Polychronis Economou

Associate Professor

University of Patras

Greece

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About

Polychronis Economou is an Associate Professor at the University of Patras, Greece. His research areas include geology education, artificial intelligence in literature reviews, meteorological dynamics, satellite data analysis, product defect monitoring, and health monitoring methodologies. He has contributed significantly through recent articles focusing on misconceptions in geology, machine learning applications, and innovative clustering algorithms.

Articles (17)

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2025

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2022

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GREECE

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Georgios Giotopoulos

Headmaster

Ministry of Education and Religious Affairs, Sport and Culture

GREECE

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Dimitrios Papoulis

Professor

University of Patras

GREECE

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Andreas Fousteris

Assistant Professor

University of Piraeus

GREECE

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Polychronis Economou

Research Interests

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About

Articles (17)

Secondary Education Students’ Misconceptions on Principles of Geology: Minerals and Rocks

AI‐Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis

Unraveling Meteorological Dynamics: A Two-Level Clustering Algorithm for Time Series Pattern Recognition with Missing Data Handling

A Novel Methodology to Correct Chlorophyll-a Concentrations from Satellite Data and Assess Credible Phenological Patterns

Monitoring defects on products' surface by incorporating scan statistics into process monitoring procedures

Two Types of Size-Biased Samples When Modeling Extreme Phenomena

Ship Engine Model Selection by Applying Machine Learning Classification Techniques Using Imputation and Dimensionality Reduction

Teaching Geology in Higher Education Institutions under COVID-19 Conditions

Hot spot identification method based on Andrews curves: an application on the COVID-19 crisis effects on caregiver distress in neurocognitive disorder

Public health monitoring using control charts based on convex hull

A clustering algorithm for overlapping Gaussian mixtures

Assessing Ships’ Environmental Performance Using Machine Learning

Projecting Annual Rainfall Timeseries Using Machine Learning Techniques

A Comparative Study of Goodness-of-Fit Tests for the Laplace Distribution

Hospital workforce mental reaction to the pandemic in a low COVID-19 burden setting: a cross-sectional clinical study

Hypothesis testing for the population mean and variance based on r-size biased samples

The Effect of COVID-19 on minor dry bulk shipping: A Bayesian time series and a neural networks approach

Collaborators (8)

Ioannis Koukouvelas

Apostolos Batsidis

Athanasios Sachlas

Eleni Gianni

George Tzavelas

Georgios Giotopoulos

Dimitrios Papoulis

Andreas Fousteris

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