most citedDistributed Deep Learning with RIS Grouping for Accurate Cascaded Channel Estimation

1 citations

6 papers

eess.SP20261 cited

Controlled Out-of-Band Device-to-Device Communication in Cellular Networks Using a Backup Channel in Television White Space

Saifur Rahman, Syed Luqman Shah, Salim Nasar Faraj Mursal +4

In this article, we address the problem of spectrum scarcity in cellular networks (CNs). We propose a backup channel (BuC) for cellular users (CUs) located in the same macro-cell u…

physics.flu-dyn2026

Statistical orientation and distribution of columnar ice crystals in turbulent flows

A. Pumir, M. Z. Sheikh, K. Gustavsson +3

We study the motion of columnar ice crystals that form in clouds over a range of low temperature. Our focus here is on elongated ice crystals, which are smaller than the size of th…

cs.NI2026

Leveraging Wireless Sensor Networks for Real-Time Monitoring and Control of Industrial Environments

Muhammad Junaid Asif, Abdul Rehman, Asim Mehmood +3

This research proposes an extensive technique for monitoring and controlling the industrial parameters using Internet of Things (IoT) technology based on wireless communication. We…

astro-ph.GA2026

The Salamander: A case study of the magnetic field and peculiar morphology of G309.8-2.6 through radio polarimetry

Wenhui Jing, Jennifer L. West, Xiaohui Sun +17

Studying the interaction between core-collapse supernova remnants (SNRs) and their surrounding environments is essential to understanding the mechanism for energy transfer to the i…

eess.SP20251 cited

Distributed Deep Learning with RIS Grouping for Accurate Cascaded Channel Estimation

Saifur Rahman, Syed Luqman Shah, Salman Khan +6

Reconfigurable Intelligent Surface (RIS) panels are envisioned as a key technology for sixth-generation (6G) wireless networks, providing a cost-effective means to enhance coverage…

cs.CV2025

Hybrid CNN-ViT Framework for Motion-Blurred Scene Text Restoration

Umar Rashid, Muhammad Arslan Arshad, Ghulam Ahmad +3

Motion blur in scene text images severely impairs readability and hinders the reliability of computer vision tasks, including autonomous driving, document digitization, and visual…