Abstract: Data-driven machine learning techniques have been advocated for signal detection in complex wireless environments. However, when applied to wideband spectrum sensing scenarios, they face ...

This work presents TinyFusion, a learnable depth pruning method for diffusion transformers. We highlight the following key findings: The script prune_by_learning.py allows users to prune and derive ...

Abstract: Existing salient object detection (SOD) methods mainly rely on U-shaped convolution neural networks (CNNs) with skip connections to combine the global contexts and local spatial details that ...

An electrical transformer is reportedly destroyed by the Pro-Ukrainian Atesh partisan group near Cherkessk in Southern Russia on Aug. 24, 2025. (Atesh/Telegram) An electrical transformer near a ...

New Delhi: The United States is staring at a severe transformer shortage, with a 30 per cent gap in power transformers and 10 per cent in distribution units projected for 2025, forcing utilities to ...

The partnership brings together advanced expertise in energy storage, transformers, high-voltage equipment, and energy management software — maximizing project returns (IRR) while reducing ...

When using transformers==4.55.2 with TensorFlow disabled (TRANSFORMERS_NO_TF=1), the library still attempts to import TFPreTrainedModel internally, causing an ...

Graphics Cards RTX 40-series graphics cards can now enable Frame Generation in unsupported games via the drivers: up to a 44% fps improvement in my initial tests Graphics Cards The latest AMD ...