no code implementations • 26 Feb 2024 • Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid
The results indicate that Q-FOX has played an essential role in HP tuning for RL algorithms to effectively solve different control tasks.
no code implementations • 21 Jan 2024 • Amir Majidpour, Samer Kais Jameel, Jafar Majidpour, Houra Bagheri, Tarik A. Rashid, Ahmadreza Nazeri, Mahshid Moheb Aleaba
Findings: Image processing techniques were able to detect 1, 3, and 5 waves in the diagnosis field with accuracy (0. 82), (0. 98), and (0. 98), respectively, and its precision for waves 1, 3, and 5, were respectively (0. 32), (0. 97) and (0. 87).
no code implementations • 12 Jan 2024 • Rebaz Mohammed Dler Omer, Nawzad K. Al-Salihi, Tarik A. Rashid, Aso M. Aladdin, Mokhtar Mohammadi, Jafar Majidpour
This work proposes a novel bio-inspired metaheuristic called Artificial Cardiac Conduction System (ACCS) inspired by the human cardiac conduction system.
no code implementations • 5 Jan 2024 • Fatih Ozyurt, Jafar Majidpour, Tarik A. Rashid, Canan Koc
Handwritten signature verification poses a formidable challenge in biometrics and document authenticity.
no code implementations • 4 Sep 2023 • Bryar A. Hassan, Tarik A. Rashid, Aram Ahmed, Shko M. Qader, Jaffer Majidpour, Mohmad Hussein Abdalla, Noor Tayfor, Hozan K. Hamarashid, Haval Sidqi, Kaniaw A. Noori
It is essential that all algorithms are exhaustively, somewhat, and intelligently evaluated.
no code implementations • 3 Sep 2023 • Aram M. Ahmed, Tarik A. Rashid, Bryar A. Hassan, Jaffer Majidpour, Kaniaw A. Noori, Chnoor Maheadeen Rahman, Mohmad Hussein Abdalla, Shko M. Qader, Noor Tayfor, Naufel B Mohammed
Obtaining robust results in any algorithm is strongly dependent on how to balance between these two modes.
no code implementations • 29 Aug 2023 • Fatih Ozyurt, Jafar Majidpour, Tarik A. Rashid, Amir Majidpour, Canan Koc
To address these issues, this study proposed deep-learning models using the transfer-learning (TL) approach to extract features from ABR testing and diagnose HL using support vector machines (SVM).
no code implementations • 19 Jul 2023 • Rebwar Khalid Hamad, Tarik A. Rashid
The GOOSE algorithm is benchmarked on 19 well-known benchmark test functions, and the results are verified by a comparative study with genetic algorithm (GA), particle swarm optimization (PSO), dragonfly algorithm (DA), and fitness dependent optimizer (FDO).
no code implementations • 19 Jul 2023 • Mahmood Yashar, Tarik A. Rashid
Vectorization is a technique for converting an algorithm, which operates on a single value at a time to one that operates on a collection of values at a time to execute rapidly.
no code implementations • 19 Jul 2023 • Abubakr S. Issa, Yossra H. Ali, Tarik A. Rashid
A Binary Child Drawing Development Optimization (BCDDO) is suggested for choosing the wrapper features in this study.
no code implementations • 17 Jul 2023 • Rebwar Khalid Hamad, Tarik A. Rashid
As a consequence of this, ground-breaking research has been conducted in a variety of domains, including synthetic immune functions, neural networks, the intelligence of swarm, as well as computing of evolutionary.
no code implementations • 12 May 2023 • Azad A. Ameen, Tarik A. Rashid, Shavan Askar
Harmony search (HS) is a highly competitive algorithm relative to other prevalent metaheuristic algorithms, as its exploration phase performance on unimodal benchmark functions is outstanding.
no code implementations • 1 Apr 2023 • Aso M. Aladdin, Tarik A. Rashid
Global optimization problems are frequently solved using the practical and efficient method of evolutionary sophistication.
