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Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case
(Elsevier, 2022-12-01)
Article
Restricted access - publisher's policyDeep Reinforcement Learning (DRL) has shown a dramatic improvement in decision-making and automated control problems. Consequently, DRL represents a promising technique to efficiently solve many relevant optimization ... -
Countering a drone in a 3D space: Analyzing deep reinforcement learning methods
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-11-16)
Article
Open AccessUnmanned aerial vehicles (UAV), also known as drones have been used for a variety of reasons and the commercial drone market growth is expected to reach remarkable levels in the near future. However, some drone users can ... -
Graph signal reconstruction techniques for IoT air pollution monitoring platforms
(Institute of Electrical and Electronics Engineers (IEEE), 2022-08-03)
Article
Open AccessAir pollution monitoring platforms play a very important role in preventing and mitigating the effects of pollution. Recent advances in the field of graph signal processing have made it possible to describe and analyze air ... -
Acceleration with long vector architectures: Implementation and evaluation of the FFT kernel on NEC SX-Aurora and RISC-V vector extension
(Wiley (John Wiley & Sons), 2022-11-02)
Article
Restricted access - publisher's policyNovel architectures leveraging long and variable vector lengths like the NEC SX-Aurora or the vector extension of RISCV are appearing as promising solutions on the supercomputing market. These architectures often require ... -
A low-power IoT device for measuring water table levels and soil moisture to ease increased crop yields
(2022-09-09)
Article
Open AccessThe simultaneous measurement of soil water content and water table levels is of great agronomic and hydrological interest. Not only does soil moisture represent the water available for plant growth but also water table ... -
Building a Digital Twin for network optimization using graph neural networks
(2022-11-09)
Article
Open AccessNetwork modeling is a critical component of Quality of Service (QoS) optimization. Current networks implement Service Level Agreements (SLA) by careful configuration of both routing and queue scheduling policies. However, ... -
Wireless energy harvesting for autonomous reconfigurable intelligent surfaces
(Institute of Electrical and Electronics Engineers (IEEE), 2022-08-24)
Article
Open AccessIn the current contribution, we examine the feasibility of fully-energy-autonomous operation of reconfigurable intelligent surfaces (RIS) through wireless energy harvesting (EH) from incident information signals. Towards ... -
Transfer-learning-based intrusion detection framework in IoT networks
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-07-27)
Article
Open AccessCyberattacks in the Internet of Things (IoT) are growing exponentially, especially zero-day attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion detection systems (IDSs) adopted machine ... -
Challenges, difficulties and barriers for engineering higher education
(OmniaScience, 2022-10-19)
Article
Open AccessHigher education in general, and engineering higher education in particular, is constantly under pressure to introduce reforms that improve the employability of graduates. Among the most common claims is the development ... -
Small-layered feed-forward and convolutional neural networks for efficient P wave earthquake detection
(2022-11-15)
Article
Restricted access - publisher's policyThe number and efficiency of seismic networks have steadily increase over time delivering large datasets to be analyzed for earthquake occurrence. Automatic tools for accurate earthquake detection are under emerging and ... -
Image-based multi-agent reinforcement learning for demand–capacity balancing
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-10-14)
Article
Open AccessAir traffic flow management (ATFM) is of crucial importance to the European Air Traffic Control System due to two factors: first, the impact of ATFM, including safety implications on ATC operations; second, the possible ... -
Automated metadata annotation: What is and is not possible with machine learning
(The MIT Press. Massachusetts Institute of Technology, 2022-10-07)
Article
Open AccessAutomated metadata annotation is only as good as training dataset, or rules that are available for the domain. It's important to learn what type of data content a pre-trained machine learning algorithm has been trained on ...
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