output
20172026
most citedMulti-Transfer Learning Techniques for Detecting Auditory Brainstem Response

10 citations

6 papers

eess.IV2026

Comparative Analysis of Deep Learning Architectures for Multi-Disease Classification of Single-Label Chest X-rays

Ali M. Bahram, Saman Muhammad Omer, Hardi M. Mohammed

Chest X-ray imaging remains the primary diagnostic tool for pulmonary and cardiac disorders worldwide, yet its accuracy is hampered by radiologist shortages and inter-observer vari…

cs.IR2025★ 1 cited

Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm

Shadikur Rahman, Umme Ayman Koana, Aras M. Ismael +1

Analyzing journals and articles abstract text or documents using topic modelling and text clustering has become a modern solution for the increasing number of text documents. Topic…

eess.AS2023★ 10 cited

Multi-Transfer Learning Techniques for Detecting Auditory Brainstem Response

Fatih Ozyurt, Jafar Majidpour, Tarik A. Rashid +2

The assessment of the well-being of the peripheral auditory nerve system in individuals experiencing hearing impairment is conducted through auditory brainstem response (ABR) testi…

cs.CV2021★ 1 cited

Automatic image annotation base on Naive Bayes and Decision Tree classifiers using MPEG-7

Jafar Majidpour, Samer Kais Jameel

Recently it has become essential to search for and retrieve high-resolution and efficient images easily due to swift development of digital images, many present annotation algorith…

cs.CR2020

Application of deep learning to enhance the accuracy of intrusion detection in modern computer networks

Jafar Majidpour, Hiwa Hasanzadeh

Application of deep learning to enhance the accuracy of intrusion detection in modern computer networks were studied in this paper. The identification of attacks in computer networ…

q-bio.QM2017★ 1 cited

Dynamic Analysis of a Predator and Prey Model with Some Computational Simulations

Sarbaz H. A. Khoshnaw

Mathematical modelling and numerical simulations of interaction populations are crucial topics in systems biology. The interactions of ecological models may occur among individuals…