RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, ...

An end-to-end data engineering pipeline and multivariate time-series forecasting engine utilizing PyTorch Forecasting and Temporal Fusion Transformers for high-scale demand modeling.

Abstract: This study introduces an innovative approach for predicting weather-induced attenuation in wireless communication networks (WCNs) that are highly sensitive to environmental changes. We aim ...

Abstract: In prediction tasks, the single dendritic neuron models (DNMs) have achieved good results due to their inherent biological dendrite-like nonlinear calculation capabilities. Meanwhile, ...