Sahar Qaadan

According to our database, Sahar Qaadan authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Probabilities Feature Enrichment for Improved Early Diabetes Prediction.

Haneen Altartouri, Sahar Qaadan, Yousef K. Qawqzeh, Mohammed Hamdoun

Algorithms, 2026

2025

Electroencephalogram Dataset of Visually Imagined Arabic Alphabet for Brain-Computer Interface Design and Evaluation.

Rami Alazrai, Khalid Naqi, Alaa Elkouni, Amr Hamza, Farah Hammam, Sahar Qaadan, Mohammad I. Daoud, Mostafa Z. Ali, Hasan Al-Nashash

Data, 2025

Causal Physics-Infused Hybrid Learning (CPIHL) Framework for Next-Gen Battery Health Forecasting.

Sahar Qaadan, Aiman Alshare, Rami Alazrai, Alexander Popp, Benedikt Schmuelling

IEEE Access, 2025

AI Meets Reliability: Predicting Li-Ion Battery SOH with Weibull and Wöhler S-N Models.

Sahar Qaadan, Abdelrahman AlZamer, Moaz Mohamed, Aiman Alshare, Alexander Popp, Benedikt Schmuelling

Proceedings of the 9th IEEE Forum on Research and Technologies for Society and Industry, 2025

A Comprehensive AI-Driven Approach Using EHG Signal Analysis for Delivery Type Prediction.

Sahar Qaadan, Abdullah Ahmed, Reda AlSalman, Omar Obeidat, Suleimman Alsweedan, Aiman Alshare

Proceedings of the 9th IEEE Forum on Research and Technologies for Society and Industry, 2025

A Conceptual Framework for Predicting Electric Vehicles Battery Remaining Useful Life used for Fleet Management Utilizing Survival Analysis.

Majsa Ammouriova, Sahar Qaadan

Proceedings of the 2025 13th International Conference on Control, 2025

A Hybrid Weibull-Physics-Informed Neural Network Framework for Early Anomaly Detection in Lithium-Ion Batteries.

Haneen Altartouri, Sahar Qaadan, Rami Alazrai, Aiman Alshare

Proceedings of the 2025 13th International Conference on Control, 2025

Introducing Feature Importance Consistency (FIC) in XAI Models: A Comprehensive Evaluation using Rank Correlation Coefficients.

Sahar Qaadan, Abdelrahman AlZamer, Moaz Mohamed, Aiman Alshare, Benedikt Schmuelling

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2025

2022

Forecasting Solar Photovoltaic Power Output in the German Jordanian University in Amman Using Artificial Intelligence and Machine Learning Algorithms.

Sahar Qaadan, Aiman Alshare

Proceedings of the 10th International Conference on Control, Mechatronics and Automation, 2022

2020

Budgeted stochastic coordinate ascent for large-scale kernelized dual support vector machine training

Sahar Qaadan

PhD thesis, 2020

2019

Dual SVM Training on a Budget.

Sahar Qaadan, Merlin Schüler, Tobias Glasmachers

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Online Budgeted Stochastic Coordinate Ascent for Large-Scale Kernelized Dual Support Vector Machine Training.

Sahar Qaadan, Abhijeet Pendyala, Merlin Schüler, Tobias Glasmachers

Proceedings of the Pattern Recognition Applications and Methods, 2019

2018

Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM Training.

Sahar Qaadan, Tobias Glasmachers

CoRR, 2018

Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search.

Tobias Glasmachers, Sahar Qaadan

Proceedings of the Machine Learning, Optimization, and Data Science, 2018