192 citations · 1.9k across the 53 of their papers we have counts for
53 papers
Leo: Lagrange Elementary Optimization
Aso M. Aladdin, Tarik A. Rashid
Global optimization problems are frequently solved using the practical and efficient method of evolutionary sophistication. But as the original problem becomes more complex, so doe…
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…
Multi objective Fitness Dependent Optimizer Algorithm
Jaza M. Abdullah, Tarik A. Rashid, Bestan B. Maaroof +1
This paper proposes the multi objective variant of the recently introduced fitness dependent optimizer (FDO). The algorithm is called a Multi objective Fitness Dependent Optimizer…
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…
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…
The Fifteen Puzzle- A New Approach through Hybridizing Three Heuristics Methods
Dler O. Hasan, Aso M. Aladdin, Hardi Sabah Talabani +2
Fifteen Puzzle problem is one of the most classical problems that have captivated mathematical enthusiasts for centuries. This is mainly because of the huge size of the state space…
Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image
Samer Kais Jameel, Sezgin Aydin, Nebras H. Ghaeb +4
Corneal diseases are the most common eye disorders. Deep learning techniques are used to per-form automated diagnoses of cornea. Deep learning networks require large-scale annotate…
An efficient hybrid classification approach for COVID-19 based on Harris Hawks Optimization and Salp Swarm Optimization
Abubakr Issa, Yossra Ali, Tarik Rashid
Feature selection can be defined as one of the pre-processing steps that decrease the dimensionality of a dataset by identifying the most significant attributes while also boosting…
Kurdish Handwritten Character Recognition using Deep Learning Techniques
Rebin M. Ahmed, Tarik A. Rashid, Polla Fattah +5
Handwriting recognition is one of the active and challenging areas of research in the field of image processing and pattern recognition. It has many applications that include: a re…
Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem
Barzan Hussein Tahir, Tarik A. Rashid, Hafiz Tayyab Rauf +4
Economic Load Dispatch depicts a fundamental role in the operation of power systems, as it decreases the environmental load, minimizes the operating cost, and preserves energy reso…
Heart Attack Classification System using Neural Network Trained with Particle Swarm Optimization
Askandar H. Amin, Botan K. Ahmed, Bestan B. Maaroof +1
The prior detection of a heart attack could lead to the saving of one's life. Putting specific criteria into a system that provides an early warning of an imminent at-tack will be…
Deep Learning for Size and Microscope Feature Extraction and Classification in Oral Cancer: Enhanced Convolution Neural Network
Prakrit Joshi, Omar Hisham Alsadoon, Abeer Alsadoon +4
Background and Aim: Over-fitting issue has been the reason behind deep learning technology not being successfully implemented in oral cancer images classification. The aims of this…
A novel solution of deep learning for enhanced support vector machine for predicting the onset of type 2 diabetes
Marmik Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon +4
Type 2 Diabetes is one of the most major and fatal diseases known to human beings, where thousands of people are subjected to the onset of Type 2 Diabetes every year. However, the…
Deep Learning Neural Network for Lung Cancer Classification: Enhanced Optimization Function
Bhoj Raj Pandit, Abeer Alsadoon, P. W. C. Prasad +4
Background and Purpose: Convolutional neural network is widely used for image recognition in the medical area at nowadays. However, overall accuracy in predicting lung tumor is low…
A Novel Enhanced Convolution Neural Network with Extreme Learning Machine: Facial Emotional Recognition in Psychology Practices
Nitesh Banskota, Abeer Alsadoon, P. W. C. Prasad +3
Facial emotional recognition is one of the essential tools used by recognition psychology to diagnose patients. Face and facial emotional recognition are areas where machine learni…
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…
Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation
Aso M. Aladdin, Jaza M. Abdullah, Kazhan Othman Mohammed Salih +7
This discusses a case study on Fitness Dependent Optimizer or so-called FDO and adapting its parameters to the Internet of Things (IoT) healthcare. The reproductive way is sparked…
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…
A New Lagrangian Problem Crossover: A Systematic Review and Meta-Analysis of Crossover Standards
Aso M. Aladdin, Tarik A. Rashid
The performance of most evolutionary metaheuristic algorithms relays on various operatives. One of them is the crossover operator, which is divided into two types: application depe…
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss
Hui Yang, Abeer Alsadoon, P. W. C. Prasad +4
Accurate emotion classification for online reviews is vital for business organizations to gain deeper insights into markets. Although deep learning has been successfully implemente…
Deep Learning for Sleep Stages Classification: Modified Rectified Linear Unit Activation Function and Modified Orthogonal Weight Initialisation
Akriti Bhusal, Abeer Alsadoon, P. W. C. Prasad +2
Background and Aim: Each stage of sleep can affect human health, and not getting enough sleep at any stage may lead to sleep disorder like parasomnia, apnea, insomnia, etc. Sleep-r…
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…
A Comprehensive Survey on the Internet of Things with the Industrial Marketplace
Kazhan Othman Mohammed Salih, Tarik A. Rashid, Dalibor Radovanovic +1
There is no doubt that new technology has become one of the crucial parts of most people's lives around the world. By and large, in this era, the Internet and the Internet of Thing…
Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems
Chnoor M. Rahman, Tarik A. Rashid, Aram Mahmood Ahmed +1
In this work, a new multiobjective optimization algorithm called multiobjective learner performance-based behavior algorithm is proposed. The proposed algorithm is based on the pro…