no code implementations • 16 Feb 2023 • Mohammad Khishe, Mokhtar Mohammadi, Tarik A. Rashid, Hoger Mahmud, Seyedali Mirjalili
This chapter proposes using the Moth Flame Optimization (MFO) algorithm for finetuning a Deep Neural Network to recognize different underwater sonar datasets.
no code implementations • 26 Jan 2023 • Jaza M. Abdullah, Tarik A. Rashid, Bestan B. Maaroof, Seyedali Mirjalili
This paper proposes the multi objective variant of the recently introduced fitness dependent optimizer (FDO).
no code implementations • 22 Jan 2023 • Tarik A. Rashid, Bryar A. Hassan, Abeer Alsadoon, Shko Qader, S. Vimal, Amit Chhabra, Zaher Mundher Yaseen
The primary objective of this research is to summarize current advances in awareness requirements for adaptive strategies based on an examination of state-of-the-art methods described in the literature.
1 code implementation • 6 Jan 2023 • Maryam T. Abdulkhaleq, Tarik A. Rashid, Bryar A. Hassan, Abeer Alsadoon, Nebojsa Bacanin, Amit Chhabra, S. Vimal
However, it is found that FDO has the longest runtime compared to the other algorithms.
no code implementations • 25 Dec 2022 • Samer Kais Jameel, Sezgin Aydin, Nebras H. Ghaeb, Jafar Majidpour, Tarik A. Rashid, Sinan Q. Salih, P. S. JosephNg
It also illustrates how produced medical images may be utilized to enrich medical data, improve clinical decisions, and boost the performance of the conventional neural network (CNN) for medical image diagnosis.
1 code implementation • 18 Oct 2022 • Rebin M. Ahmed, Tarik A. Rashid, Polla Fattah, Abeer Alsadoon, Nebojsa Bacanin, Seyedali Mirjalili, S. Vimal, Amit Chhabra
From the experimental results, it is clear that the proposed deep learning model is performing well and is comparable to the similar model of other languages' handwriting recognition systems.
no code implementations • 21 Aug 2022 • Askandar H. Amin, Botan K. Ahmed, Bestan B. Maaroof, Tarik A. Rashid
A real and novel dataset that has been recorded on the disease is used.
no code implementations • 6 Aug 2022 • Prakrit Joshi, Omar Hisham Alsadoon, Abeer Alsadoon, Nada AlSallami, Tarik A. Rashid, P. W. C. Prasad, Sami Haddad
Conclusion: The proposed system focuses on the accurate classification of oral cancer cells of different anatomical locations from the CLE images.
no code implementations • 5 Aug 2022 • Bhoj Raj Pandit, Abeer Alsadoon, P. W. C. Prasad, Sarmad Al Aloussi, Tarik A. Rashid, Omar Hisham Alsadoon, Oday D. Jerew
The aim of this work is to increase the overall prediction accuracy along with reducing processing time by using multispace image in pooling layer of convolution neural network.
no code implementations • 5 Aug 2022 • Marmik Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon, Thair Al-Dala'in, Tarik A. Rashid, P. W. C. Prasad, Ahmad AlRubaie
The proposed system consists of a deep learning technique that uses the Support Vector Machine (SVM) algorithm along with the Radial Base Function (RBF) along with the Long Short-term Memory Layer (LSTM) for prediction of onset of Type 2 Diabetes.
no code implementations • 5 Aug 2022 • Nitesh Banskota, Abeer Alsadoon, P. W. C. Prasad, Ahmed Dawoud, Tarik A. Rashid, Omar Hisham Alsadoon
The simulation results show significant improvements in accuracy and processing time, making the model suitable for the video analysis process.
