Nabil Alrajeh
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View article: From Data to Diagnosis: A Novel Deep Learning Model for Early and Accurate Diabetes Prediction
From Data to Diagnosis: A Novel Deep Learning Model for Early and Accurate Diabetes Prediction Open
Background: Diabetes remains a major global health challenge, contributing significantly to premature mortality due to its potential progression to organ failure if not diagnosed early. Traditional diagnostic approaches are subject to huma…
View article: A Novel Explainable Deep Learning Framework for Accurate Diabetes Mellitus Prediction
A Novel Explainable Deep Learning Framework for Accurate Diabetes Mellitus Prediction Open
Diabetes, a chronic condition caused by insufficient insulin production in the pancreas, presents significant health risks. Its increasing global prevalence necessitates the development of accurate and efficient predictive algorithms to su…
View article: Correction: An explainable AI based new deep learning solution for efficient heart disease prediction at early stages
Correction: An explainable AI based new deep learning solution for efficient heart disease prediction at early stages Open
View article: Machine Learning-Based Stacking Ensemble Model for Prediction of Heart Disease with Explainable AI and K-Fold Cross-Validation: A Symmetric Approach
Machine Learning-Based Stacking Ensemble Model for Prediction of Heart Disease with Explainable AI and K-Fold Cross-Validation: A Symmetric Approach Open
One of the most complex and prevalent diseases is heart disease (HD). It is among the main causes of death around the globe. With changes in lifestyles and the environment, its prevalence is rising rapidly. The prediction of the disease in…
View article: Scalable Hybrid Deep Models for Individual Pharmacy Cost Prediction
Scalable Hybrid Deep Models for Individual Pharmacy Cost Prediction Open
In this study, we introduce two innovative hybrid models designed for predicting individual pharmacy costs: the Autoencoder-Gated Recurrent Unit (Auto-GRU) and the GoogLeNet-Residual Network (GR-Net). Utilizing data from high utilizers obt…
View article: DB-Net and DVR-Net: Optimized New Deep Learning Models for Efficient Cardiovascular Disease Prediction
DB-Net and DVR-Net: Optimized New Deep Learning Models for Efficient Cardiovascular Disease Prediction Open
Cardiovascular Disease (CVD) is one of the main causes of death in recent years. To overcome the challenges faced during diagnosing CVD at an early stage, deep learning has been used. With advancements in technology, the clinical practice …
View article: A Deep Learning Approach for Prediction of Heart Disease using Ensemble Learning Techniques
A Deep Learning Approach for Prediction of Heart Disease using Ensemble Learning Techniques Open
Heart Disease (HD) stands as a significant contributor to escalating mortality rates worldwide, impacting communities on a vast scale. While numerous Deep Learning (DL) methodologies have been proposed for HD detection and diagnosis, prior…
View article: Enhanced prediction of stock markets using a novel deep learning model PLSTM-TAL in urbanized smart cities
Enhanced prediction of stock markets using a novel deep learning model PLSTM-TAL in urbanized smart cities Open
View article: Exploiting machine learning to tackle peculiar consumption of electricity in power grids: A step towards building green smart cities
Exploiting machine learning to tackle peculiar consumption of electricity in power grids: A step towards building green smart cities Open
The increasing demand for electricity in daily life highlights the need for Smart Cities (SC) to use energy efficiently. Both technical and Non‐Technical Losses (NTL), particularly those resulting from electricity theft, present powerful o…
View article: Quantum Walks with Coins Simultaneously Depending Upon Step and Position
Quantum Walks with Coins Simultaneously Depending Upon Step and Position Open
View article: Hi-Le and HiTCLe: Ensemble Learning Approaches for Early Diabetes Detection Using Deep Learning and Explainable Artificial Intelligence
Hi-Le and HiTCLe: Ensemble Learning Approaches for Early Diabetes Detection Using Deep Learning and Explainable Artificial Intelligence Open
