Analyzing perceptions of a global event using CNN-LSTM deep learning approach: the case of Hajj 1442 (2021)

Research article (PeerJ Computer Science, 2022) · cited 11× · AI/ML
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Analyzing perceptions of a global event using CNN-LSTM deep learning approach: the case of Hajj 1442 (2021)

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Analyzing perceptions of a global event using CNN-LSTM deep learning approach: the case of Hajj 1442 (2021) is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Analyzing perceptions of a global event using CNN-LSTM deep learning approach: the case of Hajj 1442 (2021). Retrieved May 24, 2026, from https://4ort.xyz/entity/analyzing-perceptions-of-a-global-event-using-cnn-lstm-deep-learning-approach-the-case-of-hajj-1442-2021
MLA “Analyzing perceptions of a global event using CNN-LSTM deep learning approach: the case of Hajj 1442 (2021).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analyzing-perceptions-of-a-global-event-using-cnn-lstm-deep-learning-approach-the-case-of-hajj-1442-2021.
BibTeX @misc{4ortxyz_analyzing-perceptions-of-a-global-event-using-cnn-lstm-deep-learning-approach-the-case-of-hajj-1442-2021_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analyzing perceptions of a global event using CNN-LSTM deep learning approach: the case of Hajj 1442 (2021)}}, year = {2026}, url = {https://4ort.xyz/entity/analyzing-perceptions-of-a-global-event-using-cnn-lstm-deep-learning-approach-the-case-of-hajj-1442-2021}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analyzing perceptions of a global event using CNN-LSTM deep learning approach: the case of Hajj 1442 (2021) — https://4ort.xyz/entity/analyzing-perceptions-of-a-global-event-using-cnn-lstm-deep-learning-approach-the-case-of-hajj-1442-2021 (retrieved 2026-05-24)

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