no code implementations • 19 Jul 2022 • Maryam T. Abdulkhaleq, Tarik A. Rashid, Abeer Alsadoon, Bryar A. Hassan, Mokhtar Mohammadi, Jaza M. Abdullah, Amit Chhabra, Sazan L. Ali, Rawshan N. Othman, Hadil A. Hasan, Sara Azad, Naz A. Mahmood, Sivan S. Abdalrahman, Hezha O. Rasul, Nebojsa Bacanin, S. Vimal
The popularity of HS urges us to provide a comprehensive survey of the literature on HS and its variants on health systems, analyze its strengths and weaknesses, and suggest future research directions.
no code implementations • 14 Jul 2022 • Barzan Hussein Tahir, Tarik A. Rashid, Hafiz Tayyab Rauf, Nebojsa Bacanin, Amit Chhabra, S. Vimal, Zaher Mundher Yaseen
Moreover, the authors have enhanced a novel variant of Fitness Dependent Optimizer, which incorporates novel population initialization techniques and dynamically employed sine maps to select the weight factor for Fitness Dependent Optimizer.
1 code implementation • 8 Jun 2022 • Shko M. Qader, Bryar A. Hassan, Tarik A. Rashid
In this paper, an improvement in deep convolutional learning is ensured by adopting enhanced optimization algorithms, Thus, Deep Convolutional Neural Network (DCNN) based on improved Harris Hawks Optimization (HHO), called G-HHO has been considered.
no code implementations • 18 May 2022 • Aso M. Aladdin, Jaza M. Abdullah, Kazhan Othman Mohammed Salih, Tarik A. Rashid, Rafid Sagban, Abeer Alsaddon, Nebojsa Bacanin, Amit Chhabra, S. Vimal, Indradip Banerjee
Ultimately, the target of this chapter's enhancement is to adapt the IoT healthcare framework based on FDO to spawn effective IoT healthcare applications for reasoning out real-world optimization, aggregation, prediction, segmentation, and other technological problems.
no code implementations • 21 Apr 2022 • Aso M. Aladdin, Tarik A. Rashid
The proposed crossover standards result for 100 generations of parent chromosomes are compared to the BX and SBX standards, which are the communal real-coded crossover standards.
no code implementations • 26 Mar 2022 • Ari M. Saeed, Shnya R. Hussein, Chro M. Ali, Tarik A. Rashid
The percentage ratio of the negative class is 55% while the positive class is 45%.
no code implementations • 4 Mar 2022 • Hui Yang, Abeer Alsadoon, P. W. C. Prasad, Thair Al-Dala'in, Tarik A. Rashid, Angelika Maag, Omar Hisham Alsadoon
The proposed solution improves accuracy and reduces the processing time of text emotion classification.
no code implementations • 18 Feb 2022 • Akriti Bhusal, Abeer Alsadoon, P. W. C. Prasad, Nada Alsalami, Tarik A. Rashid
Methodology: The proposed system used a modified Orthogonal Convolutional Neural Network and a modified Adam optimisation technique to improve the sleep stage classification accuracy and reduce the gradient saturation problem that occurs due to sigmoid activation function.
no code implementations • 27 Jan 2022 • Bestan B. Maaroof, Tarik A. Rashid, Jaza M. Abdulla, Bryar A. Hassan, Abeer Alsadoon, Mokhtar Mohammadi, Mohammad Khishe, Seyedali Mirjalili
An overview of the SFLA is first conducted, followed by the algorithm's most recent modifications and hybridizations.
no code implementations • 15 Jan 2022 • Chnoor M. Rahman, Tarik A. Rashid, Aram Mahmood Ahmed, Seyedali Mirjalili
The results proved the ability of the proposed work in providing a set of non-dominated solutions, and that the algorithm outperformed the other participated algorithms in most of the cases.
no code implementations • 8 Jan 2022 • Hozan K. Hamarashid, Soran A. Saeed, Tarik A. Rashid
Besides, the evaluation of the prediction systems will be discussed.
