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eess.SP2026
Machine Learning Assisted Inverse Design of Pixelated mmWave Patch Antennas
Nadeem Rather, Holger Claussen, Lester Ho
A machine learning-assisted framework for the inverse design of pixelated millimetre-wave patch antennas targeting the 22--30 GHz band is presented. The antenna surface is represen…
eess.SP2026
Learning Compact Terrain-Context Representations for Feasibility-Aware Offline Reinforcement Learning in UAV Relaying Networks
Joseanne Viana, Viswak R Balaji, Boris Galkin +2
Offline reinforcement learning (RL) is an attractive tool for unmanned aerial vehicle (UAV) systems, where online exploration is costly and raises safety concerns. In terrain-aware…