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19922026
most citedMachine Learning in Automated Text Categorization

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cs.CL2024★ 23 cited

A Review on the Applications of Transformer-based language models for Nucleotide Sequence Analysis

Nimisha Ghosh, Daniele Santoni, Indrajit Saha +1

In recent times, Transformer-based language models are making quite an impact in the field of natural language processing. As relevant parallels can be drawn between biological seq…

cond-mat.mes-hall2024★ 1 cited

Can Neural Networks Learn Nanoscale Friction?

Mahboubeh Shabani, Andrea Silva, Franco Pellegrini +6

Current nanofriction experiments on crystals, both tip-on-surface and surface-on-surface, provide force traces as their sole output, typically exhibiting atomic size stick-slip osc…

cond-mat.mtrl-sci2024★ 4 cited

Melting behavior of CaO at high temperature and pressure: a molecular dynamics study

Francesca Menescardi, Davide Ceresoli, Donato Belmonte

The thermodynamic behavior of calcium oxide (\ce{CaO}) under high temperature and pressure conditions is critical for understanding the physics of planetary interiors. This study e…

physics.optics2024★ 6 cited

Light structuring via nonlinear total angular momentum addition with flat optics

Evgenii Menshikov, Paolo Franceschini, Kristina Frizyuk +7

Shaping the structure of light with flat optical devices has driven significant advancements in our fundamental understanding of light and light-matter interactions, and enabled a…

cs.NI2024★ 6 cited

EH from V2X Communications: the Price of Uncertainty and the Impact of Platooning

Federico Librino, Paolo Santi

In this paper, we explore how radio frequency energy from vehicular communications can be exploited by an energy harvesting device (EHD) placed alongside the road to deliver data p…

cs.CV2024★ 6 cited

Vision Transformers for Efficient Indoor Pathloss Radio Map Prediction

Rafayel Mkrtchyan, Edvard Ghukasyan, Khoren Petrosyan +2

Indoor pathloss prediction is a fundamental task in wireless network planning, yet it remains challenging due to environmental complexity and data scarcity. In this work, we propos…