Diabetes is a metabolic disease caused by the body’s failure to use insulin or break down meals correctly. Every year, an alarming number of new cases of diabetes are recorded. A poor lifestyle and an unfavorable environment are the two ma…
View article: A Novel Blending Approach for Smoking Status Prediction in Hidden Smokers to Reduce Cardiovascular Disease Risk
A Novel Blending Approach for Smoking Status Prediction in Hidden Smokers to Reduce Cardiovascular Disease Risk Open
Smoking has a serious complicated impact on Cardiovascular Health (CVH), which makes it an easily controlled risk factor for Cardiovascular Disease (CVD). The importance of early diagnosis and treatment is crucial because of CVD, which rem…
View article: Heart Disease Prediction Using Novel Ensemble and Blending Based Cardiovascular Disease Detection Networks: EnsCVDD-Net and BlCVDD-Net
Heart Disease Prediction Using Novel Ensemble and Blending Based Cardiovascular Disease Detection Networks: EnsCVDD-Net and BlCVDD-Net Open
Cardiovascular Diseases (CVDs) have emerged as a significant physiological condition, being a primary contributor to mortality. Timely and precise diagnosis of heart disease is crucial to safeguard patients from additional harm. Recent stu…
View article: Mitigating anomalous electricity consumption in smart cities using an AI‐based stacked‐generalization technique
Mitigating anomalous electricity consumption in smart cities using an AI‐based stacked‐generalization technique Open
Energy management and efficient asset utilization play an important role in the economic development of a country. The electricity produced at the power station faces two types of losses from the generation point to the end user. These los…
View article: Data Diversity in Convolutional Neural Network Based Ensemble Model for Diabetic Retinopathy
Data Diversity in Convolutional Neural Network Based Ensemble Model for Diabetic Retinopathy Open
The medical and healthcare domains require automatic diagnosis systems (ADS) for the identification of health problems with technological advancements. Biomedical imaging is one of the techniques used in computer-aided diagnosis systems. O…
View article: Honesty-Based Social Technique to Enhance Cooperation in Social Internet of Things
Honesty-Based Social Technique to Enhance Cooperation in Social Internet of Things Open
The Social Internet of Things (SIoT) can be seen as integrating the social networking concept into the Internet of Things (IoT). Such networks enable different devices to form social relationships among themselves depending on pre-programm…
View article: Elephant Herding Robustness Evolution Algorithm With Multi-Clan Co-Evolution Against Cyber Attacks for Scale-Free Internet of Things in Smart Cities
Elephant Herding Robustness Evolution Algorithm With Multi-Clan Co-Evolution Against Cyber Attacks for Scale-Free Internet of Things in Smart Cities Open
A large number of sensors are deployed for performing various tasks in the smart cities. The sensors are connected with each other through the Internet that leads to the emergence of Internet of Things (IoT). As the time passes, the number…
View article: Heart Disease Prediction Using Stacking Model With Balancing Techniques and Dimensionality Reduction
Heart Disease Prediction Using Stacking Model With Balancing Techniques and Dimensionality Reduction Open
Heart disease is a serious worldwide health issue with wide-reaching effects. Since heart disease is one of the leading causes of mortality worldwide, early detection is crucial. Emerging technologies like Machine Learning (ML) are current…
View article: A New Framework for Fraud Detection in Bitcoin Transactions Through Ensemble Stacking Model in Smart Cities
A New Framework for Fraud Detection in Bitcoin Transactions Through Ensemble Stacking Model in Smart Cities Open
Bitcoin has a reputation of being used for unlawful activities, such as money laundering, dark web transactions, and payments for ransomware in the context of smart cities. Blockchain technology prevents illegal transactions, but cannot de…
View article: New Hybrid Deep Learning Models to Predict Cost From Healthcare Providers in Smart Hospitals
New Hybrid Deep Learning Models to Predict Cost From Healthcare Providers in Smart Hospitals Open
