IEEE

CATScaler: A Convolution-Augmented Transformer Scaling Framework for Cloud-Native Applications

Abstract: Efficient container scaling is crucial for enhancing the availability and scalability of cloud-native applications through adaptive resource management. In cloud computing, the default ...
GitHub

E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products

This repository contains the official implementation of E2Former, an equivariant neural network interatomic potential based on efficient attention mechanisms and E(3)-equivariant operations. At its ...
Control Global

LVDT sensors for position feedback in downhole applications

Linear, variable, differential transformer (LVDT) sensors for position feedback in downhole environments are reported to provide accurate monitoring and control of tools used in exploration, drilling ...
IEEE

Image Compressive Sensing With Scale-Variable Adaptive Sampling and Hybrid-Attention Transformer Reconstruction

Abstract: Recently, a large number of image compressive sensing (CS) methods with deep unfolding networks (DUNs) have been proposed. However, existing methods either use fixed-scale blocks for ...
Automation

NewTek Constructs Radiation-Resistant LVDTs in Multiple Temperature Ranges

PENNSAUKEN, N.J., Sept. 18, 2025 – NewTek Sensor Solutions offers Radiation-Resistant LVDTs (Linear Variable Differential Transformers) in multiple temperature ranges to meet the evolving demands of ...