52 citations
- Jadara UniversityJO8 papers
- Joint Institute for Nuclear AstrophysicsUS4 papers
- Petra UniversityJO4 papers
- University of JordanJO4 papers
- Massachusetts Institute of TechnologyUS3 papers
- University of TabukSA3 papers
- Al-Balqa Applied UniversityJO2 papers
- Jordan HospitalJO2 papers
- Museu de Astronomia e Ciências AfinsBR2 papers
- Taibah UniversitySA2 papers
- Universidade de São PauloBR2 papers
- University of ChicagoUS2 papers
39 papers
Parameter Efficient Fine Tuning Llama 3.1 for Answering Arabic Legal Questions: A Case Study on Jordanian Laws
Mohammed Fasha, Bassam Hammo, Bilal Sowan +2
This study uses Jordanian law as a case study to explore the fine-tuning of the Llama-3.1 large language model for Arabic question-answering. Two versions of the model - Llama-3.1-…
Discovery of an Star in XP Spectra
Guilherme Limberg, Vinicius M. Placco, Alexander P. Ji +5
We report on the discovery of GDR3_526285 ( DR3 Source ID 5262850721755411072), a star with and one of the lowest metal ($\text{atomic number} >…
Machine Learning-Based Quantification of Vesicoureteral Reflux with Enhancing Accuracy and Efficiency
Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah +4
Vesicoureteral reflux (VUR) is traditionally assessed using subjective grading systems, which introduces variability in diagnosis. This study investigates the use of machine learni…
Diabetes Prediction and Management Using Machine Learning Approaches
Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh, Mohammad Subhi Al-Batah
Diabetes has emerged as a significant global health issue, especially with the increasing number of cases in many countries. This trend Underlines the need for a greater emphasis o…
Improving Oral Cancer Outcomes Through Machine Learning and Dimensionality Reduction
Mohammad Subhi Al-Batah, Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon
Oral cancer presents a formidable challenge in oncology, necessitating early diagnosis and accurate prognosis to enhance patient survival rates. Recent advancements in machine lear…
Optimizing Genetic Algorithms with Multilayer Perceptron Networks for Enhancing TinyFace Recognition
Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh
This study conducts an empirical examination of MLP networks investigated through a rigorous methodical experimentation process involving three diverse datasets: TinyFace, Heart Di…