Home ›
Entities
› academia
› Multi-modal hybrid modeling strategy based on Gaussian Mixture Variational Autoencoder and spatial–temporal attention: Application to industrial process prediction
Multi-modal hybrid modeling strategy based on Gaussian Mixture Variational Autoencoder and spatial–temporal attention: Application to industrial process prediction
Research article (Chemometrics and Intelligent Laboratory Systems, 2023) · cited 13× · AI/ML
Multi-modal hybrid modeling strategy based on Gaussian Mixture Variational Autoencoder and spatial–temporal attention: Application to industrial process prediction
Summary
Multi-modal hybrid modeling strategy based on Gaussian Mixture Variational Autoencoder and spatial–temporal attention: Application to industrial process prediction is a scholarly article[1].
Key Facts
Multi-modal hybrid modeling strategy based on Gaussian Mixture Variational Autoencoder and spatial–temporal attention: Application to industrial process prediction's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Multi-modal hybrid modeling strategy based on Gaussian Mixture Variational Autoencoder and spatial–temporal attention: Application to industrial process prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-modal-hybrid-modeling-strategy-based-on-gaussian-mixture-variational-autoencoder-and-spatialtemporal-attention-app
MLA“Multi-modal hybrid modeling strategy based on Gaussian Mixture Variational Autoencoder and spatial–temporal attention: Application to industrial process prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-modal-hybrid-modeling-strategy-based-on-gaussian-mixture-variational-autoencoder-and-spatialtemporal-attention-app.
BibTeX@misc{4ortxyz_multi-modal-hybrid-modeling-strategy-based-on-gaussian-mixture-variational-autoencoder-and-spatialtemporal-attention-app_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-modal hybrid modeling strategy based on Gaussian Mixture Variational Autoencoder and spatial–temporal attention: Application to industrial process prediction}}, year = {2026}, url = {https://4ort.xyz/entity/multi-modal-hybrid-modeling-strategy-based-on-gaussian-mixture-variational-autoencoder-and-spatialtemporal-attention-app}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-modal hybrid modeling strategy based on Gaussian Mixture Variational Autoencoder and spatial–temporal attention: Application to industrial process prediction — https://4ort.xyz/entity/multi-modal-hybrid-modeling-strategy-based-on-gaussian-mixture-variational-autoencoder-and-spatialtemporal-attention-app (retrieved 2026-05-24)
