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Department of Advanced Battery Convergence Engineering (미래전지융합공학과)
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A Classified Branch-CapNet: A Multi-Modal Model with Classified Branches for the Capacity Prediction of Li-Ion Battery Cathodes
A novel linear memristor model for data storage and synaptic applications
A highly effective and robust structure-based LSTM with feature-vector tuning framework for high-accuracy SOC estimation in EV
A CO2-to-C2H4 Conversion Performance of an Electrochemical Flow Cell Using H2SO4 Electrolyte Solution
A highly effective data modeling approach for transformers based on1D CNN methods for improving SOC estimation accuracy
A High Efficiency Bromine-complexing Agent for Zinc-bromine Flow Batteries: 1,2-dimethyl-3-ethylimidazolium Bromide Compound
A Comparison of LSTM and GRU Networks using many to many method for State of Charge estimation on EV
A deep learning model for driving the interaction of data-variability features in dynamic-stress time series’ information
Fast-Growth Polymer: Fullerene Bulk-Heterojunction Thin Films for Efficient Organic Photovoltaics
배터리 충전상태를 추정하는 딥러닝 모델의 개선된 최적화 PSO 알고리즘
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Singh, Vivek Pratap
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Yang, Jaehyeok
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Yoon, Chaerin
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김윤선
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이소현
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한병직
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ABSOLUTE ERROR MAE
1
Battery management system (BMS)
1
BLENDS
1
Boundary lock
1
bulk heterojunction
1
Deep learning
1
DEVICE
1
FILTER
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GRADIENT DESCENT
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gravimetric capacity prediction
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Date Issued
2025
3
2024
6
Type
Conference
5
Article
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Language
ENG
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Energy
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Journal of Computational Electronics
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Nanomaterials
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