1 code implementation • 3 Jan 2022 • Dosti Kh. Abbas, Tarik A. Rashid, Karmand H. Abdallaand Nebojsa Bacanin, Abeer Alsadoon
The experimental results of this approach are affirmed by comparing with the Back-Propagation algorithm (BP) and some evolutionary models such as FDO with cascade MLP (FDO-CMLP), Grey Wolf Optimizer (GWO) combined with MLP (GWO-MLP), modified GWO combined with MLP (MGWO-MLP), GWO with cascade MLP (GWO-CMLP), and modified GWO with cascade MLP (MGWO-CMLP).
no code implementations • 4 Dec 2021 • Deeam Najmadeen Hama Rashid, Tarik A. Rashid, Seyedali Mirjalili
ANA computes the rate of change differently as it uses previous, current solutions, fitness values during the optimization process to generate weights by utilizing the Pythagorean theorem.
no code implementations • 30 Nov 2021 • Ashish Kumar, Abeer Alsadoon, P. W. C. Prasad, Salma Abdullah, Tarik A. Rashid, Duong Thu Hang Pham, Tran Quoc Vinh Nguyen
It seems that the proposed system concentrates on minimizing the root mean square error and processing time and improving the direction prediction accuracy, and provides a better result in the accuracy of the stock index.
no code implementations • 20 Sep 2021 • Bryar A. Hassan, Tarik A. Rashid, Hozan K. Hamarashid
Third, an operational framework was proposed to rate the effectiveness of iECA* against other algorithms in the datasets analysed, and the results indicated that iECA* exhibited the best performance in clustering all medical datasets.
no code implementations • 31 Aug 2021 • Bryar A. Hassan, Tarik A. Rashid
In turn, an experiment was conducted by applying 385 sample corpora from Wikipedia on the two frameworks to examine the reduction of formal context size, which leads to yield concept lattice and concept hierarchy.
no code implementations • 21 Aug 2021 • Hardi M. Mohammed, Tarik A. Rashid
The results prove that CFDO has better capability to solve the problem.
no code implementations • 21 Aug 2021 • Nirakar Puri, Abeer Alsadoon, P. W. C. Prasad, Nada Alsalami, Tarik A. Rashid
The aim of this work is to propose a solution to improve the visualization in the final merged video by producing globally consistent videos when the intensity of illumination in the input source and target video varies.
no code implementations • 21 Aug 2021 • Kshitiz Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon, Tarik A. Rashid, Rasha S. Ali, P. W. C. Prasad, Oday D. Jerew
Methodology: The proposed system consists of Convolutional Neural Network (CNN) to enhance the accuracy of classification and prediction by using Elastic Net Regularization.
no code implementations • 25 Jul 2021 • Tarik A. Rashid, Chra I. Shekho Toghramchi, Heja Sindi, Abeer Alsadoon, Nebojsa Bacanin, Shahla U. Umar, A. S. Shamsaldin, Mokhtar Mohammadi
Based on the achieved performance metrics, the proposed MBA establishes better global search ability and convergence than the original BA and other approaches.
no code implementations • 10 Jul 2021 • Bryar A. Hassan, Tarik A. Rashid, Seyedali Mirjalili
Generating formal context may lead to a time-consuming process, so formal context size reduction is required to remove uninterested and erroneous pairs, taking less time to extract the concept lattice and concept hierarchies accordingly.
no code implementations • 5 Jul 2021 • Ravi Teja Batchu, Abeer Alsadoon, P. W. C. Prasad, Rasha S. Ali, Tarik A. Rashid, Ghossoon Alsadoon, Oday D. Jerew
The proposed model has been developed for access control to data through the authentication of users in healthcare to reduce data manipulation or theft.
no code implementations • 1 Jul 2021 • Ashu Thapa, Abeer Alsadoon, P. W. C. Prasad, Simi Bajaj, Omar Hisham Alsadoon, Tarik A. Rashid, Rasha S. Ali, Oday D. Jerew
Methodology: The proposed system consists of a Deep Convolutional Neural Network (DCNN) that helps in enhancing and increasing the accuracy of the classification process.
