Browse State-of-the-Art › Intelligent Communication
Intelligent Communication
9 papers with code · 0 benchmarks · 5 datasets archive 2025-07-28
Intelligently decide (i) the content of data to be shared/communicated and (ii) the direction in which the chosen data is transmitted.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
5 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
2 subtasks in the archive's task tree.
Most implemented papers archive 2025-07-28
9 shown of 9 papers with code (30 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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8 Dec 2021 3 repositories listedLanguage modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
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31 Jan 2025 1 repository listedWith the rapid development of wireless communication technology, the efficient utilization of spectrum resources, optimization of communication quality, and intelligent communication have become critical.
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30 Aug 2024 1 repository listedAdvancements in sixth-generation (6G) networks, coupled with the evolution of multimodal sensing in vehicle-to-everything (V2X) networks, have opened avenues for transformative research into multimodal-based artificial…
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20 Mar 2023 1 repository listedModulation classification (MC) is the first step performed at the receiver side unless the modulation type is explicitly indicated by the transmitter.
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5 Dec 2022 1 repository listedNetwork traffic data are critical for network research.
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22 May 2022 1 repository listedThe design of MAFENN framework and algorithm are dedicated to enhance the learning capability of the feedfoward DL networks or their variations with the simple data feedback.
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19 May 2022 1 repository listedIn addition, experimental results show that the trained deep reinforcement learning agents are robust to changes in the number of vehicles in the environment.
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11 Oct 2021 1 repository listedAutomatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes.
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16 Sep 2018 1 repository listedThe system was analyzed from an end-user perspective and was modelled to operate in three modes.
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