Listar por tema "Statistical tests"
Mostrando ítems 1-15 de 15
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An analytical perspective on Bayesian uncertainty quantification and propagation in mode shape assembly
(2020)Assembling local mode shapes identified from multiple setups to form global mode shapes is of practical importance when the degrees of freedom (dofs) of interest are measured separately in individual setups or when one ... -
Analyzing manufacturing sector and selected development challenges: A panel data analysis
(2021)The importance of manufacturing as a main determinant of economic growth has been explored extensively in the literature considering manufacturing as the engine of economic growth. In our study, a new database covering 117 ... -
Attitudes and perceptions of Greek drivers towards Autonomous and Connected Vehicles
(2022)The rapid evolution of digital technology, which is referred to as the "Fourth Industrial Revolution", has radically changed daily routine of people and generally the way in which society works. The gradual penetration of ... -
Capturing system dynamics using complex networks and granger causality analysis: Application to environmental data
(2016)In the present study, we introduce a novel methodology to analyze environmental observations. Environmental phenomena are usually complex and the majority of them present nonlinear behavior. In the first part of the present ... -
Classifying mammography images by using fuzzy cognitive maps and a new segmentation algorithm
(2018)Mammography is one of the best techniques for the early detection of breast cancer. In this chapter, a method based on fuzzy cognitive map (FCM) and its evolutionary-based learning capabilities is presented for classifying ... -
Comparison of trend analysis models in water quality and quantity data in lignite mines in Western Macedonia, Greece
(2010)In this study, daily measures of three water quality and quantity parameters from one monitoring Telemetric Stations (T.S.) were examined for trend. "PERSEAS" Research Team in cooperation with "Public Power Corporation" ... -
A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology
(2022)This study targets on the development of an explainable Convolutional Neural Network (CNN) pipeline in the form of a handcrafted CNN to identify patients' coronary artery disease status (normal, ischemia or infarction). ... -
Crowd Sourcing as an Improvement of N-Grams Text Document Classification Algorithm
(2020)A common task in a world of natural language processing is text classification useful for e.g.spam filters, documents sorting, science articles classification or plagiarism detection. This can still be done best and most ... -
Dynamics and causalities of atmospheric and oceanic data identified by complex networks and Granger causality analysis
(2018)Understanding the underlying processes and extracting detailed characteristics of spatiotemporal dynamics of ocean and atmosphere as well as their interaction is of significant interest and has not been well thoroughly ... -
Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss
(2020)We present our winning submission to the First International Workshop on Bodily Expressed Emotion Understanding (BEEU) challenge. Based on recent literature on the effect of context/environment on emotion, as well as visual ... -
Examining the linkages among carbon dioxide emissions, electricity production and economic growth in different income levels
(2021)Our industrialized world highly depends on fossil fuels to cover its energy needs. Although fossil fuels have been linked with economic growth, their use has also been found to have severe impacts on the environment. The ... -
Precision‐Based Weighted Blending Distributed Ensemble Model for Emotion Classification
(2022)Focusing on emotion recognition, this paper addresses the task of emotion classification and its performance with respect to accuracy, by investigating the capabilities of a distributed ensemble model using precision‐based ... -
Spatiotemporal Analysis of Seawatch Buoy Meteorological Observations
(2015)In the present study, we analyzed meteorological observations from Seawatch buoys in the Mediterranean Sea and specifically from locations in the Aegean and Ionian Sea. The data were collected from buoys that have been ... -
SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting
(2020)The application of Artificial Intelligence (AI) has been upgraded in many scientific fields the last years, with the development of new artificial intelligence-based technologies and techniques. Considering that in the ... -
Using Combined Diagnostic Test Results to Hindcast Trends of Infection from Cross-Sectional Data
(2016)Infectious disease surveillance is key to limiting the consequences from infectious pathogens and maintaining animal and public health. Following the detection of a disease outbreak, a response in proportion to the severity ...