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06/25/2023
Enhanced Attention-Based Unrolling for Sparse Sequential micro-Doppler Reconstruction
The reconstruction of micro-Doppler signatures of human movements is a k...
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05/18/2023
Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization
Edge networks call for communication efficient (low overhead) and robust...
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04/29/2023
A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels
In the last years, several machine learning-based techniques have been p...
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02/13/2023
Divide and Save: Splitting Workload Among Containers in an Edge Device to Save Energy and Time
The increasing demand for edge computing is leading to a rise in energy ...
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10/04/2022
Energy Consumption of Neural Networks on NVIDIA Edge Boards: an Empirical Model
Recently, there has been a trend of shifting the execution of deep learn...
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09/28/2022
Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges
Mobile networks are becoming energy hungry, and this trend is expected t...
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02/11/2022
A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing
There is a growing interest in the decentralized optimization framework ...
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12/10/2021
A Review of Indoor Millimeter Wave Device-based Localization and Device-free Sensing Technologies
The commercial availability of low-cost millimeter wave (mmWave) communi...
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11/03/2021
EASE: Energy-Aware job Scheduling for vehicular Edge networks with renewable energy resources
The energy sustainability of multi-access edge computing (MEC) platforms...
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10/08/2021
MilliTRACE-IR: Contact Tracing and Temperature Screening via mm-Wave and Infrared Sensing
In this work, we present milliTRACE-IR, a joint mm-wave radar and infrar...
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03/17/2021
Environment and Person Independent Activity Recognition with a Commodity IEEE 802.11ac Access Point
Here, we propose an original approach for human activity recognition (HA...
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03/01/2020
Adaptive Millimeter-Wave Communications Exploiting Mobility and Blockage Dynamics
Mobility may degrade the performance of next-generation vehicular networ...
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02/25/2020
Mobility and Blockage-aware Communications in Millimeter-Wave Vehicular Networks
Mobility may degrade the performance of next-generation vehicular networ...
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11/19/2019
Seq2Seq RNN based Gait Anomaly Detection from Smartphone Acquired Multimodal Motion Data
Smartphones and wearable devices are fast growing technologies that, in ...
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07/09/2019
Deep Learning Techniques for Improving Digital Gait Segmentation
Wearable technology for the automatic detection of gait events has recen...
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02/14/2019
Online Resource Management in Energy Harvesting BS Sites through Prediction and Soft-Scaling of Computing Resources
Multi-Access Edge Computing (MEC) is a paradigm for handling delay sensi...
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04/26/2018
Beam Training and Data Transmission Optimization in Millimeter-Wave Vehicular Networks
Future vehicular communication networks call for new solutions to suppor...
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03/16/2018
Energy Sustainable Mobile Networks via Energy Routing, Learning and Foresighted Optimization
The design of self-sustainable base station (BS) deployments is addresse...
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01/23/2018
Energy sustainable paradigms and methods for future mobile networks: A survey
In this survey, we discuss the role of energy in the design of future mo...
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06/29/2017
Machine Learning Approaches to Energy Consumption Forecasting in Households
We consider the problem of power demand forecasting in residential micro...
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06/10/2016
