Infrastructural, performative and feral: Understanding agri‐environmental data relations in Aotearoa New Zealand

New Zealand Geographer, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Abstract In agri‐environmental decision‐making, data are essential to defining problems and informing solutions. Nevertheless, it is important consider not only how can be used but also what does in contexts. We argue that the liveliness of relations explored by attending their infrastructural, performative feral qualities. Taking digital agriculture climate change adaptation as examples, we these interconnected theses could applied. This critical approach generative effects will help avoid unintended consequences shape alternative futures.

Language: Английский

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A Synthetic Data-Driven Framework for Predicting Natural Frequencies of Camellia Oleifera Trees

Published: Jan. 1, 2025

Language: Английский

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Augmenting sparse behavior data for user identity linkage with self-generated by model and mixup-generated samples

Neural Networks, Journal Year: 2025, Volume and Issue: 187, P. 107295 - 107295

Published: Feb. 27, 2025

Language: Английский

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Cross-domain facial expression recognition: Bi-Directional Fusion of Active and Stable Information

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 149, P. 110357 - 110357

Published: March 12, 2025

Language: Английский

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Speech signal-based accurate neurological disorders detection using convolutional neural network and recurrent neural network based deep network

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 149, P. 110558 - 110558

Published: March 14, 2025

Language: Английский

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