154 citations · 395 across the 10 of their papers we have counts for
10 papers
Enhanced Heart Sound Classification Using Mel Frequency Cepstral Coefficients and Comparative Analysis of Single vs. Ensemble Classifier Strategies
Amir Masoud Rahmani, Amir Haider, Mohammad Adeli +6
This paper explores the efficacy of Mel Frequency Cepstral Coefficients (MFCCs) in detecting abnormal heart sounds using two classification strategies: a single classifier and an e…
Artificial Cardiac Conduction System: Simulating Heart Function for Advanced Computational Problem Solving
Rebaz Mohammed Dler Omer, Nawzad K. Al-Salihi, Tarik A. Rashid +3
This work proposes a novel bio-inspired metaheuristic called Artificial Cardiac Conduction System (ACCS) inspired by the human cardiac conduction system. The ACCS algorithm imitate…
Evolving Deep Neural Network by Customized Moth Flame Optimization Algorithm for Underwater Targets Recognition
Mohammad Khishe, Mokhtar Mohammadi, Tarik A. Rashid +2
This chapter proposes using the Moth Flame Optimization (MFO) algorithm for finetuning a Deep Neural Network to recognize different underwater sonar datasets. Same as other models…
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…
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…
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…
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…
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…
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…
Donkey and Smuggler Optimization Algorithm: A Collaborative Working Approach to Path Finding
Ahmed S. Shamsaldin, Tarik A. Rashid, Rawan A. Al-Rashid Agha +2
Swarm Intelligence is a metaheuristic optimization approach that has become very predominant over the last few decades. These algorithms are inspired by animals' physical behaviors…