output
20212026
most citedAI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends

187 citations

13 papers

cs.CL2026

Investigating Model Compression for Neural Machine Translation in the Biomedical Domain

Maria Zafar, Souhail Bakkali, Rejwanul Haque

Large-scale pretrained transformer models have achieved state-of-the-art performance across diverse machine translation tasks, including multilingual settings. Knowledge distillati…

cs.IT2026

Deterministic Johnson--Lindenstrauss Projections from Pisot -Transformations for Zero-Knowledge Private Routing

I. Dey, I. Cherkaoui

Zero-knowledge (ZK) proofs certify that a message belongs to an allowed semantic class without revealing the message, but the certificate compares a high-dimensional embedding agai…

cs.CL2023★ 24 cited

Domain Terminology Integration into Machine Translation: Leveraging Large Language Models

Yasmin Moslem, Gianfranco Romani, Mahdi Molaei +3

This paper discusses the methods that we used for our submissions to the WMT 2023 Terminology Shared Task for German-to-English (DE-EN), English-to-Czech (EN-CS), and Chinese-to-En…

physics.gen-ph2023

Relational space-time and de Broglie waves

Tony Lyons

Relative motion of particles is examined in the context of relational space-time. It is shown that de Broglie waves may be derived as a representation of the coordinate maps betwee…

quant-ph2023★ 23 cited

Time-delayed single satellite quantum repeater node for global quantum communications

Mustafa Gündoğan, Jasminder S. Sidhu, Markus Krutzik +1

Global-scale quantum networking faces significant technical and scientific obstacles. Quantum repeaters (QRs) have been proposed to overcome the inherent direct transmission range…

quant-ph2023★ 34 cited

The ideal wavelength for daylight free-space quantum key distribution

Mostafa Abasifard, Chanaprom Cholsuk, Roberto G. Pousa +5

Quantum key distribution (QKD) has matured in recent years from laboratory proof-of-principle demonstrations to commercially available systems. One of the major bottlenecks is the…

physics.ins-det2022★ 16 cited

Application of non-uniform Fourier transform to non-uniform sampling Fourier transform spectrometers

Muqian Wen, John Houlihan

Resampling by interpolation is the traditional method to process interferograms from non-uniformly sampled Fourier transform spectrometers. The non-uniform fast Fourier transform (…

math.DG2022★ 1 cited

Properties and Transformations of Weingarten Surfaces

Brendan Guilfoyle, Morgan Robson

The Weingarten relations satisfied by rotationally symmetric surfaces in Euclidean 3-space E3 are considered from three points of view: restrictions on the slope of the relation at…

cs.AI2022★ 187 cited

AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends

Muhammad Zawish, Fayaz Ali Dharejo, Sunder Ali Khowaja +4

Since Facebook was renamed Meta, a lot of attention, debate, and exploration have intensified about what the Metaverse is, how it works, and the possible ways to exploit it. It is…

cs.LG2022★ 37 cited

Complexity-Driven CNN Compression for Resource-constrained Edge AI

Muhammad Zawish, Steven Davy, Lizy Abraham

Recent advances in Artificial Intelligence (AI) on the Internet of Things (IoT)-enabled network edge has realized edge intelligence in several applications such as smart agricultur…

math.DG2022

On the Convergence of Non-Integer Linear Hopf Flow

Brendan Guilfoyle, Morgan Robson

The evolution of a rotationally symmetric surface by a linear combination of its radii of curvature equation is considered. It is known that if the coefficients form certain intege…

math.DG2021★ 4 cited

Almost Paracomplex Structures on 4-Manifolds

Nikos Georgiou, Brendan Guilfoyle

Reflection in a line in Euclidean 3-space defines an almost paracomplex structure on the space of all oriented lines, isometric with respect to the canonical neutral Kaehler metric…

eess.SP2021★ 3 cited

Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals

Harun Šiljak, Michael Taynnan Barros, Nathan D'Arcy +3

The recent COVID-19 pandemic has driven researchers from different spectrum to develop novel solutions that can improve detection and understanding of SARS-CoV-2 virus. In this art…