Diego Martín

Associate Professor

Universidad de Valladolid

Spain

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About

Diego Martín is an Associate Professor at Universidad de Valladolid in Spain. His research focuses on physical layer security in wireless communication systems, unmanned aerial vehicles, and advanced machine learning techniques for anomaly detection and prediction in various domains. Recent publications include studies on the performance of NOMA communications, the integration of quantum mechanics in optimization algorithms, and innovative approaches to environmental monitoring.

Articles (21)

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Collaborators (1)

Mehrdad Kaveh

Universidad Politécnica de Madrid

SPAIN

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Diego Martín

Research Interests

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About

Articles (21)

Physical layer security in FAS-aided wireless powered NOMA systems

UAV-Relay Assisted RSMA Fluid Antenna System: Outage Probability Analysis

Generative Adversarial and Transformer Network Synergy for Robust Intrusion Detection in IoT Environments

An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids

Enhancing unmanned marine vehicle path planning: A fractal-enhanced chaotic grey wolf and differential evolution approach

Quantum Chimp Optimization Algorithm: A Novel Integration of Quantum Mechanics Into the Chimp Optimization Framework for Enhanced Performance

Performance Analysis of RIS/STAR-IOS-Aided V2V NOMA/OMA Communications Over Composite Fading Channels

Objective-based survival individual enhancement in the chimp optimization algorithm for the profit prediction using financial accounting information system

Physical Layer Security Performance of Cooperative Dual-RIS-Aided V2V NOMA Communications

A Novel Hybrid Artificial Bee Colony-Based Deep Convolutional Neural Network to Improve the Detection Performance of Backscatter Communication Systems

A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification

Predicting PM10 Concentrations Using Evolutionary Deep Neural Network and Satellite-Derived Aerosol Optical Depth

Optimizing Long Short-Term Memory Network for Air Pollution Prediction Using a Novel Binary Chimp Optimization Algorithm

Classification of Marine Mammals Using the Trained Multilayer Perceptron Neural Network with the Whale Algorithm Developed with the Fuzzy System

A Novel Deep Supervised Learning-Based Approach for Intrusion Detection in IoT Systems

A New Variance-Covariance Matrix for Improving Positioning Accuracy in High-Speed GPS Receivers

Deep PUF: A Highly Reliable DRAM PUF-Based Authentication for IoT Networks Using Deep Convolutional Neural Networks

A Lightweight and Real-Time Hardware Architecture for Interference Detection and Mitigation of Time Synchronization Attacks Based on MLP Neural Networks

A Weighted Chimp Optimization Algorithm

An Efficient Design of Anderson PUF by Utilization of the Xilinx Primitives in the SLICEM

An Ultra-Lightweight Mutual Authentication Scheme for Smart Grid Two-Way Communications

Collaborators (1)

Mehrdad Kaveh

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