat Dino · Asian Journal of Research in Computer Science · 2021

The rapid advancement in the Internet of things applications generates a considerable amount of data and requires additional computing power. These are serious challenges that directly impact the performance, latency, and network breakdown of cloud computing. Fog Computing can be...

Open access Research Article 10.9734/ajrcos/2021/v10i430246

A Survey of Optical Fiber Communications: Challenges and Processing Time Influences

Fairoz Q. Kareem, Subhi R. M. Zeebaree, Hivi Ismat Dino, Mohammed A. M.Sadeeq, Zryan Najat Rashid, Dathar Abas Hasan & Karzan Hussein Sharif · Asian Journal of Research in Computer Science · 2021

Optical fibers are utilized widely for data transmission systems because of their capacity to carry extensive information and dielectric nature. Network architectures utilizing multiple wavelengths per optical fiber are used in central, metropolitan, or broad‐area applications to...

Open access Research Article 10.9734/ajrcos/2021/v7i430188