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). ImConv_RNN: Improved Convolutional Recurrent Model Based Channel Estimation for 6G Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/imconv-rnn-improved-convolutional-recurrent-model-based-channel-estimation-for-6g-networks
MLA“ImConv_RNN: Improved Convolutional Recurrent Model Based Channel Estimation for 6G Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/imconv-rnn-improved-convolutional-recurrent-model-based-channel-estimation-for-6g-networks.
BibTeX@misc{4ortxyz_imconv-rnn-improved-convolutional-recurrent-model-based-channel-estimation-for-6g-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ImConv_RNN: Improved Convolutional Recurrent Model Based Channel Estimation for 6G Networks}}, year = {2026}, url = {https://4ort.xyz/entity/imconv-rnn-improved-convolutional-recurrent-model-based-channel-estimation-for-6g-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ImConv_RNN: Improved Convolutional Recurrent Model Based Channel Estimation for 6G Networks — https://4ort.xyz/entity/imconv-rnn-improved-convolutional-recurrent-model-based-channel-estimation-for-6g-networks (retrieved 2026-05-24)