Envíos recientes

Efficiency of Distributed Selection of Edge or Cloud Servers Under Latency Constraints

Mancuso, Vincenzo; Badia, Leonardo; Castagno, Paolo; Sereno, Matteo; Ajmone Marsan, Marco (2023-06-13)

conference object

The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: a machine learning approach

Mishra, Sachit; Srivastava, Rajat; Muhammad, Atta; Amit, Amit; Chiavazzo, Eliodoro; Fasano, Matteo; Asinari, Pietro (2023-04-14)

journal article

Fundamental Limits of Topology-Aware Shared-Cache Networks

Parrinello, Emanuele; Bazco-Nogueras, Antonio; Elia, Petros (IEEE, 2023-10-04)

journal article

PassiveLiFi Demonstration: Rethinking LiFi for Low-Power and Long-Range RF Backscatter

Frómeta Fonseca, Dayrene; Mir, Muhammad Sarmad; Genovés Guzmán, Borja; Varshney, Ambuj; Giustiniano, Domenico (2023-10)

conference object

ATHENA: Machine Learning and Reasoning for Radio Resources Scheduling in vRAN systems

Apostolakis, Nikolaos; Gramaglia, Marco; Chatzieleftheriou, Livia Elena; Subramanya, Tejas; Banchs, Albert; Sanneck, Henning (2023-11-28)

journal article

waveSLAM: Empowering accurate indoor mapping using off-the-shelf millimeter-wave self-sensing

Picazo, Pablo; Groshev, Milan; Blanco, Alejandro; Fiandrino, Claudio; de la Oliva, Antonio; Widmer, Joerg (2023-10-10)

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Scalable multi-modal learning for cross-link channel prediction in massive IoT networks

Woo Cho, Kun; Cominelli, Marco; Gringoli, Francesco; Widmer, Joerg; Jamieson, Kyle (2023-10-23)

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In-band multi-connectivity with local beamtraining for improving mmWave network resilience

Grosheva, Nina; Hersyandika, Rizqi; Widmer, Joerg; Pollin, Sofie (2023-10-29)

conference object

Characterizing sub-THz MIMO channels in practice: a novel channel sounder with absolute time reference

Bodet, Duschia; Dinh, Phuc; Stojanovic, Milica; Widmer, Joerg; Koutsonikolas, Dimitrios; Jornet, Josep (2023-12-04)

conference object

Bringing millimeter wave technology to any IoT device

Mazaheri, Mohammad; Ruiz, Rafael; Giustiniano, Domenico; Widmer, Joerg; Abari, Omid (2023-10-02)

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In the Room Where It Happens: Characterizing Local Communication and Threats in Smart Homes

Girish, Aniketh; Hu, Tianrui; Prakash, Vijay; J. Dubois, Daniel; Matic, Srdjan; Yuxing Huang, Danny; Egelman, Serge; Reardon, Joel; Tapiador, Juan; Choffnes, David; Vallina-Rodriguez, Narseo (2023-10-24)

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Characterizing and Modeling Session-Level Mobile Traffic Demands from Large-Scale Measurements

Zanella, André; Bazco-Nogueras, Antonio; Ziemlicki, Cezary; Fiore, Marco (2023-10-24)

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Characterizing and Modeling Mobile Networks User Traffic at Millisecond Level

Férnandez Pérez, Pablo; Fiandrino, Claudio; Widmer, Joerg (2023-10-06)

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Characterizing Mobile Service Demands at Indoor Cellular Networks

Bakirtzis, Stefanos; Zanella, André; Rubrichi, Stefania; Ziemlicki, Cezary; Smoreda, Zbigniew; Wassell, Ian; Zhang, Jie; Fiore, Marco (2023-10-24)

conference object

Label-Aware Aggregation for Improved Federated Learning

Khalil, Ahmad; Wainakh, Aidmar; Zimmer, Ephraim; Parra-Arnau, Javier; Fernández Anta, Antonio; Meuser, Tobias; Steinmetz, Ralf (2023-09)

conference object

An Autonomous System for the Self-supervision of Animal Fattening in the context of Precision Livestock Farming

García, Rodrigo; Aguilar, Jose; Pinto, Angel (Elsevier, 2024-01-01)

journal article

Offloading Augmented Reality Tasks with Smart Energy Source-Aware Algorithms at the Edge