no code implementations • 30 Jun 2021 • Sabat Abdulhameed, Tarik A. Rashid
Hand pressure width, length and golden ratio of the child's drawing are tuned to attain better results.
no code implementations • 1 Jun 2021 • Tawsifur Rahman, Alex Akinbi, Muhammad E. H. Chowdhury, Tarik A. Rashid, Abdulkadir Şengür, Amith Khandakar, Khandaker Reajul Islam, Aras M. Ismael
Six different deep CNN models (ResNet18, ResNet50, ResNet101, InceptionV3, DenseNet201, and MobileNetv2) were used to investigate three different classification schemes: two-class classification (Normal vs COVID-19); three-class classification (Normal, COVID-19, and Other CVDs), and finally, five-class classification (Normal, COVID-19, MI, AHB, and RMI).
no code implementations • 14 May 2021 • Hu Tianqing, Mohammad Khishe, Mokhtar Mohammadi, Gholam-Reza Parvizi, Sarkhel H. Taher Karim, Tarik A. Rashid
Real-time detection of COVID-19 using radiological images has gained priority due to the increasing demand for fast diagnosis of COVID-19 cases.
no code implementations • 14 May 2021 • Wu Chao, Mohammad Khishe, Mokhtar Mohammadi, Sarkhel H. Taher Karim, Tarik A. Rashid
Therefore, to cope with this problem and maintain network reliability, the sine-cosine algorithm was utilized to tune the ELM's parameters.
1 code implementation • 27 Apr 2021 • Aram Ahmed, Tarik A. Rashid, Soran Saeed
The original Cat Swarm Optimization suffers from the shortcoming of 'premature convergence', which is the possibility of entrapment in local optima which usually happens due to the off-balance between exploration and exploitation phases.
no code implementations • 18 Mar 2021 • Sagar Chhetri, Abeer Alsadoon, Thair Al Dala in, P. W. C. Prasad, Tarik A. Rashid, Angelika Maag
This research aims to propose a vision-based fall detection system that improves the accuracy of fall detection in some complex environments such as the change of light condition in the room.
no code implementations • 17 Mar 2021 • Arjina Maharjan, Abeer Alsadoon, P. W. C. Prasad, Nada AlSallami, Tarik A. Rashid, Ahmad AlRubaie, Sami Haddad
The purpose of the proposed solution is to decrease the processing time and enhance the accuracy of merged video by decreasing the overlay and visualization error and removing occlusion and artefacts.
no code implementations • 13 Mar 2021 • Nitish Maharjan, Abeer Alsadoon, P. W. C. Prasad, Salma Abdullah, Tarik A. Rashid
This has led to improve the processing time as well.
no code implementations • 27 Feb 2021 • Hardi M. Mohammed, Zrar Kh. Abdul, Tarik A. Rashid, Abeer Alsadoon, Nebojsa Bacanin
One of the common metaheuristic optimization algorithms is called Grey Wolf Optimization (GWO).
no code implementations • 18 Jan 2021 • Shahla U. Umar, Tarik A. Rashid
Purpose: The purpose of this study is to provide the reader with a full study of the Bat Algorithm, including its limitations, the fields that the algorithm has been applied, versatile optimization problems in different domains, and all the studies that assess its performance against other meta-heuristic algorithms.
no code implementations • 1 Jan 2021 • Bryar A. Hassan, Tarik A. Rashid
We notice that most of these techniques deterministically define a cluster based on the value of the attributes, distance, and density of homogenous and single-featured datasets.
no code implementations • 4 Dec 2020 • Danial A. Muhammed, Tarik A. Rashid, Abeer Alsadoon, Nebojsa Bacanin, Polla Fattah, Mokhtar Mohammadi, Indradip Banerjee
This method enables the developed model to find a more appropriate evacuation area design, among others regarding safety due to selecting the best exit door location among many suggested locations.
no code implementations • 5 Sep 2020 • Chnoor M. Rahman, Tarik A. Rashid
It is proved that the algorithm has a great ability to deal with the large optimization problems comparing to the DA, GA, and PSO.
