A predictive target tracking framework for IoT using CNN–LSTM
Research article (Internet of Things, 2023) · cited 32× · AI/ML
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- [2] ↑ A predictive target tracking framework for IoT using CNN–LSTM — instance of (P31): scholarly article. wikidata.org.
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4ort.xyz Knowledge Graph. (2026). A predictive target tracking framework for IoT using CNN–LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-predictive-target-tracking-framework-for-iot-using-cnnlstm
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“A predictive target tracking framework for IoT using CNN–LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-predictive-target-tracking-framework-for-iot-using-cnnlstm.
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@misc{4ortxyz_a-predictive-target-tracking-framework-for-iot-using-cnnlstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A predictive target tracking framework for IoT using CNN–LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/a-predictive-target-tracking-framework-for-iot-using-cnnlstm}, note = {Accessed: 2026-05-24}}
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According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A predictive target tracking framework for IoT using CNN–LSTM — https://4ort.xyz/entity/a-predictive-target-tracking-framework-for-iot-using-cnnlstm (retrieved 2026-05-24)
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