output
20192022
most citedReal-Time COVID-19 Diagnosis from X-Ray Images Using Deep CNN and Extreme Learning Machines Stabilized by Chimp Optimization Algorithm

154 citations

7 papers

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…

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★ 4 cited

An Improved BAT Algorithm for Solving Job Scheduling Problems in Hotels and Restaurants

Tarik A. Rashid, Chra I. Shekho Toghramchi, Heja Sindi +5

One popular example of metaheuristic algorithms from the swarm intelligence family is the Bat algorithm (BA). The algorithm was first presented in 2010 by Yang and quickly demonstr…

eess.IV2021★ 154 cited

Real-Time COVID-19 Diagnosis from X-Ray Images Using Deep CNN and Extreme Learning Machines Stabilized by Chimp Optimization Algorithm

Hu Tianqing, Mohammad Khishe, Mokhtar Mohammadi +3

Real-time detection of COVID-19 using radiological images has gained priority due to the increasing demand for fast diagnosis of COVID-19 cases. This paper introduces a novel two-p…

eess.IV2021★ 62 cited

Evolving Deep Convolutional Neural Network by Hybrid Sine-Cosine and Extreme Learning Machine for Real-time COVID19 Diagnosis from X-Ray Images

Wu Chao, Mohammad Khishe, Mokhtar Mohammadi +2

The COVID19 pandemic globally and significantly has affected the life and health of many communities. The early detection of infected patients is effective in fighting COVID19. Usi…

cs.MA2020★ 3 cited

An Improved Simulation Model for Pedestrian Crowd Evacuation

Danial A. Muhammed, Tarik A. Rashid, Abeer Alsadoon +4

This paper works on one of the most recent pedestrian crowd evacuation models, i.e., "a simulation model for pedestrian crowd evacuation based on various AI techniques", developed…

q-fin.ST2019★ 12 cited

Investigating the effect of competitiveness power in estimating the average weighted price in electricity market

Naser Rostamni, Tarik A. Rashid

This paper evaluates the impact of the power extent on price in the electricity market. The competitiveness extent of the electricity market during specific times in a day is consi…