Abdullah Alsaeedi
YOU?
Author Swipe
View article: Sentiment analysis of YouTube videos comments for children using machine learning and deep learning
Sentiment analysis of YouTube videos comments for children using machine learning and deep learning Open
Nowadays, online connectivity is increasing with the rapid growth of the world wide web. Consequently, content shared across numerous platforms varies in appropriateness. it is necessary to ensure the suitability of the content since child…
View article: Exploring social media sentiment patterns for improved cyberbullying detection
Exploring social media sentiment patterns for improved cyberbullying detection Open
Cases of online bullying and aggressive behaviors directed at social media users have surged in recent years. These behaviors have had negative impacts on victims from a wide range of demographic groups. While efforts have been made …
View article: Dynamic Clustering-driven Pruning Framework for Efficient Machine Learning-based Anterior Cruciate Ligament Injury Risk Biomarker Classification
Dynamic Clustering-driven Pruning Framework for Efficient Machine Learning-based Anterior Cruciate Ligament Injury Risk Biomarker Classification Open
Background: Anterior cruciate ligament (ACL) injuries are common in athletes and can lead to long-term physical impairment. Machine learning models offer promising tools for predicting injury risk using high-dimensional biomarker data. How…
View article: Skeletal, dentoalveolar and soft tissue effects of different maxillary expansion appliances in cleft lip/palate patients: A systematic review and frequentist network meta-analysis
Skeletal, dentoalveolar and soft tissue effects of different maxillary expansion appliances in cleft lip/palate patients: A systematic review and frequentist network meta-analysis Open
The protocol for this systematic review was registered at the International Prospective Register of Systematic Reviews (PROSPERO, No.: CRD42023489536).
View article: Machine Learning and Vision Transformer for CT Scanners' Calibration and Quality Assessment
Machine Learning and Vision Transformer for CT Scanners' Calibration and Quality Assessment Open
In this study, we present the process and research for finding the best machine learning methodology and innovativeapproach to evaluate the image quality in Computed Tomography (CT) scanners by predicting Signal-to-Noise Ratio (SNR) andCon…
View article: Beyond Traditional Biometrics: Harnessing Chest X-Ray Features for Robust Person Identification
Beyond Traditional Biometrics: Harnessing Chest X-Ray Features for Robust Person Identification Open
Person identification through chest X-ray radiographs stands as a vanguard in both healthcare and biometrical security domains. In contrast to traditional biometric modalities, such as facial recognition, fingerprints and iris scans, the r…
View article: Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model
Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model Open
Sign language is an essential means of communication for individuals with hearing disabilities. However, there is a significant shortage of sign language interpreters in some languages, especially in Saudi Arabia. This shortage results in …
View article: The risk of tuberculosis infection in Saudi patients receiving adalimumab, etanercept, and tocilizumab therapy
The risk of tuberculosis infection in Saudi patients receiving adalimumab, etanercept, and tocilizumab therapy Open
In our study, patients receiving Etanercept, Adalimumab and Tocilizumab had no increased risk of TB infection. Only 0.3% of patients treated with Adalimumab and 0.9% of patients treated with Etanercept converted to a positive IGRA during t…
View article: A Cloud-Based Ambulance Detection System Using YOLOv8 for Minimizing Ambulance Response Time
A Cloud-Based Ambulance Detection System Using YOLOv8 for Minimizing Ambulance Response Time Open
Ambulance vehicles face a challenging issue in minimizing the response time for an emergency call due to the high volume of traffic and traffic signal delays. Several research works have proposed ambulance vehicle detection approaches and …
View article: Leveraging User-Generated Comments and Fused BiLSTM Models to Detect and Predict Issues with Mobile Apps
Leveraging User-Generated Comments and Fused BiLSTM Models to Detect and Predict Issues with Mobile Apps Open
In the last decade, technical advancements and faster Internet speeds have also led to an increasing number of mobile devices and users.Thus, all contributors to society, whether young or old members, can use these mobile apps.The use of t…