no code implementations • 27 Jul 2020 • Hozan K. Hamarashid, Soran A. Saeed, Tarik A. Rashid
The N-gram model has been used for next word prediction to reduce the amount of time while typing in the Kurdish language.
no code implementations • 19 May 2020 • Godar J. Ibrahim, Tarik A. Rashid, Mobayode O. Akinsolu
By increasing mobile devices in technology and human life, using a runtime and mobile services has gotten more complex along with the composition of a large number of atomic services.
no code implementations • 28 Feb 2020 • Hardi M. Mohammed, Tarik A. Rashid
Grey Wolf Optimization (GWO) is a very competitive algorithm comparing to other common metaheuristic algorithms as it has a super performance in the exploitation phase while it is tested on unimodal benchmark functions.
no code implementations • 19 Feb 2020 • Chnoor M. Rahman, Tarik A. Rashid, Abeer Alsadoon, Nebojsa Bacanin, Polla Fattah, Seyedali Mirjalili
Moreover, to examine the ability of the algorithm to optimize large-scale optimization problems CEC-C2019 benchmarks were utilized.
1 code implementation • 16 Jan 2020 • Danial A. Muhammed, Soran AM. Saeed, Tarik A. Rashid
Moreover, in determining the weights, the FDO uses the weight factor (wf), which is zero in most cases and one in only a few cases.
no code implementations • 10 Jan 2020 • Aram M. Ahmed, Tarik A. Rashid, Soran Ab. M. Saeed
This paper presents an in-depth survey and performance evaluation of the Cat Swarm Optimization (CSO) Algorithm.
no code implementations • 3 Dec 2019 • Danial A. Muhammed, Soran A. M. Saeed, Tarik A. Rashid
The emergency behavior and evacuation efficiency of each pedestrian were evaluated by coupling his or her speed with various elements, such as environment, pedestrian distribution and familiarity with the exits.
no code implementations • 29 Nov 2019 • Bryar A. Hassan, Tarik A. Rashid
The first framework is a general framework to depict the main extensions of BSA, whereas the second is an operational framework to present the expansion procedures of BSA to guide the researchers who are working on improving it.
no code implementations • 25 Nov 2019 • Chnoor M. Rahman, Tarik A. Rashid
In general, in this survey the strong and weak points of the algorithm are discussed.
no code implementations • 4 Nov 2019 • Danial A. Muhammed, Soran Saeed, Tarik A. Rashid
Human beings face threats because of unexpected happenings, which can be avoided through an adequate crisis evacuation plan, which is vital to stop wound and demise as its negative results.
Multiagent Systems Physics and Society
no code implementations • 27 Jul 2019 • Naser Rostamni, Tarik A. Rashid
This paper evaluates the impact of the power extent on price in the electricity market.
2 code implementations • 19 Apr 2019 • Ahmed S. Shamsaldin, Tarik A. Rashid, Rawan A. Al-Rashid Agha, Nawzad K. Al-Salihi, Mokhtar Mohammadi
These are the Smuggler and Donkeys.
no code implementations • 10 Apr 2019 • Jaza M. Abdullah, Tarik A. Rashid
Furthermore, the results are statistically tested with the Wilcoxon rank-sum test to show the significance of the results.
no code implementations • 8 Apr 2019 • Tarik A. Rashid, Hawraz A. Ahmad
In this paper, Particle Swarm Optimization Neural Network is used to assess performance of lecturers in more fruitful way and also to enhance the accuracy of recognition system.
1 code implementation • 27 Mar 2019 • Tarik A. Rashid, Dosti K. Abbas, Yalin K. Turel
Identifying university students' weaknesses results in better learning and can function as an early warning system to enable students to improve.
1 code implementation • 20 Mar 2019 • Hardi M. Mohammed, Shahla U. Umar, Tarik A. Rashid
Then, the statistical results of WOA modifications and hybridizations are established and compared with the most common optimization algorithms and WOA.