output
20192023
most citedCSCF: a chaotic sine cosine firefly Algorithm for practical application problems

120 citations

12 papers

cs.SE2023★ 6 cited

Awareness requirement and performance management for adaptive systems: a survey

Tarik A. Rashid, Bryar A. Hassan, Abeer Alsadoon +4

Self-adaptive software can assess and modify its behavior when the assessment indicates that the program is not performing as intended or when improved functionality or performance…

cs.NE2023★ 11 cited

Fitness Dependent Optimizer with Neural Networks for COVID-19 patients

Maryam T. Abdulkhaleq, Tarik A. Rashid, Bryar A. Hassan +4

The Coronavirus, known as COVID-19, which appeared in 2019 in China, has significantly affected global health and become a huge burden on health institutions all over the world. Th…

cs.NE2022★ 37 cited

Harmony Search: Current Studies and Uses on Healthcare Systems

Maryam T. Abdulkhaleq, Tarik A. Rashid, Abeer Alsadoon +13

One of the popular metaheuristic search algorithms is Harmony Search (HS). It has been verified that HS can find solutions to optimization problems due to its balanced exploratory…

eess.IV2022★ 39 cited

An Improved Deep Convolutional Neural Network by Using Hybrid Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented MRI Images

Shko M. Qader, Bryar A. Hassan, Tarik A. Rashid

Automated brain tumor detection is becoming a highly considerable medical diagnosis research. In recent medical diagnoses, detection and classification are highly considered to emp…

cs.NE2022★ 71 cited

Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review

Bestan B. Maaroof, Tarik A. Rashid, Jaza M. Abdulla +5

Shuffled Frog Leaping Algorithm (SFLA) is one of the most widespread algorithms. It was developed by Eusuff and Lansey in 2006. SFLA is a population-based metaheuristic algorithm t…

cs.NE2021★ 54 cited

A Novel Cluster Detection of COVID-19 Patients and Medical Disease Conditions Using Improved Evolutionary Clustering Algorithm Star

Bryar A. Hassan, Tarik A. Rashid, Hozan K. Hamarashid

With the increasing number of samples, the manual clustering of COVID-19 and medical disease data samples becomes time-consuming and requires highly skilled labour. Recently, sever…