Accurate cost prediction of healthcare resources is challenging as diverse factors affect the overall prediction. The cost of healthcare providers is increasing exponentially as different healthcare providers charge differently for the sam…
View article: Efficient Deep Learning Models for Predicting Super-Utilizers in Smart Hospitals
Efficient Deep Learning Models for Predicting Super-Utilizers in Smart Hospitals Open
In healthcare, a huge amount is paid to meet the requirements of High-Need High-Cost (HNHC) patients, also known as super-utilizers. The major aim of the proposed study is to predict HNHC patients. This paper proposes hybrid Deep Learning …
View article: Driving Assistance System for Ambulances to Minimise the Vibrations in Patient Cabin
Driving Assistance System for Ambulances to Minimise the Vibrations in Patient Cabin Open
The ambulance service is the main transport for diseased or injured people which suffers the same acceleration forces as regular vehicles. These accelerations, caused by the movement of the vehicle, impact the performance of tasks executed…
View article: Detecting Nontechnical Losses in Smart Meters Using a MLP-GRU Deep Model and Augmenting Data via Theft Attacks
Detecting Nontechnical Losses in Smart Meters Using a MLP-GRU Deep Model and Augmenting Data via Theft Attacks Open
The current study uses a data-driven method for Nontechnical Loss (NTL) detection using smart meter data. Data augmentation is performed using six distinct theft attacks on benign users’ samples to balance the data from honest and theft sa…
View article: Develop an Optical Sensor to Detect Pollution Incidents in Sewerage
Develop an Optical Sensor to Detect Pollution Incidents in Sewerage Open
[EN] Cities are big consumers of energy and big producers of pollution. In the past years, the concept of smart cities has been applied to reduce the release of pollutants and to reduce energy consumption. In this article, we present a wir…
View article: Video Streaming Adaptive QoS Routing with Resource Reservation (VQoSRR) Model for SDN Networks
Video Streaming Adaptive QoS Routing with Resource Reservation (VQoSRR) Model for SDN Networks Open
Video streaming has become extremely widespread, especially with the growing number of users and the spread of mobile devices, along with the increase in the availability and diversity of multimedia applications and communication technolog…
View article: Employing a Machine Learning Boosting Classifiers Based Stacking Ensemble Model for Detecting Non Technical Losses in Smart Grids
Employing a Machine Learning Boosting Classifiers Based Stacking Ensemble Model for Detecting Non Technical Losses in Smart Grids Open
In the modern world, numerous opportunities help detect electricity theft happening in electricity grids due to the widespread shifting of people from old metering infrastructure to advanced metering infrastructure (AMI). It is done by stu…
View article: SWAP: Smart WAter Protocol for the Irrigation of Urban Gardens in Smart Cities
SWAP: Smart WAter Protocol for the Irrigation of Urban Gardens in Smart Cities Open
[EN] The implementation of Smart City projects has experimented a surge in the recent years with examples such as Smart Santander or Barcelona Smart City. Among the different domains that comprise the Smart City, water management has a gre…
View article: Erratum: Alnowibet et al. Healthcare Human Resources: Trends and Demand in Saudi Arabia. Healthcare 2021, 9, 955
Erratum: Alnowibet et al. Healthcare Human Resources: Trends and Demand in Saudi Arabia. Healthcare 2021, 9, 955 Open
Some details of the authors’ names, affiliations, and email addresses were incorrect in the original version of the article [...]
View article: A QoS-Based routing algorithm over software defined networks
A QoS-Based routing algorithm over software defined networks Open
View article: Healthcare Human Resources: Trends and Demand in Saudi Arabia
Healthcare Human Resources: Trends and Demand in Saudi Arabia Open
This paper estimates the impact of policies on the current status of Healthcare Human Resources (HHR) in Saudi Arabia and explores the initiatives that will be adopted to achieve Saudi Vision 2030. Retrospective time-series data from the M…