Papers
Descargar versión en PDFMost relevant papers in the current year indexed by Thomson Science Citation Index
Assessment of ventilation rates inside educational buildings in Southwestern Europe: Analysis of implemented strategic measures
Information consistent degree-based clustering method for large-scale group decision-making with linear uncertainty distributions information
New insights into the evaluation of peripheral nerves lesions: a survival guide for beginners
New insights into the evaluation of peripheral nerves lesions: a survival guide for beginners (vol 2022, pg, 2022)
A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming
Classification of Arabic healthcare questions based on word embeddings learned from massive consultations: a deep learning approach
High-Luminance QD-LED Device With Digital and Dynamic Lighting Functions for Efficient Automotive Systems
Heterogeneous Knowledge Learning of Predictive Academic Intelligence in Transportation
Analysis of the Reformulated Source to Drain Tunneling Probability for Improving the Accuracy of a Multisubband Ensemble Monte Carlo Simulator
Comprehensive study on unipolar RRAM charge conduction and stochastic features: a simulation approach
Can a paid model for peer review be sustainable when the author can decide whether to pay or not?
Stochastic Fading Channel Models With Multiple Dominant Specular Components
Functional Representation of the Intentional Bounded Rationality of Decision-Makers: A Laboratory to Study the Decisions a Priori
A LoRaWAN Architecture for Communications in Areas without Coverage: Design and Pilot Trials
Reconfigurable Electronic Platforms: A Top-Down Approach to Learn about Design and Integration of Electronic Systems
A LoRaWAN Network Architecture with MQTT2MULTICAST
Band-like transport in "green" quantum dot films: The effect of composition and stoichiometry
Multi-scale modeling of 2D GaSe FETs with strained channels
Metaheuristics "In the Large"
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network
Light Reflectance Characterization of Waste Glass Coating for Tiles
Fine-Tuning BERT Models for Intent Recognition Using a Frequency Cut-Off Strategy for Domain-Specific Vocabulary Extension
Constant Phase Element in the Time Domain: The Problem of Initialization
3-D Metamaterials: Trends on Applied Designs, Computational Methods and Fabrication Techniques
Science with Neutrino Telescopes in Spain
Cool Surface Strategies with an Emphasis on the Materials Dimension: A Review
Selectivity of Relative Humidity Using a CP Based on S-Block Metal Ions
Determining the neutrino mass ordering and oscillation parameters with KM3NeT/ORCA
Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics
Fraud, specialization, and efficiency in peer review
5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0
A Fluctuating Line-of-Sight Fading Model With Double-Rayleigh Diffuse Scattering
People's Perception of Experimental Installations for Sustainable Energy: The Case of IFMIF-DONES
Why Not STEM? A Study Case on the Influence of Gender Factors on Students' Higher Education Choice
On the Detection Capabilities of Signature-Based Intrusion Detection Systems in the Context of Web Attacks
A Proposal for Multimodal Emotion Recognition Using Aural Transformers and Action Units on RAVDESS Dataset
PeMNet for Pectoral Muscle Segmentation
Bayesian Monitoring of Seismo-Volcanic Dynamics
Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of machine learning
Continuous Active Learning for Seismo-Volcanic Monitoring
Heterogeneous Gene Expression Cross-Evaluation of Robust Biomarkers Using Machine Learning Techniques Applied to Lung Cancer
Secure Full-Duplex Wireless Power Transfer Systems With Energy-Information Correlation
Recurrent Scattering Network Detects Metastable Behavior in Polyphonic Seismo-Volcanic Signals for Volcano Eruption Forecasting
Toward Knowledge Extraction in Classification of Volcano-Seismic Events: Visualizing Hidden States in Recurrent Neural Networks
Highly Reliable Quadruple-Node Upset-Tolerant D-Latch
Deep Learning for Phishing Detection: Taxonomy, Current Challenges and Future Directions
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