A5027628907- Mental Health via Writing
- Healthcare Policy and Management
- Emotion and Mood Recognition
- COVID-19 and Mental Health
- Ethics in Clinical Research
- Privacy, Security, and Data Protection
- Advanced Sensor and Energy Harvesting Materials
- Digital Mental Health Interventions
- Nanofabrication and Lithography Techniques
- Primary Care and Health Outcomes
- Influenza Virus Research Studies
- Law, AI, and Intellectual Property
- Respiratory viral infections research
- Patient Satisfaction in Healthcare
- Medical Imaging and Analysis
- Artificial Intelligence in Healthcare and Education
- Brain Tumor Detection and Classification
- Electronic Packaging and Soldering Technologies
- Viral gastroenteritis research and epidemiology
- Sentiment Analysis and Opinion Mining
- Advanced Neural Network Applications
Jordan University of Science and Technology
2023-2024
Jerash University
2024
Accurate bone fracture identification remains critical in medical diagnostics, motivating researchers to investigate deep-learning systems address this difficulty. The performance of convolutional neural networks (CNN) and region-based (RCNN) diagnosis is investigated paper. Algorithmic efficacy was using a complete set experiments involving various epochs, batch sizes, optimization techniques (Adam SGD). As discussed the discussion, results continuously highlight superiority RCNN algorithm,...
Depression has become the disease of times and caused suffering disruption in lives millions people around world all ages. Method: We obtained 16,581 Arabic tweets, whether they express depression or not, symptoms contain for 1439 Arab Twitter users. classified user is depressed not. used many machine learning algorithms: DT, RF, Mutational Naïve Bayes, AdaBoost , we also feature extraction like BOW TF-IDF. The result: Our experiments showed that Bayes with TF-IDF had highest accuracy 86%...
This study focuses on applying ITO (Indium Tin Oxide) thin film as a PET (Polyethylene Terephthalate) coating in solar cells. While films are already used this field, their efficiency varies based numerous factors, with the mechanical and electrical properties being most influential. Understanding optimizing these can significantly enhance cell industry. To achieve this, we conducted transmittance tests as-produced samples under various environmental conditions to investigate material...
In this study, we proposed a novel Multi-Fused Residual Convolutional Neural Network (MFR-CNN) with Auxiliary Fusing Layers (AuxFL) to diagnose various types of brain tumor MRI images. The MFR-CNN was designed handle four specific cases, namely glioma, meningioma, pituitary, and healthy images, obtained from reliable Kaggle databases. Our model integrated three state-of-the-art models into single feature extraction pipeline, incorporating partially frozen truncated layers. This strategic...
Background: The COVID-19 pandemic is the greatest world has witnessed in modern era. This caused suffering, disruption lives of millions people. Method: We got 16581 Arab tweets, whether they express depression or not, and what symptoms contain while keeping time series tweets to monitor 1439 Twitter users during two years 2019 2020. determined user was depressed once again 2020 period; determine impact on for each user. Result: have found that approximately 1.18% were classified with year...
Many patients get infected with flu, but some of them develop severe disease that mandates ICU admission. The aim this study is to improve careful measures in dealing the for children and reduce possibility entering if they flu. We checked parameters its association admitting flu ICU. used a logistic regression model represent data determine significant insignificant factors. As focused on aged 0-16 years old, shows gender premature birth are factors play an important role discovered who...