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Chapter and Conference Paper
A Novel ConvMixer Transformer Based Architecture for Violent Behavior Detection
Nowadays most of the streets, squares and buildings are monitored by a large number of surveillance cameras. Nevertheless, these cameras are used only to record scenes to be analyzed after crimes or thefts, an...
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Chapter and Conference Paper
Type-2 Fuzzy Classifier with Smooth Type-Reduction
The defuzzification of a type-2 fuzzy set is a two-stage process consisting of firstly type-reduction, and a secondly defuzzification of the resultant type-1 set. All accurate type reduction methods used to bu...
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Chapter and Conference Paper
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer
Attention-only Transformers [34] have been applied to solve Natural Language Processing (NLP) tasks and Computer Vision (CV) tasks. One particular Transformer architecture developed for CV is the Vision Transform...
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Chapter and Conference Paper
Vision-Based Holistic Scene Understanding for Context-Aware Human-Robot Interaction
Human activity recognition systems from static images or video sequences are becoming more and more present in our life. Most computer vision applications such as human-computer interaction, virtual reality, p...
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Chapter and Conference Paper
Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection
In this paper we describe and compare multiple one-class anomaly detection methods for Cyber-Physical Systems (CPS) that can be trained with data collected only during normal behaviors. We also consider the pr...
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Chapter and Conference Paper
Grou** Handwritten Letter Strokes Using a Fuzzy Decision Tree
This paper presents an algorithm for grou** strokes. This method includes two stages. Firstly, a set of strokes is transformed into a set of hypotheses that a group of strokes matches the pattern. For this p...
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Article
A context-driven privacy enforcement system for autonomous media capture devices
The evolution of the Internet of Things and the related market has renewed the concept of media recording and sharing by means of a new kind of home-consumer devices, capable of continuous and autonomous media...
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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...