Titlebook: Neural Approaches to Dynamics of Signal Exchanges; Anna Esposito,Marcos Faundez-Zanuy,Eros Pasero Book 2020 Springer Nature Singapore Pte

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Simultaneous Learning of Fuzzy Setsher their number or labels approximating membership values. This data-driven approach is completed via expert knowledge incorporation in the form of predefined shapes for the membership functions. The procedure is successfully tested on a benchmark.

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Some Note on Artificial Intelligencere still open problems and need further investigations. This is because, independently of the large use of neural networks in several fields, using neural networks and similar artificial intelligence techniques to solve problems of non-polynomial complexity is by itself a creative and intelligent pr

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Music Genre Classification Using Stacked Auto-Encoderstecture works by stacking some hidden representations resulting from the previous level and related to different frames of the input signal. In this way, the proposed architecture shows a more robust classification compared to a standard SAE. The input to the first level of the SAE is fed by a set o

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Linear Artificial Forces for Human Dynamics in Complex Contextssions. Motion dynamics should therefore include both social and kinematic rules. The proposed analysis aims at defining a linear dynamic model to predict future positions of different types of agents, namely pedestrians and cyclists, observing a limited number of frames. The dynamics are defined in

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Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detectionum of the audio signal is extracted from overnight recordings and is used as input to the CRNN with the aim to detect the precise onset and offset time of the sound events. The dataset used in the experiments is highly imbalanced toward the non-snore class. A data augmentation technique is introduce

CULP

Italian Text Categorization with Lemmatization and Support Vector Machinese performs the tokenization, removing the punctuation signs; the second and third ones carry out stopping and lemmatization, respectively; the fourth module implements the bag-of-words approach; the fifth one performs feature dimensionality reduction eliminating poor discriminant features; finally,

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SOM-Based Analysis of Volcanic Rocks: An Application to Somma–Vesuvius and Campi Flegrei Volcanoes (eismology and volcanology. In particular, they have been applied to the study of the volcanic eruptive products of the recent activity of Mount Etna volcano. This work presents an application of the self-organizing map (SOM) neural networks to perform a clustering analysis on petrographic patterns o

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Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach make the nanostructure a network of nonhomogeneous nanofibers, unsuitable for industrial production at large scale of the nanoproducts. Therefore, monitoring and controlling the quality of nanomaterials production has become increasingly important and intelligent anomalies detection systems have be

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