activity
20192025
most citedCSCF: a chaotic sine cosine firefly Algorithm for practical application problems

120 citations · 797 across the 32 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

q-bio.QM2024★ 11 cited

Decoding Drug Discovery: Exploring A-to-Z In silico Methods for Beginners

Hezha O. Rasul, Dlzar D. Ghafour, Bakhtyar K. Aziz +3

The drug development process is a critical challenge in the pharmaceutical industry due to its time-consuming nature and the need to discover new drug potentials to address various…

cs.SD2024★ 1 cited

Advanced Clustering Techniques for Speech Signal Enhancement: A Review and Metanalysis of Fuzzy C-Means, K-Means, and Kernel Fuzzy C-Means Methods

Abdulhady Abas Abdullah, Aram Mahmood Ahmed, Tarik Rashid +1

Speech signal processing is a cornerstone of modern communication technologies, tasked with improving the clarity and comprehensibility of audio data in noisy environments. The pri…

cs.CR2024★ 31 cited

Comparative Analysis of AES, Blowfish, Twofish, Salsa20, and ChaCha20 for Image Encryption

Rebwar Khalid Muhammed, Ribwar Rashid Aziz, Alla Ahmad Hassan +4

Nowadays, cybersecurity has grown into a more significant and difficult scientific issue. The recog-nition of threats and attacks meant for knowledge and safety on the internet is…

cs.LG2024★ 63 cited

From A-to-Z Review of Clustering Validation Indices

Bryar A. Hassan, Noor Bahjat Tayfor, Alla A. Hassan +3

Data clustering involves identifying latent similarities within a dataset and organizing them into clusters or groups. The outcomes of various clustering algorithms differ as they…

cs.NE2024★ 34 cited

Modified Bat Algorithm: A Newly Proposed Approach for Solving Complex and Real-World Problems

Shahla U. Umar, Tarik A. Rashid, Aram M. Ahmed +2

Bat Algorithm (BA) is a nature-inspired metaheuristic search algorithm designed to efficiently explore complex problem spaces and find near-optimal solutions. The algorithm is insp…

cs.NE2024★ 13 cited

Modified-Improved Fitness Dependent Optimizer for Complex and Engineering Problems

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

Fitness dependent optimizer (FDO) is considered one of the novel swarm intelligent algorithms. Recently, FDO has been enhanced several times to improve its capability. One of the i…