At this conference, Prof. João Tiago Praça Nunes Mexia from Universidade Nova de Lisboa, Portugal served as Advisory Conference Chair. Prof. Carlos A. Braumann, University of Évora, Portugal, Prof. João Tiago Praça Nunes Mexia, Universidade Nova de Lisboa, Portugal, Prof. Swanhild Bernstein, TU Bergakademie Freiberg, Germany, Assoc. Prof. Alexander Plakhov, Universidade de Aveiro, Portugal and Assist. Prof. Sandra S. Ferreira, University of Beira Interior, Portugal delivered the keynote and invited speeches. It's highly appreciated for their excellent speeches and great contributions to this conference.
Proceeding Downloads
Modeling the Dynamics of Phlebotomine Sand Fly Population
The present study aimed at estimating the size of phlebotomine sand fly population, the vector of leishmaniases, and to gauge the impact of temperature on the size of this population. To this end, a deterministic model describing the dynamics of the ...
Exponential Autoregressive Conditional Duration Approach to Testing VaR
As laid out by the current Basel III accord and the Basel IV agreements, financial risk model evaluation remains based on the VaR measure. However, existing VaR backtesting methods are repeatedly criticized due to unsatisfactory power properties. Our ...
Combining Models
In this work we study a special class of linear mixed models - models with orthogonal block structure. Imposing a commutativity condition on them, we get a new class of mixed models, called models with commutative orthogonal block structure, COBS. This ...
Singular Value Decomposition and its Applications in Image Processing
The Singular Value Decomposition (SVD) is a highlight of linear algebra and has a wide range application in computer vision, statistics and machine learning. This paper reviews the main theorem of SVD and illustrates some applications of SVD in image ...
Feature Selection Using Simulated Kalman Filter (SKF) for Prediction of Body Fat Percentage
Simulated Kalman Filter (SKF) algorithm is a new population-based metaheuristic optimization algorithm. SKF is driven by the estimation capability of a well-known Kalman Filter. Since it is first introduced, it has been applied to various applications. ...
A LBM-based Mediator Framework for Hybrid Simulation
This paper presents a Mediate-based ABS framework for a multi-agent hybrid simulation in which agents are modeled based on a "sense-think-lookahead-act" paradigm. This design draws out some general functions as mediators from the lookahead process, and ...
Estimation of Three-Parameter Weibull Distribution Based on Artificial Fish-Swarm Algorithm
Three-parameter Weibull distribution (TPWD) plays an important role and is widely used in failure distribution modeling in reliability studies, which makes the estimation of its parameters very important and a hot study topic. In this paper, a new ...
Multiple Regression Design for a Full Factorial Base Model Associated with a Commutative Jordan Algebra
If for each treatment of a base model we consider a multiple linear regression on the same variables (dependent and independent) a multiple regression design (MRD) is obtained. If the number of observations per regression is equal, the MRD is balanced, ...
Maximum Domain of Attraction of the Conditional Exponential-Weibull Distribution
In this paper, the maximum domain of attraction of the three-parameter conditional Exponential-Weibull distribution is studied. The conditional Exponential-Weibul distribution is confirmed and proven to belong to the maximum domain of attraction of the ...
Degree-one Models and Cross Product Matrices
Degree-one models can be applied to cross products matrices and Hilbert-Schmidt scalar products matrices. The latter have an important role in the first stage (inter-structure) of STATIS methodology, while the former matrices (in particular the AAt and ...
Inference for the Evolution in Series of Studies
Studies will be matrix triplets (X,Dp,Dn), where the matrix X has a row per object and a column per variable, while Dp and Dn are weight matrices for objects and variables, respectively.
Given a series of studies (Xi,Dp,Dn),i=1,...,k, we condense the ...
An Easily Engineering-Based Multi-Dimensional Archimedean Copula Construction Method
Copula theory and method have been wildly used in the dependence research in many fields. To meet the demand of multi-dimensional copula construction, an easily engineering -based multi-dimensional Archimedean copula construction method has been ...
Nonparametric Classification of Satellite Images
The task of classifying the objects on a satellite image into predefined categories is the topic of the article. The problems arising while designing a practicable classifier are discussed. The general conditions for robustness of a classifier are ...
Stochastic Gradient Descent Combines Second-Order Information for Training Neural Network
Deep learning is received special attention in the last decade following the increasing popularity of artificial intelligence. A successful deep learning application highly depends on an effective training neural network method. Currently, the first-...
Data Mining and Opinion Mining: A Tool in Educational Context
The use of the web as a universal communication platform generates large volumes of data (Big data), which in many cases, need to be processed so that they can become useful knowledge in face of the sceptics who have doubts about the credibility of such ...
Military Equipment Project Interim Evaluation Based on Fuzzy Theory
Military equipment project interim evaluation has great significance to project management and control. Firstly, the index system is established from five aspects: development, organization and management, performance, prospective benefit and resources, ...
Spectral Graph Analysis with Apache Spark
Graphs are the cornerstone of many algorithms pertaining to various network analyses. When the problem's dimensionality is relatively small, expressed in the number of vertices and edges of a graph, then most methods perform adequately well. As the ...
Big Data Service Delivery Network
Big data service is a promising technology in Internet. Quality of service of big data services is a very important indicator. A service delivery network was presented in this paper to reduce service delays. The web services were distribution to the ...
New and Old Banknote Recognition Based on Convolutional Neural Network
Recognition for new and old currency is a key function of the paper currency sorter. How to discriminate unfitness banknotes which became rough and fuzzy, even be damaged is an important task in financial institution. Different from traditional fitness ...