View article: Combinatorial Analysis of Deep Learning and Machine Learning Video Captioning Studies: A Systematic Literature Review
Combinatorial Analysis of Deep Learning and Machine Learning Video Captioning Studies: A Systematic Literature Review Open
Recent improvements formulated in the area of video captioning have brought rapid revolutions in its methods and the performance of its models. Machine learning and deep learning techniques are both employed in this regard. However, there …
View article: Detection of the pathological exposure of pulp using an artificial intelligence tool: a multicentric study over periapical radiographs
Detection of the pathological exposure of pulp using an artificial intelligence tool: a multicentric study over periapical radiographs Open
Background Introducing artificial intelligence (AI) into the medical field proved beneficial in automating tasks and streamlining the practitioners’ lives. Hence, this study was conducted to design and evaluate an AI tool called Make Sure …
View article: Hybrid weakly supervised learning with deep learning technique for detection of fake news from cyber propaganda
Hybrid weakly supervised learning with deep learning technique for detection of fake news from cyber propaganda Open
Due to the emergence of social networking sites and social media platforms, there is faster information dissemination to the public. Unverified information is widely disseminated across social media platforms without any apprehension about…
View article: Children’s Safety on YouTube: A Systematic Review
Children’s Safety on YouTube: A Systematic Review Open
Background: With digital transformation and growing social media usage, kids spend considerable time on the web, especially watching videos on YouTube. YouTube is a source of education and entertainment media that has a significant impact …
View article: Deep Learning Application in the Detection of Pathological Exposure of Pulp Using Periapical Radiographs: A Retrospective Multicentric Study
Deep Learning Application in the Detection of Pathological Exposure of Pulp Using Periapical Radiographs: A Retrospective Multicentric Study Open
Background Introducing artificial intelligence into the medical field proved to be beneficial in automating tasks and streamlining the practitioners’ lives. Hence, this study was conducted to design and evaluate an Artificial Intelligence …
View article: Energy Efficient Data Dissemination for Large-Scale Smart Farming Using Reinforcement Learning
Energy Efficient Data Dissemination for Large-Scale Smart Farming Using Reinforcement Learning Open
Smart farming is essential to increasing crop production, and there is a need to consider the technological advancements of this era; modern technology has helped us to gain more accuracy in fertilizing, watering, and adding pesticides to …
View article: Additional file 4 of Detection of the pathological exposure of pulp using an artificial intelligence tool: a multicentric study over periapical radiographs
Additional file 4 of Detection of the pathological exposure of pulp using an artificial intelligence tool: a multicentric study over periapical radiographs Open
Additional file 4.
View article: Additional file 1 of Detection of the pathological exposure of pulp using an artificial intelligence tool: a multicentric study over periapical radiographs
Additional file 1 of Detection of the pathological exposure of pulp using an artificial intelligence tool: a multicentric study over periapical radiographs Open
Additional file 1: Test Dataset 1: Digital radiograph of upper posterior teeth. Test Dataset 2: Digital radiograph of upper posterior teeth, Test Dataset 3: Digital radiograph of upper posterior teeth, Test Dataset 4: Digital radiograph of…
View article: SRC: Superior Robustness of COVID-19 Detection from Noisy Cough Data Using GFCC
SRC: Superior Robustness of COVID-19 Detection from Noisy Cough Data Using GFCC Open
This research is focused on a highly effective and untapped feature called gammatone frequency cepstral coefficients (GFCC) for the detection of COVID-19 by using the nature-inspired meta-heuristic algorithm of deer hunting optimization an…
View article: A Novel Approach for Classifying Brain Tumours Combining a SqueezeNet Model with SVM and Fine-Tuning
A Novel Approach for Classifying Brain Tumours Combining a SqueezeNet Model with SVM and Fine-Tuning Open
Cancer of the brain is most common in the elderly and young and can be fatal in both. Brain tumours can heal better if they are diagnosed and treated quickly. When it comes to processing medical images, the deep learning method is essentia…
View article: A systematic review of non-functional requirements mapping into architectural styles
