Sahar Qaadan

16 papers C 1Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Probabilities Feature Enrichment for Improved Early Diabetes Prediction.
Algorithms
Haneen Altartouri, Sahar Qaadan, Yousef K. Qawqzeh, Mohammed Hamdoun
2025 — conf
A Comprehensive AI-Driven Approach Using EHG Signal Analysis for Delivery Type Prediction.
RTSI
Sahar Qaadan, Abdullah Ahmed, Reda AlSalman, Omar Obeidat, Suleimman Alsweedan, Aiman Alshare
2025 — conf
A Conceptual Framework for Predicting Electric Vehicles Battery Remaining Useful Life used for Fleet Management Utilizing Survival Analysis.
ICCMA
Majsa Ammouriova, Sahar Qaadan
2025 — conf
A Hybrid Weibull-Physics-Informed Neural Network Framework for Early Anomaly Detection in Lithium-Ion Batteries.
ICCMA
Haneen Altartouri, Sahar Qaadan, Rami Alazrai, Aiman Alshare
2025 — conf
AI Meets Reliability: Predicting Li-Ion Battery SOH with Weibull and Wöhler S-N Models.
RTSI
Sahar Qaadan, Abdelrahman AlZamer, Moaz Mohamed, Aiman Alshare, Alexander Popp, Benedikt Schmuelling
2025 J jnl
Causal Physics-Infused Hybrid Learning (CPIHL) Framework for Next-Gen Battery Health Forecasting.
IEEE Access
Sahar Qaadan, Aiman Alshare, Rami Alazrai, Alexander Popp, Benedikt Schmuelling
2025 J jnl
Electroencephalogram Dataset of Visually Imagined Arabic Alphabet for Brain-Computer Interface Design and Evaluation.
Data
Rami Alazrai, Khalid Naqi, Alaa Elkouni, Amr Hamza, Farah Hammam, Sahar Qaadan, Mohammad I. Daoud, Mostafa Z. Ali, Hasan Al-Nashash
2025 — conf
Introducing Feature Importance Consistency (FIC) in XAI Models: A Comprehensive Evaluation using Rank Correlation Coefficients.
CIVEMSA
Sahar Qaadan, Abdelrahman AlZamer, Moaz Mohamed, Aiman Alshare, Benedikt Schmuelling
2022 — conf
Forecasting Solar Photovoltaic Power Output in the German Jordanian University in Amman Using Artificial Intelligence and Machine Learning Algorithms.
ICCMA
Sahar Qaadan, Aiman Alshare
2020 — —
Budgeted stochastic coordinate ascent for large-scale kernelized dual support vector machine training
Sahar Qaadan
2019 C conf
Dual SVM Training on a Budget.
ICPRAM
Sahar Qaadan, Merlin Schüler, Tobias Glasmachers
2019 — conf
Online Budgeted Stochastic Coordinate Ascent for Large-Scale Kernelized Dual Support Vector Machine Training.
ICPRAM (Revised Selected Papers)
Sahar Qaadan, Abhijeet Pendyala, Merlin Schüler, Tobias Glasmachers
2018 J jnl
Dual SVM Training on a Budget.
CoRR
Sahar Qaadan, Merlin Schüler, Tobias Glasmachers
2018 J jnl
Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM Training.
CoRR
Sahar Qaadan, Tobias Glasmachers
2018 — conf
Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search.
LOD
Tobias Glasmachers, Sahar Qaadan
2018 J jnl
Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search.
CoRR
Tobias Glasmachers, Sahar Qaadan