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.
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 • 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 • 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 • 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 • 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 • 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 • 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.
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 • 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 • 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 • 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 • 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 • 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 • 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.