Spinelli, Francesco; Bazco-Nogueras, Antonio; Mancuso, Vincenzo (2023-10-30)

conference object

kaNSaaS: Combining Deep Learning and Optimization for Practical Overbooking of Network Slices

Alcalá-Marín, Sergi; Bazco-Nogueras, Antonio; Banchs, Albert; Fiore, Marco (2023-10-23)

conference object

A generic architecture of an affective recommender system for e-learning environments

Salazar, Juan; Aguilar, Jose; Monsalve, Julian; Montoya, Edwin (Springer, 2023-08-30)

journal article

Stories from a Customized Honeypot for the IoT

Carrillo-Mondejar, Javier; Roldán-Gómez, José; Castelo Gómez, Juan Manuel; Ruiz Villafranca, Sergio; Suarez-Tangil, Guillermo (2023)

journal article

IMDEA Networks: Envíos recientes

Efficiency of Distributed Selection of Edge or Cloud Servers Under Latency Constraints ﻿

The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: a machine learning approach ﻿

Fundamental Limits of Topology-Aware Shared-Cache Networks ﻿

PassiveLiFi Demonstration: Rethinking LiFi for Low-Power and Long-Range RF Backscatter ﻿

ATHENA: Machine Learning and Reasoning for Radio Resources Scheduling in vRAN systems ﻿

waveSLAM: Empowering accurate indoor mapping using off-the-shelf millimeter-wave self-sensing ﻿

Scalable multi-modal learning for cross-link channel prediction in massive IoT networks ﻿

In-band multi-connectivity with local beamtraining for improving mmWave network resilience ﻿

Characterizing sub-THz MIMO channels in practice: a novel channel sounder with absolute time reference ﻿

Bringing millimeter wave technology to any IoT device ﻿

In the Room Where It Happens: Characterizing Local Communication and Threats in Smart Homes ﻿

Characterizing and Modeling Session-Level Mobile Traffic Demands from Large-Scale Measurements ﻿

Characterizing and Modeling Mobile Networks User Traffic at Millisecond Level ﻿

Characterizing Mobile Service Demands at Indoor Cellular Networks ﻿

Label-Aware Aggregation for Improved Federated Learning ﻿

An Autonomous System for the Self-supervision of Animal Fattening in the context of Precision Livestock Farming ﻿

Offloading Augmented Reality Tasks with Smart Energy Source-Aware Algorithms at the Edge ﻿

kaNSaaS: Combining Deep Learning and Optimization for Practical Overbooking of Network Slices ﻿

A generic architecture of an affective recommender system for e-learning environments ﻿

Stories from a Customized Honeypot for the IoT ﻿

Efficiency of Distributed Selection of Edge or Cloud Servers Under Latency Constraints

The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: a machine learning approach

Fundamental Limits of Topology-Aware Shared-Cache Networks

PassiveLiFi Demonstration: Rethinking LiFi for Low-Power and Long-Range RF Backscatter

ATHENA: Machine Learning and Reasoning for Radio Resources Scheduling in vRAN systems

waveSLAM: Empowering accurate indoor mapping using off-the-shelf millimeter-wave self-sensing

Scalable multi-modal learning for cross-link channel prediction in massive IoT networks

In-band multi-connectivity with local beamtraining for improving mmWave network resilience

Characterizing sub-THz MIMO channels in practice: a novel channel sounder with absolute time reference

Bringing millimeter wave technology to any IoT device

In the Room Where It Happens: Characterizing Local Communication and Threats in Smart Homes

Characterizing and Modeling Session-Level Mobile Traffic Demands from Large-Scale Measurements

Characterizing and Modeling Mobile Networks User Traffic at Millisecond Level

Characterizing Mobile Service Demands at Indoor Cellular Networks

Label-Aware Aggregation for Improved Federated Learning

An Autonomous System for the Self-supervision of Animal Fattening in the context of Precision Livestock Farming

Offloading Augmented Reality Tasks with Smart Energy Source-Aware Algorithms at the Edge

kaNSaaS: Combining Deep Learning and Optimization for Practical Overbooking of Network Slices

A generic architecture of an affective recommender system for e-learning environments

Stories from a Customized Honeypot for the IoT