A systematic review of non-functional requirements mapping into architectural styles Open
Fortunately, the software attracted enough businesses to the market, allowing them to earn money in less time with less work and more accurate results. Software development life cycle (SDLC) is used for software development as it is respon…
View article: Optimizing Storage for Energy Conservation in Tracking Wireless Sensor Network Objects
Optimizing Storage for Energy Conservation in Tracking Wireless Sensor Network Objects Open
The amount of needed control messages in wireless sensor networks (WSN) is affected by the storage strategy of detected events. Because broadcasting superfluous control messages consumes excess energy, the network lifespan can be extended …
View article: The Association between Admission Procalcitonin Level and The Severity of COVID-19 Pneumonia: A Retrospective Cohort Study
The Association between Admission Procalcitonin Level and The Severity of COVID-19 Pneumonia: A Retrospective Cohort Study Open
Background and Objectives: An elevated procalcitonin level has classically been linked to bacterial infections. Data on the association between elevated procalcitonin and the outcome of coronavirus disease 2019 (COVID-19) are conflicting. …
View article: The relation between depression and its impact on dry eye syndrome among health related students in Umm Al-Qura University - A cross-sectional study
The relation between depression and its impact on dry eye syndrome among health related students in Umm Al-Qura University - A cross-sectional study Open
Background: Dry eye disease encompasses a vital problem among medical students due to their daily computer use.This study aimed to explore the connection between DED and depression amongst medical students of Umm Al-Qura University.Methods…
View article: Stress Hyperglycemia Ratio as a Prognostic Marker in Diabetic Patients Hospitalized with COVID-19
Stress Hyperglycemia Ratio as a Prognostic Marker in Diabetic Patients Hospitalized with COVID-19 Open
Evidence is conflicting about the diabetes characteristics associated with worse outcome among hospitalized COVID-19 patients. We aimed to assess the role of stress hyperglycemia ratio (SHR) as a prognostic marker among them. In our retros…
View article: Multi-constraints based deep learning model for automated segmentation and diagnosis of coronary artery disease in X-ray angiographic images
Multi-constraints based deep learning model for automated segmentation and diagnosis of coronary artery disease in X-ray angiographic images Open
Background The detection of coronary artery disease (CAD) from the X-ray coronary angiography is a crucial process which is hindered by various issues such as presence of noise, insufficient contrast of the input images along with the unce…
View article: Enhancing multi-class web video categorization model using machine and deep learning approaches
Enhancing multi-class web video categorization model using machine and deep learning approaches Open
With today’s digital revolution, many people communicate and collaborate in cyberspace. Users rely on social media platforms, such as Facebook, YouTube and Twitter, all of which exert a considerable impact on human lives. In particul…
View article: The Impact of Personality and Demographic Variables in Collaborative Filtering of User Interest on Social Media
The Impact of Personality and Demographic Variables in Collaborative Filtering of User Interest on Social Media Open
The advent of social networks and micro-blogging sites online has led to an abundance of user-generated content. Hence, the enormous amount of content is viewed as inappropriate and unimportant information by many users on social media. Th…
View article: An Interactive Scholarly Collaborative Network Based on Academic Relationships and Research Collaborations
An Interactive Scholarly Collaborative Network Based on Academic Relationships and Research Collaborations Open
In this era of digital transformation, when the amount of scholarly literature is rapidly growing, hundreds of papers are published online daily with regard to different fields, especially in relation to academic subjects. Therefore, it di…
View article: PERIAPICAL LESIONS DETECTION USING AN ARTIFICIAL INTELLIGENCE TOOL: A RETROSPECTIVE MULTICENTRIC STUDY OVER PERIAPICAL RADIOGRAPHS
PERIAPICAL LESIONS DETECTION USING AN ARTIFICIAL INTELLIGENCE TOOL: A RETROSPECTIVE MULTICENTRIC STUDY OVER PERIAPICAL RADIOGRAPHS Open
This study was conducted to design and evaluate an AI tool called Make Sure periapical explorer (MSp) to detect periapical lesions on digital periapical radiographs and to compare its performance with the dentists'. This study was a diagno…