192 citations · 1.9k across the 53 of their papers we have counts for
18 papers · 1 filter
Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction
Ashish Kumar, Abeer Alsadoon, P. W. C. Prasad +4
The prediction of stock price movement direction is significant in financial circles and academic. Stock price contains complex, incomplete, and fuzzy information which makes it an…
Mixed Reality using Illumination-aware Gradient Mixing in Surgical Telepresence: Enhanced Multi-layer Visualization
Nirakar Puri, Abeer Alsadoon, P. W. C. Prasad +2
Background and aim: Surgical telepresence using augmented perception has been applied, but mixed reality is still being researched and is only theoretical. The aim of this work is…
Chaotic Fitness Dependent Optimizer for Planning and Engineering Design
Hardi M. Mohammed, Tarik A. Rashid
Fitness Dependent Optimizer (FDO) is a recent metaheuristic algorithm that mimics the reproduction behavior of the bee swarm in finding better hives. This algorithm is similar to P…
A Novel Cluster Detection of COVID-19 Patients and Medical Disease Conditions Using Improved Evolutionary Clustering Algorithm Star
Bryar A. Hassan, Tarik A. Rashid, Hozan K. Hamarashid
With the increasing number of samples, the manual clustering of COVID-19 and medical disease data samples becomes time-consuming and requires highly skilled labour. Recently, sever…
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…
Artificial Intelligence Algorithms for Natural Language Processing and the Semantic Web Ontology Learning
Bryar A. Hassan, Tarik A. Rashid
Evolutionary clustering algorithms have considered as the most popular and widely used evolutionary algorithms for minimising optimisation and practical problems in nearly all fiel…
A Novel Solution of an Elastic Net Regularization for Dementia Knowledge Discovery using Deep Learning
Kshitiz Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon +4
Background and Aim: Accurate classification of Magnetic Resonance Images (MRI) is essential to accurately predict Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) conver…
A Review-based Taxonomy for Secure Health Care Monitoring: Wireless Smart Cameras
Ravi Teja Batchu, Abeer Alsadoon, P. W. C. Prasad +4
Health records data security is one of the main challenges in e-health systems. Authentication is one of the essential security services to support the stored data confidentiality,…
Deep Learning for Breast Cancer Classification: Enhanced Tangent Function
Ashu Thapa, Abeer Alsadoon, P. W. C. Prasad +5
Background and Aim: Recently, deep learning using convolutional neural network has been used successfully to classify the images of breast cells accurately. However, the accuracy o…
Child Drawing Development Optimization Algorithm based on Child's Cognitive Development
Sabat Abdulhameed, Tarik A. Rashid
This paper proposes a novel metaheuristic Child Drawing Development Optimization (CDDO) algorithm inspired by the child's learning behaviour and cognitive development using the gol…
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
Tawsifur Rahman, Alex Akinbi, Muhammad E. H. Chowdhury +5
The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health…
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…
Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets
Bryar A. Hassan, TarikA. Rashid, Seyedali Mirjalili
This article presents the data used to evaluate the performance of evolutionary clustering algorithm star (ECA*) compared to five traditional and modern clustering algorithms. Two…
Deep Learning for Vision-Based Fall Detection System: Enhanced Optical Dynamic Flow
Sagar Chhetri, Abeer Alsadoon, Thair Al Dala in +3
Accurate fall detection for the assistance of older people is crucial to reduce incidents of deaths or injuries due to falls. Meanwhile, a vision-based fall detection system has sh…
A Novel Solution of Using Mixed Reality in Bowel and Oral and Maxillofacial Surgical Telepresence: 3D Mean Value Cloning algorithm
Arjina Maharjan, Abeer Alsadoon, P. W. C. Prasad +4
Background and aim: Most of the Mixed Reality models used in the surgical telepresence are suffering from discrepancies in the boundary area and spatial-temporal inconsistency due…
A New K means Grey Wolf Algorithm for Engineering Problems
Hardi M. Mohammed, Zrar Kh. Abdul, Tarik A. Rashid +2
Purpose: The development of metaheuristic algorithms has increased by researchers to use them extensively in the field of business, science, and engineering. One of the common meta…
A Multi-disciplinary Ensemble Algorithm for Clustering Heterogeneous Datasets
Bryar A. Hassan, Tarik A. Rashid
Clustering is a commonly used method for exploring and analysing data where the primary objective is to categorise observations into similar clusters. In recent decades, several al…