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Artificial Neural Networks and Machine Learning - ICANN 2025: 34th International Conference on Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part IIIArtificial Neural Networks and Machine Learning - ICANN 2025: 34th International Conference on Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part III

Artificial Neural Networks and Machine Learning - ICANN 2025: 34th International Conference on Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part III in Ottawa, ON

Current price: $94.19
Original price: $117.71
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Artificial Neural Networks and Machine Learning - ICANN 2025: 34th International Conference on Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part III

Artificial Neural Networks and Machine Learning - ICANN 2025: 34th International Conference on Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part III in Ottawa, ON

Current price: $94.19
Original price: $117.71
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Size: Kobo eBook

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The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9&12, 2025. The 170 full papers and 8 abstracts included in these conference proceedings were carefully reviewed and selected from 375 submissions. The conference strongly values the synergy between theoretical progress and impactful real-world applications, and actively encourages contributions that demonstrate how artificial neural networks are being used to address pressing societal and technological challenges.
The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9&12, 2025. The 170 full papers and 8 abstracts included in these conference proceedings were carefully reviewed and selected from 375 submissions. The conference strongly values the synergy between theoretical progress and impactful real-world applications, and actively encourages contributions that demonstrate how artificial neural networks are being used to address pressing societal and technological challenges.

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