Magnetic force classifier: a Novel Method for Big Data classification

AB Hassanat, HN Ali, AS Tarawneh, M Alrashidi… - IEEE …, 2022 - ieeexplore.ieee.org
There are a plethora of invented classifiers in Machine learning literature, however, there is
no optimal classifier in terms of accuracy and time taken to build the trained model …

A Data Collection Quality Model for Big Data Systems

M Abdallah, A Hammad… - 2023 International …, 2023 - ieeexplore.ieee.org
Big data applications have gained widespread usage across various fields, including
healthcare, business, and education. The effectiveness and accuracy of these applications …

CTELC: A Constant-Time Ensemble Learning Classifier Based on KNN for Big Data

AS Tarawneh, ES Alamri, NN Al-Saedi… - IEEE …, 2023 - ieeexplore.ieee.org
Big data classification is a challenging task because most known classification methods
need a long time and a lot of processing resources to execute such a task and use the vast …

Towards a data collection quality model for big data applications

M Abdallah, A Hammad, W AlZyadat - International Conference on …, 2021 - Springer
Big Data and its uses are widely used in many applications and fields; artificial information,
medical care, business, and much more. Big Data sources are widely distributed and …

A proposed model for eliminating nonfunctional requirements in Agile Methods using natural language processes

AM Almanaseer, W Alzyadat, M Muhairat… - … on Emerging Trends …, 2022 - ieeexplore.ieee.org
A critical step in the creation of software is the elicitation of requirements. According to most
of the research, nonfunctional requirements get less attention from nonfunctional …

Intelligent Model for Optimizing Gantt Chart in the Planning Stage

N Bdair, W Alzyadat, S AlZubi - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Scheduling tasks under resource constraints is essential for project success, and this
research focuses on scheduling tasks efficiently to minimize completion time. To tackle this …

A Roadmap for Artificial Intelligence Augmented Software Development Life Cycle: Aspects of Knowledge Vaporization

W Alzyadat, M Al-Madi, M Muhairat… - 2023 International …, 2023 - ieeexplore.ieee.org
Artificial Intelligence Augmented Software Development Life Cycle is a process for
developing software that incorporates AI techniques and technologies. One aspect of …

Customer Personality Segmentation Using K-Means Clustering

L Al-Dabbas, H Al-Tarawneh… - 2023 International …, 2023 - ieeexplore.ieee.org
Enhancing sales strategies and developing targeted marketing approaches that effectively
resonate with customers are crucial for achieving success in today's highly competitive …

[PDF][PDF] International Journal of Transport Development and Integration

MQ Ghadi - Integration, 2023 - researchgate.net
Accepted: 15 May 2023 This work attempts to develop a universal model for predicting micro-
and macro-level accident frequency. The study implies that the number of accidents may …

A new methodology for evaluating the accident risk of Level 3 autonomous vehicles

MQ GHADI - Journal of the Eastern Asia Society for Transportation …, 2024 - jstage.jst.go.jp
抄録 Before the era of smart mobility there will be a transitional period in which both
autonomous vehicles (AVs) and human-driving vehicles (HDVs) share the same road …