EnvCoLoc combines environment-conditioned diffusion meta-learning with 3D point cloud descriptors to reduce mean localization error by up to 20% in NLOS WiFi scenarios using only 10 support samples.
Deep residual learning for image recognition
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Light-ResKAN reaches 99.09% accuracy on MSTAR SAR images with 82.9 times fewer FLOPs and 163.78 times fewer parameters than VGG16 by combining KAN convolutions, Gram polynomials, and channel-wise parameter sharing.
GeoFormer achieves 3.19 m building-height RMSE with 0.32 M parameters by applying windowed local attention to Sentinel imagery, outperforming CNN baselines by 7.5 % while releasing all code and weights.
Fed-DLoRA combines low-rank adaptation with federated learning and an adaptive rank-bandwidth-vehicle selection algorithm to improve accuracy, convergence speed, and communication efficiency in wireless IoV environments.
citing papers explorer
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Environment-Conditioned Diffusion Meta-Learning for Data-Efficient WiFi Localization
EnvCoLoc combines environment-conditioned diffusion meta-learning with 3D point cloud descriptors to reduce mean localization error by up to 20% in NLOS WiFi scenarios using only 10 support samples.
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Light-ResKAN: A Parameter-Sharing Lightweight KAN with Gram Polynomials for Efficient SAR Image Recognition
Light-ResKAN reaches 99.09% accuracy on MSTAR SAR images with 82.9 times fewer FLOPs and 163.78 times fewer parameters than VGG16 by combining KAN convolutions, Gram polynomials, and channel-wise parameter sharing.
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GeoFormer: A Lightweight Swin Transformer for Joint Building Height and Footprint Estimation from Sentinel Imagery
GeoFormer achieves 3.19 m building-height RMSE with 0.32 M parameters by applying windowed local attention to Sentinel imagery, outperforming CNN baselines by 7.5 % while releasing all code and weights.
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Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation
Fed-DLoRA combines low-rank adaptation with federated learning and an adaptive rank-bandwidth-vehicle selection algorithm to improve accuracy, convergence speed, and communication efficiency in wireless IoV environments.