output
19982026
most citedCross-checking different sources of mobility information

149 citations

42 papers

cs.CR2026

Switching Coordinator: An SDN Application for Flexible QKD-Networks

Rubén B. Mendez, Hans H. Brunner, Juan P. Brito +8

A monitor and control framework for quantum-key-distribution (QKD) networks equipped with switching capabilities was developed. On the one hand, this framework provides real-time v…

cs.HC2025★ 4 cited

Context-aware Adaptive Visualizations for Critical Decision Making

Angela Lopez-Cardona, Mireia Masias Bruns, Nuwan T. Attygalle +12

Effective decision-making often relies on timely insights from complex visual data. While Information Visualization (InfoVis) dashboards can support this process, they rarely adapt…

cs.IR2025★ 1 cited

AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored Search

Mario Villaizán-Vallelado, Matteo Salvatori, Kayhan Latifzadeh +3

Modern Search Engine Results Pages (SERPs) present complex layouts where multiple elements compete for visibility. Attention modelling is crucial for optimising web design and comp…

cs.NI2024★ 11 cited

Through the Telco Lens: A Countrywide Empirical Study of Cellular Handovers

Michail Kalntis, José Suárez-Varela, Jesús Omaña Iglesias +4

Cellular networks rely on handovers (HOs) as a fundamental element to enable seamless connectivity for mobile users. A comprehensive analysis of HOs can be achieved through data fr…

eess.SY2024★ 13 cited

Synergizing Hyper-accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs

Farhad Arpanaei, Mahdi Ranjbar Zefreh, Yanchao Jiang +12

The extension of elastic optical networks (EON) to multi-band transmission (MB-EON) shows promise in enhancing spectral efficiency, throughput, and long-term cost-effectiveness for…

cs.LG2024★ 19 cited

Diffusion Models for Tabular Data Imputation and Synthetic Data Generation

Mario Villaizán-Vallelado, Matteo Salvatori, Carlos Segura +1

Data imputation and data generation have important applications for many domains, like healthcare and finance, where incomplete or missing data can hinder accurate analysis and dec…