Juan Aznar-Poveda
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View article: ScaleIP: A hybrid autoscaling of VoIP services based on deep reinforcement learning
ScaleIP: A hybrid autoscaling of VoIP services based on deep reinforcement learning Open
View article: STREAMLINE: Dynamic and Resource-Efficient Auto-Tuning of Stream Processing Data Pipeline Ensembles
STREAMLINE: Dynamic and Resource-Efficient Auto-Tuning of Stream Processing Data Pipeline Ensembles Open
View article: SmartKV: A cost-effective and low-latency geo-distributed key-value store for the computing continuum
SmartKV: A cost-effective and low-latency geo-distributed key-value store for the computing continuum Open
View article: ADRL: A reconfigurable energy-efficient transmission policy for mobile LoRa devices based on reinforcement learning
ADRL: A reconfigurable energy-efficient transmission policy for mobile LoRa devices based on reinforcement learning Open
View article: Machine-Learning-Based Urban Path Loss Prediction at 900 MHz: Principal Component Analysis, Clustering, Feature Importance and Regression
Machine-Learning-Based Urban Path Loss Prediction at 900 MHz: Principal Component Analysis, Clustering, Feature Importance and Regression Open
View article: DatApollo: Orchestration of Serverless Functions for Scalable Data Mining
DatApollo: Orchestration of Serverless Functions for Scalable Data Mining Open
View article: SDKV: A Smart and Distributed Key-Value Store for the Edge-Cloud Continuum
SDKV: A Smart and Distributed Key-Value Store for the Edge-Cloud Continuum Open
Many time-critical and data-intensive distributed applications for the computing continuum depend on low-latency, scalable, and highly available distributed key value storages. In this paper, we introduce SDKV, a scalable -Smart and Distri…
View article: Dynamic transmission policy for enhancing LoRa network performance: A deep reinforcement learning approach
Dynamic transmission policy for enhancing LoRa network performance: A deep reinforcement learning approach Open
Long Range (LoRa) communications, operating through the LoRaWAN protocol, have received increasing attention from the low-power and wide-area network communities. Efficient energy consumption and reliable communication performance are crit…
View article: Approximate reinforcement learning to control beaconing congestion in distributed networks
Approximate reinforcement learning to control beaconing congestion in distributed networks Open
View article: Simultaneous Data Rate and Transmission Power Adaptation in V2V Communications: A Deep Reinforcement Learning Approach
Simultaneous Data Rate and Transmission Power Adaptation in V2V Communications: A Deep Reinforcement Learning Approach Open
In Vehicle-to-Vehicle (V2V) communications, channel load is key to ensuring the appropriate operation of safety applications as well as driver-assistance systems. As the number of vehicles increases, so do their communication messages. The…
View article: MDPRP: A Q-Learning Approach for the Joint Control of Beaconing Rate and Transmission Power in VANETs
MDPRP: A Q-Learning Approach for the Joint Control of Beaconing Rate and Transmission Power in VANETs Open
Vehicular ad-hoc communications rely on periodic broadcast beacons as the basis for most of their safety applications, allowing vehicles to be aware of their surroundings. However, an excessive beaconing load might compromise the proper op…
View article: Cooperative Awareness Message Dissemination in EN 302 637-2: an Adaptation for Winding Roads
Cooperative Awareness Message Dissemination in EN 302 637-2: an Adaptation for Winding Roads Open
This paper evaluates the performance of the Cooperative Awareness Message (CAM) dissemination stated in the European Standard EN 302 637-2 in risky sharp bends and winding roads. We propose a novel triggering condition based on the dynamic…
View article: Quick and Cost-Effective Estimation of Vitamin C in Multifruit Juices Using Voltammetric Methods
Quick and Cost-Effective Estimation of Vitamin C in Multifruit Juices Using Voltammetric Methods Open
Ascorbic Acid (AA) is a natural and powerful water-soluble antioxidant associated with long-lasting food products. As time passes, the AA content in products sharply decreases, and they become increasingly degraded. There are several techn…
View article: Time-to-Collision-Based Awareness and Congestion Control for Vehicular Communications
Time-to-Collision-Based Awareness and Congestion Control for Vehicular Communications Open
Vehicular wireless communications require both congestion control to guarantee the availability of a fraction of the bandwidth for safety-related event-driven messages in emergency cases, and awareness control to adapt the beaconing activi…
View article: State-of-the-Art Sensors Technology in Spain 2017
State-of-the-Art Sensors Technology in Spain 2017 Open
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View article: A COTS-Based Portable System to Conduct Accurate Substance Concentration Measurements
A COTS-Based Portable System to Conduct Accurate Substance Concentration Measurements Open
Traditionally, electrochemical procedures aimed at determining substance concentrations have required a costly and cumbersome laboratory environment. Specialized equipment and personnel obtain precise results under complex and time-consumi…