The Journal of Supercomputing, affiliated with Springer Publishing, was published with an impact factor of 3.3

Scientific research entitled:

"BCDDO: Binary Child Drawing Development Optimization"

Submitted by researcher asst.L. Abu Bakr Saeb Issa, a lecturer at the Information Technology Center

The research aimed to create a binary version (BCDDO) of the Child Drawing Development Optimization (CDDO) algorithm to improve classification accuracy by selecting important features from the data. 

The results extracted from the research indicate that the binary version, BCDDO, has provided a noticeable improvement in classification accuracy compared to other optimization algorithms studied, such as (Harris Hawk optimization, salp swarm optimization, bat) and others, on a set of different data.

For example, a classification accuracy of up to 99.36% was achieved on the big COVID dataset using XGBoost classification after using BCDDO for feature selection. These results show promising effectiveness of using BCDDO in improving the performance of classification models through selecting appropriate features.

In accordance with the principle of cooperation between scientific departments and service centers at all university

The students of the Communications Engineering Department/initial stage were hosted for morning and evening study by the Information Technology Center at the university under the supervision of the center’s director,L. Ali Abdul Razzaq Tarish, and in coordination with the Training and Technical Support Division, the students’ requirements were reviewed to complete their annual projects related to conducting the statistical survey assigned to them by their department, and all facilities, information, and statistical forms for that were provided to them.

Within cooperation between scientific departments and service centers at the university

Information Technology Center received freshmen students from Control and Systems Engineering Department on a scientific visit to the Computer and Network Maintenance Division to enhance and develop practical and tutorial aspect of academic study.

Assist. Lec. Muthanna Ali Kahdim presented a practical illustration of the university’s internal network, which relies on the FTTX optical cable system, which joint all the university’s scientific departments, centers, administrative departments and their formations, the university’s central switch, and other services provided by this network.