Search Results for author: Abeer Alsadoon

Found 24 papers, 3 papers with code

Awareness requirement and performance management for adaptive systems: a survey

no code implementations22 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.

Management

Kurdish Handwritten Character Recognition using Deep Learning Techniques

1 code implementation18 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.

Handwriting Recognition

A novel solution of deep learning for enhanced support vector machine for predicting the onset of type 2 diabetes

no code implementations5 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.

Vocal Bursts Type Prediction

Deep Learning Neural Network for Lung Cancer Classification: Enhanced Optimization Function

no code implementations5 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.

Image Reconstruction

Harmony Search: Current Studies and Uses on Healthcare Systems

no code implementations19 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.

Deep Learning for Sleep Stages Classification: Modified Rectified Linear Unit Activation Function and Modified Orthogonal Weight Initialisation

no code implementations18 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.

Classification

Using Fitness Dependent Optimizer for Training Multi-layer Perceptron

1 code implementation3 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).

Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction

no code implementations30 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.

Generative Adversarial Network

Mixed Reality using Illumination-aware Gradient Mixing in Surgical Telepresence: Enhanced Multi-layer Visualization

no code implementations21 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.

Mixed Reality

A Novel Solution of an Elastic Net Regularization for Dementia Knowledge Discovery using Deep Learning

no code implementations21 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.

Classification feature selection +1

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

no code implementations25 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.

Scheduling

A Review-based Taxonomy for Secure Health Care Monitoring: Wireless Smart Cameras

no code implementations5 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.

Management Retrieval

Deep Learning for Breast Cancer Classification: Enhanced Tangent Function

no code implementations1 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.

Classification

Deep Learning for Vision-Based Fall Detection System: Enhanced Optical Dynamic Flow

no code implementations18 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.

Action Recognition General Classification +1

A Novel Solution of Using Mixed Reality in Bowel and Oral and Maxillofacial Surgical Telepresence: 3D Mean Value Cloning algorithm

no code implementations17 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.

Mixed Reality

An Improved Simulation Model for Pedestrian Crowd Evacuation

no code implementations4 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.

A survey on dragonfly algorithm and its applications in engineering

no code implementations19 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.

Electrical Engineering

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