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Article
Automatic heart activity diagnosis based on Gram polynomials and probabilistic neural networks
The paper proposes a new approach to heart activity diagnosis based on Gram polynomials and probabilistic neural networks (PNN). Heart disease recognition is based on the analysis of phonocardiogram (PCG) digi...
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Chapter and Conference Paper
Exploiting OSC Models by Using Neural Networks with an Innovative Pruning Algorithm
In this paper we have investigated the relationship between the current and the active layer thickness of an organic solar cell (OSC) in order to improve its efficiency by means of a back propagation neural ne...
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Chapter and Conference Paper
Handwriting Recognition with Extraction of Letter Fragments
This paper is focused on intelligent character recognition of handwritten texts. We apply elements of the handwriting movement analysis in order to calculate possibilities of primitive character fragments call...
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Chapter and Conference Paper
Comparison of Effectiveness of Multi-objective Genetic Algorithms in Optimization of Invertible S-Boxes
Strength of modern ciphers depends largely on cryptographic properties of substitution boxes, such as nonlinearity and transparency order. It is difficult to optimize all such properties because they often con...
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Chapter and Conference Paper
Recognizing Context for Privacy Preserving of First Person Vision Image Sequences
The constant increasing evolution of life-logging wearable devices, as well as the fast grow of their market, has introduced relevant changes in the acquisition, storage and automatic understanding of images a...
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Chapter and Conference Paper
Extracting Location Names from Unstructured Italian Texts Using Grammar Rules and MapReduce
Named entity recognition aims at locating elements in a given text and classifying them according to pre-defined categories, such as the names of persons, organisations, locations, quantities, etc. This paper ...
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Chapter and Conference Paper
Application of Genetic Algorithms in the Construction of Invertible Substitution Boxes
Existing literature shows that genetic algorithms can be successfully used for automated construction of S-boxes. In this paper we show the usage of genetic algorithm, more specifically NSGA-II, as an aid in d...
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Chapter and Conference Paper
Characterisation and Modeling of Organic Solar Cells by Using Radial Basis Neural Networks
Neural network architectures have been proven useful to model the intrinsic characteristics of photovoltaic cells. The possibility to get rid of an a priori model is one of the many advantages of such an appro...
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Chapter and Conference Paper
Self Organizing Maps for 3D Face Understanding
Landmarks are unique points that can be located on every face. Facial landmarks typically recognized by people are correlated with anthropomorphic points. Our purpose is to employ in 3D face recognition such l...
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Chapter and Conference Paper
A Cloud Oriented Support for Motion Detection in Video Surveillance Systems Using Computational Intelligence
This paper proposes a cloud-oriented architecture for video analysis and motion detection. The core algorithm as been based on a typical computational intelligence method called Firefly Algorithm jointly with ...
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Chapter and Conference Paper
Enhancing City Transportation Services Using Cloud Support
Smart cities will provide enhanced monitoring of crucial infrastructure resources, connectivity to users and advanced information services. Thanks to gathered data the quality of traditional services and infra...
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Chapter and Conference Paper
Can We Process 2D Images Using Artificial Bee Colony?
This paper is to discuss a matter of preprocessing 2D input images by selected methods of Evolutionary Computation. In the following sections we try to analyze possibility of using Artificial Bee Colony algori...
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Chapter and Conference Paper
Is the Colony of Ants Able to Recognize Graphic Objects?
This paper is to discuss a matter of ants swarm intelligence for 2D input images recognition systems. In the following sections we try to analyze possibility of using artificial ants colony algorithm to analyz...
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Chapter and Conference Paper
An Object-Oriented Neural Network Toolbox Based on Design Patterns
Generally, the resolution of a problem by using soft-computing support requires several attempts for setting up a proper neural network. Such attempts consist of designing and training a neural network and can...
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Chapter and Conference Paper
Multi-class Nearest Neighbour Classifier for Incomplete Data Handling
The basic nearest neighbour algorithm has been designed to work with complete data vectors. Moreover, it is assumed that each reference sample as well as classified sample belong to one and the only one class....
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Chapter and Conference Paper
Toward Work Groups Classification Based on Probabilistic Neural Network Approach
This paper presents the application of some Computational Intelligence methods for obtaining a classifier analysing employees to form work groups. The proposed bio-inspired solution analyses employees using da...
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Article
Open AccessMold contamination in a controlled hospital environment: a 3-year surveillance in southern Italy
Environmental monitoring of airborne filamentous fungi is necessary to reduce fungal concentrations in operating theaters and in controlled environments, and to prevent infections. The present study reports re...
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Article
Open AccessKnowledge about tuberculosis among undergraduate health care students in 15 Italian universities: a cross-sectional study
The Italian Study Group on Hospital Hygiene of the Italian Society of Hygiene, Preventive Medicine and Public Health conducted a multicentre survey aiming to evaluate undergraduate health care students’ knowle...
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Chapter and Conference Paper
A Cascade Neural Network Architecture Investigating Surface Plasmon Polaritons Propagation for Thin Metals in OpenMP
Surface plasmon polaritons (SPPs) confined along metal-dielectric interface have attracted a relevant interest in the area of ultracompact photonic circuits, photovoltaic devices and other applications due to ...
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Chapter and Conference Paper
A Hybrid Neuro–Wavelet Predictor for QoS Control and Stability
For distributed systems to properly react to peaks of requests, their adaptation activities would benefit from the estimation of the amount of requests. This paper proposes a solution to produce a short-term f...
