michele pagano

Associate professor

University of Pisa

Italy

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About

Dr. Michele Pagano is an Associate Professor at the Università di Pisa, Italy. His research areas include advanced queuing theory, smart agriculture technologies, and fuzzy logic applications in network simulations. His recent publications focus on innovative frameworks and methodologies for optimizing simulation processes and enhancing real-time wildlife monitoring systems.

Articles (18)

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2025

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2020

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2020

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STEFANO GIORDANO

Full Professor

University of Pisa

ITALY

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michele pagano

Research Interests

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Articles (18)

Smart Wildlife Monitoring: Real-Time Hybrid Tracking Using Kalman Filter and Local Binary Similarity Matching on Edge Network

Low-Complexity Microclimate Classification in Smart Greenhouses: A Fuzzy-Neural Approach

Fuzzy-Augmented Neural Network for Reducing Computational Complexity: A Demonstration in Microclimate Prediction for Smart Agriculture

FuzzyDoo: A framework for finding flaws in the 5G landscape

Splitting-Based Regenerations for Accelerated Simulation of Queues

Quantitative delay analysis of GI/G/1 queues with heavy-tailed traffic by means of Alpha Theory

Extending the Applicability of the Pollaczek- Khinchin Formula to the Case of Infinite Service Moments

A novel method for generating the optimal routing matrix of queuing networks with batch service

Estimating Interception Density in the BB84 Protocol: A Study with a Noisy Quantum Simulator

Regenerative Analysis and Approximation of Queueing Systems with Superposed Input Processes

A Real Time Deep Learning Based Approach for Detecting Network Attacks

Enhancing Reliability in Rural Networks Using a Software-Defined Wide Area Network

On the Optimal Input Rate in Queues with Batch Service

Modelling Heavy Tailed Phenomena Using a LogNormal Distribution Having a Numerically Verifiable Infinite Variance

A Vulnerability Assessment of Open-Source Implementations of Fifth-Generation Core Network Functions

Optimization of Open Queuing Networks with Batch Services

Sensitivity Analysis and Simulation of a Multiserver Queueing System with Mixed Service Time Distribution

Sensitivity analysis and simulation of a multiserver queueing system with mixed service time distribution

Collaborators (1)

STEFANO GIORDANO

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