12 citations
7 papers
Mitigating the OWASP Top 10 For Large Language Models Applications using Intelligent Agents
Mohammad Fasha, Faisal Abul Rub, Nasim Matar +2
Large Language Models (LLMs) have emerged as a transformative and disruptive technology, enabling a wide range of applications in natural language processing, machine translation,…
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-…
Bombardier Beetle Optimizer: A Novel Bio-Inspired Algorithm for Global Optimization
Hisham A. Shehadeh, Mohd Yamani Idna Idris, Iqbal H. Jebril
In this paper, a novel bio-inspired optimization algorithm is proposed, called Bombardier Beetle Optimizer (BBO). This type of species is very intelligent, which has an ability to…
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…
Classifying Dental Care Providers Through Machine Learning with Features Ranking
Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh +2
This study investigates the application of machine learning (ML) models for classifying dental providers into two categories - standard rendering providers and safety net clinic (S…
Perceptions of Smartphone Users Acceptance and Adoption of Mobile Commerce (MC) The Case of Jordan
Ahmad Nabot, Firas Omar, Mohammed Almousa
This study investigates smartphone users perceptions of adopting and accepting Mobile Commerce (MC) based on users perceived adoption under the extended Technology Acceptance Model…