Telecomunicaciones, información y comunicación

Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning

- Continuous monitoring of glacier calving fronts is essential for sea level rise projections. This study benchmarks Deep Learning systems for front delineation in Synthetic Aperture Radar imagery....

Goldilocks Isolation: High Performance VMs with Edera

- Organizations run applications on cloud infrastructure shared between multiple users and organizations. Popular tooling for this shared infrastructure, including Docker and Kubernetes, supports such...

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research

- Low-resource languages serve as invaluable repositories of human history, embodying cultural evolution and intellectual diversity. Despite their significance, these languages face critical...

Large Language Models for Market Research: A Data-augmentation Approach

- Large Language Models (LLMs) have transformed artificial intelligence by excelling in complex natural language processing tasks. Their ability to generate human-like text has opened new possibilities...

Special Unitary Parameterized Estimators of Rotation

- This paper revisits the topic of rotation estimation through the lens of special unitary matrices. We begin by reformulating Wahba's problem using $SU(2)$ to derive multiple solutions that yield...

EventCrab: Harnessing Frame and Point Synergy for Event-based Action Recognition and Beyond

- Event-based Action Recognition (EAR) possesses the advantages of high-temporal resolution capturing and privacy preservation compared with traditional action recognition. Current leading EAR...

What Causes Performance Degradation in Cross-Subject EEG Classification?

- Cross-subject EEG classification typically achieves significantly lower performance than subject-dependent settings. Although this phenomenon has been widely observed in the literature, the...

Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All

- We study the design of iterative combinatorial auctions (ICAs). The main challenge in this domain is that the bundle space grows exponentially in the number of items. To address this, recent work has...

Heterogeneous Sheaf Neural Networks

- Heterogeneous graphs, whose nodes and edges may belong to different types and feature spaces, arise in a wide variety of real-world domains such as biology, chemistry and computer networks. Existing...

Subjective and Objective Quality-of-Experience Evaluation Study for Live Video Streaming

- In recent years, live video streaming has gained widespread popularity across various social media platforms. Quality of experience (QoE), which reflects end-users' satisfaction and overall...

LaMSUM: Amplifying Voices Against Harassment through LLM Guided Extractive Summarization of User Incident Reports

- Citizen reporting platforms help the public and authorities stay informed about sexual harassment incidents. However, the high volume of data shared on these platforms makes reviewing each individual...

Online Matching on $3$-Uniform Hypergraphs

- The online matching problem was introduced by Karp, Vazirani and Vazirani (STOC 1990) on bipartite graphs with vertex arrivals. It is well-known that the optimal competitive ratio is $1-1/e$ for both...

DASB -- Discrete Audio and Speech Benchmark

- Discrete audio tokens have recently gained considerable attention for their potential to bridge audio and language processing, enabling multimodal language models that can both generate and...

ADI schemes for heat equations with irregular boundaries and interfaces in 3D with applications

- In this paper, efficient alternating direction implicit (ADI) schemes are proposed to solve three-dimensional heat equations with irregular boundaries and interfaces. Starting from the well-known...

Deep Learning Based Amharic Chatbot for FAQs in Universities

- University students often spend a considerable amount of time seeking answers to common questions from administrators or teachers. This can become tedious for both parties, leading to a need for a...

Adaptive multi-fidelity optimization with fast learning rates

- In multi-fidelity optimization, biased approximations of varying costs of the target function are available. This paper studies the problem of optimizing a locally smooth function with a limited...

Structural Measures of Resilience for Supply Chains

- Modern production systems are increasingly defined by dense networks of multi-tier sourcing dependencies, where localized upstream disruptions can cascade into system-wide collapses. While supply...

Towards Ultra-High-Rate Quantum Error Correction with Reconfigurable Atom Arrays

- Quantum error correction is widely believed to be essential for large-scale quantum computation, but the required qubit overhead remains a central challenge. Quantum low-density parity-check codes...

Ellipsography: Single-Shot Speckle-Free Holography via Vectorial Interference Shaping

- Holographic displays are widely regarded as the "ultimate" display technology, promising immersive 3D visuals with natural depth cues, continuous parallax, and perceptual realism. Realizing...

ChemGraph-XANES: An Agentic Framework for XANES Simulation and Analysis

- Computational X-ray absorption near-edge structure (XANES) is widely used to probe local coordination environments, oxidation states, and electronic structure in chemically complex systems. However,...

Convergence Time Distributions for Max-Consensus over Unreliable Networks

- This paper proposes the LiFE-CD algorithm for convergence time analysis of the max-consensus algorithm in multi-agent systems under Bernoulli-distributed link failures. Unlike existing approaches,...