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Burçak Asal

Observed name: Burcak Asal
ORCID: 0009-0003-3729-8170
Observed ORCID: 0009-0003-3729-8170
OpenAlex ID: A5032501804
Solid-State Batteries: Chemistry, Battery, and Thermal Management System, Battery Assembly, and Applications—A Critical Review
2025 · Emre Biçer, Ahmet Aksöz, et al. · Batteries · 24
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Electrification in Maritime Vessels: Reviewing Storage Solutions and Long-Term Energy Management
2025 · Ahmet Aksoz, Burçak Asal, et al. · Applied Sciences · 18
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Ensemble-Based Knowledge Distillation for Video Anomaly Detection
2024 · Burçak Asal, Ahmet Burak Can · Applied Sciences · 13
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Advancing Electric Vehicle Infrastructure: A Review and Exploration of Battery-Assisted DC Fast Charging Stations
2024 · Ahmet Aksoz, Burçak Asal, et al. · Energies · 8
Enhancing Software Defect Prediction through Explainable AI: Integrating SHAP and LIME in a Voting Classifier Framework
2024 · Burçak Asal, Merve Özdeş Demir · International Artificial Intelligence and Data Processing Symposium (IDAP) · 7
Benchmarking TabNet, NODE, and FT-Transformer for Software Defect Prediction: An Empirical Comparison and Explainability Analysis
2026 · Burcak Asal, Burcu Yalciner · IEEE Access · 3
Interpretable Energy Forecasting: Comparative Analysis of Voting Regression and NODE Models for Electricity Power Consumption Prediction
2025 · Burcak Asal · International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) · 2
Enhancing Industrial IoT Cybersecurity with Explainable AI: A SHAP and LIME-Based Intrusion Detection Methodology
2025 · Burcak Asal, Alperen Cakin, et al. · International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) · 2
Cybersecurity risk mitigation and network anomaly detection in smart homes using machine learning and data mining
2026 · Mahmood Hijran Abdulrazaq, Cemal Koçak, et al. · PeerJ Computer Science · 1
Deep Learning and Explainable AI for Email Phishing Classification: A Comparative Study of TabNet, NODE and FT-Transformer Models
2025 · Burçak Asal, Saadin Oyucu, et al. · Journal of Polytechnic · 1
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Explainable Deep Learning for Breast Cancer Diagnosis Using NODE and FT-Transformer Models: A SHAP and LIME-Based Interpretability Study
2025 · Burcak Asal · International Symposium on Innovative Approaches in Smart Technologies (ISAS) · 1
Interpretable Deep Learning for Pulsar Star Classification with Explainable AI Techniques: A Comparative Analysis of TabNet and FT-Transformer Models
2025 · Burçak Asal · Signal Processing and Communications Applications Conference (SIU) · 1
Adaptive Video Anomaly Detection by Attention-Based Relational Knowledge Distillation
2025 · Burcak Asal, Ahmet Burak Can · IEEE Access · 1
Machine-Learning Prediction of Non-Suicidal Self-Injury in Adolescents: Analysis Code
2026 · Köse, Abidin Talha, Çöp, Esra, et al. · Zenodo (CERN European Organization for Nuclear Research)
Comparative Analysis of Deep Learning Models for Speech Enhancement in Noisy Environments
2026 · Saadin Oyucu, Burçak Asal, et al. · Signal Processing and Communications Applications Conference (SIU)
A Reliable and Explainable Ensemble Framework for Lithium‐Ion Battery Charge Estimation
2026 · Burçak Asal, Saadin Oyucu, et al. · Energy Storage
Explainable Pediatric Lung Capacity Prediction Using Category Embeddings and Mixture Density Networks
2026 · Burçak Asal
SHAP and LIME Enhanced Tsunami Detection with Stacking Based Integration of Advanced Tabular Deep Learning Models
2026 · Burçak Asal · International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA)
Explainable Tabular Deep Learning for Network Anomaly Detection: A Comparative Study of AutoInt and DANet Architectures
2026 · Burçak Asal · Cognitive Models and Artificial Intelligence Conference (AICCONF)
Health Status Prediction Supported by Explainable Machine Learning: A Voting Regression Analysis with SHAP and LIME
2026 · Burçak Asal · Cognitive Models and Artificial Intelligence Conference (AICCONF)
The analysis of voltage collapse induced by nonlinear loads in an arc furnace utilising deep learning-driven TabNet and NODE models
2026 · Burçak Asal, Saadin Oyucu, et al. · PeerJ Computer Science
Interpretable Classification of Laminar and Turbulent Flow Using Gated Deep Learning Models with SHAP-Based Explainability
2025 · Burçak Asal · International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
Transformer-Based Deep Learning Framework for Interpretable Cardiac Arrest Detection Using Tabular Clinical Data
2025 · Burçak Asal
Interpretable House Price Prediction Using Ensemble Learning and Explainable AI Techniques
2025 · Burcak Asal · International Symposium on Innovative Approaches in Smart Technologies (ISAS)
Anomaly Based Detection of Beaconing Attacks in Iot Integrated Scada Systems with Statistical and Unsupervised Learning Approaches
2025 · onur polat, Ferdi DOĞAN, et al. · SSRN Electronic Journal
Works count: 27
Citation count: 82
H-index: 5
I10-index: 3
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