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Interpreting CNN-RNN Hybrid Model-Based Ensemble Learning with Explainable Artificial Intelligence to Predict the Performance of Li-Ion Batteries in Drone Flights
Research article (Applied Sciences, 2024) · cited 15× · AI/ML
Interpreting CNN-RNN Hybrid Model-Based Ensemble Learning with Explainable Artificial Intelligence to Predict the Performance of Li-Ion Batteries in Drone Flights
Summary
Interpreting CNN-RNN Hybrid Model-Based Ensemble Learning with Explainable Artificial Intelligence to Predict the Performance of Li-Ion Batteries in Drone Flights is a scholarly article[1].
Key Facts
Interpreting CNN-RNN Hybrid Model-Based Ensemble Learning with Explainable Artificial Intelligence to Predict the Performance of Li-Ion Batteries in Drone Flights's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Interpreting CNN-RNN Hybrid Model-Based Ensemble Learning with Explainable Artificial Intelligence to Predict the Performance of Li-Ion Batteries in Drone Flights. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpreting-cnn-rnn-hybrid-model-based-ensemble-learning-with-explainable-artificial-intelligence-to-predict-the-perfor
MLA“Interpreting CNN-RNN Hybrid Model-Based Ensemble Learning with Explainable Artificial Intelligence to Predict the Performance of Li-Ion Batteries in Drone Flights.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpreting-cnn-rnn-hybrid-model-based-ensemble-learning-with-explainable-artificial-intelligence-to-predict-the-perfor.
BibTeX@misc{4ortxyz_interpreting-cnn-rnn-hybrid-model-based-ensemble-learning-with-explainable-artificial-intelligence-to-predict-the-perfor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpreting CNN-RNN Hybrid Model-Based Ensemble Learning with Explainable Artificial Intelligence to Predict the Performance of Li-Ion Batteries in Drone Flights}}, year = {2026}, url = {https://4ort.xyz/entity/interpreting-cnn-rnn-hybrid-model-based-ensemble-learning-with-explainable-artificial-intelligence-to-predict-the-perfor}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpreting CNN-RNN Hybrid Model-Based Ensemble Learning with Explainable Artificial Intelligence to Predict the Performance of Li-Ion Batteries in Drone Flights — https://4ort.xyz/entity/interpreting-cnn-rnn-hybrid-model-based-ensemble-learning-with-explainable-artificial-intelligence-to-predict-the-perfor (retrieved 2026-05-24)
