Multidisciplinary approaches to neural computing

✍ Scribed by Esposito, Anna

• Publisher: Springer
• Year: 2018
• Tongue: English
• Leaves: 380
• Series: Smart innovation systems and technologies 69
• Category: Library

✦ Synopsis

This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressed are multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited to improve the quality of life of their end users. Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to – which range from medicine to psychology, industrial and social robotics, computer vision, and signal processing (among many others) – ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book. This book is of primary importance for: (a) the academic research community, (b) the ICT market, (c) PhD students and early-stage researchers, (d) schools, hospitals, rehabilitation and assisted-living centers, and (e) representatives of multimedia industries and standardization bodies. Read more...

Abstract: This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressed are multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited to improve the quality of life of their end users. Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to – which range from medicine to psychology, industrial and social robotics, computer vision, and signal processing (among many others) – ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book. This book is of primary importance for: (a) the academic research community, (b) the ICT market, (c) PhD students and early-stage researchers, (d) schools, hospitals, rehabilitation and assisted-living centers, and (e) representatives of multimedia industries and standardization bodies

✦ Table of Contents

Front Matter ....Pages i-xv
Front Matter ....Pages 1-1
Redefining Information Processing Through Neural Computing Models (Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero)....Pages 3-7
Front Matter ....Pages 9-9
A Neural Approach for Hybrid Events Discrimination at Stromboli Volcano (Antonietta M. Esposito, Flora Giudicepietro, Silvia Scarpetta, Sumegha Khilnani)....Pages 11-21
Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm (Leonardo Rundo, Carmelo Militello, Giorgio Russo, Davide D’Urso, Lucia Maria Valastro, Antonio Garufi et al.)....Pages 23-37
Integrating QuickBundles into a Model-Guided Approach for Extracting “Anatomically-Coherent” and “Symmetry-Aware” White Matter Fiber-Bundles (Francesco Cauteruccio, Claudio Stamile, Giorgio Terracina, Domenico Ursino, Dominique Sappey-Marinier)....Pages 39-46
Accurate Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach (Annalisa Sgrò, Domenico De Carlo, Giovanni Angiulli, Francesco Carlo Morabito, Mario Versaci)....Pages 47-55
Effective Blind Source Separation Based on the Adam Algorithm (Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini)....Pages 57-66
Front Matter ....Pages 67-67
Depth-Based Hand Pose Recognizer Using Learning Vector Quantization (Domenico De Felice, Francesco Camastra)....Pages 69-75
Correlation Dimension-Based Recognition of Simple Juggling Movements (Francesco Camastra, Francesco Esposito, Antonino Staiano)....Pages 77-84
Cortical Phase Transitions as an Effect of Topology of Neural Network (Ilenia Apicella, Silvia Scarpetta, Antonio de Candia)....Pages 85-96
Human Fall Detection by Using an Innovative Floor Acoustic Sensor (Diego Droghini, Emanuele Principi, Stefano Squartini, Paolo Olivetti, Francesco Piazza)....Pages 97-107
An Improved Hilbert-Huang Transform for Non-linear and Time-Variant Signals (Cesare Alippi, Wen Qi, Manuel Roveri)....Pages 109-117
Privacy-Preserving Data Mining for Distributed Medical Scenarios (Simone Scardapane, Rosa Altilio, Valentina Ciccarelli, Aurelio Uncini, Massimo Panella)....Pages 119-128
Rule Base Reduction Using Conflicting and Reinforcement Measures (Luca Anzilli, Silvio Giove)....Pages 129-137
An Application of Internet Traffic Prediction with Deep Neural Network (Sanam Narejo, Eros Pasero)....Pages 139-149
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data (Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero)....Pages 151-160
Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment (Paolo Vecchiotti, Fabio Vesperini, Emanuele Principi, Stefano Squartini, Francesco Piazza)....Pages 161-170
Front Matter ....Pages 171-171
A Hybrid Variable Selection Approach for NN-Based Classification in Industrial Context (Silvia Cateni, Valentina Colla)....Pages 173-180
Advanced Neural Networks Systems for Unbalanced Industrial Datasets (Marco Vannucci, Valentina Colla)....Pages 181-189
Quantum-Inspired Evolutionary Multiobjective Optimization for a Dynamic Production Scheduling Approach (Maurizio Fiasché, Diego E. Liberati, Stefano Gualandi, Marco Taisch)....Pages 191-201
A Neural Network-Based Approach for Steam Turbine Monitoring (Stefano Dettori, Valentina Colla, Giuseppe Salerno, Annamaria Signorini)....Pages 203-211
A Predictive Model of Artificial Neural Network for Fuel Consumption in Engine Control System (Khurshid Aliev, Sanam Narejo, Eros Pasero, Jamshid Inoyatkhodjaev)....Pages 213-222
SOM-Based Analysis to Relate Non-uniformities in Magnetic Measurements to Hot Strip Mill Process Conditions (Gianluca Nastasi, Claudio Mocci, Valentina Colla, Frenk Van Den Berg, Willem Beugeling)....Pages 223-231
Vision-Based Mapping and Micro-localization of Industrial Components in the Fields of Laser Technology (C. Theoharatos, D. Kastaniotis, D. Besiris, N. Fragoulis)....Pages 233-243
Front Matter ....Pages 245-245
Artificial Neural Network Analysis and ERP in Intimate Partner Violence (Sara Invitto, Arianna Mignozzi, Giulia Piraino, Gianbattista Rocco, Irio De Feudis, Antonio Brunetti et al.)....Pages 247-257
Investigating the Brain Connectivity Evolution in AD and MCI Patients Through the EEG Signals’ Wavelet Coherence (Cosimo Ieracitano, Nadia Mammone, Fabio La Foresta, Francesco C. Morabito)....Pages 259-269
On the Classification of EEG Signal by Using an SVM Based Algorithm (Valeria Saccá, Maurizio Campolo, Domenico Mirarchi, Antonio Gambardella, Pierangelo Veltri, Francesco Carlo Morabito)....Pages 271-278
Preprocessing the EEG of Alzheimer’s Patients to Automatically Remove Artifacts (Nadia Mammone)....Pages 279-287
Smell and Meaning: An OERP Study (Sara Invitto, Giulia Piraino, Arianna Mignozzi, Simona Capone, Giovanni Montagna, Pietro Aleardo Siciliano et al.)....Pages 289-300
Automatic Detection of Depressive States from Speech (Aditi Mendiratta, Filomena Scibelli, Antonietta M. Esposito, Vincenzo Capuano, Laurence Likforman-Sulem, Mauro N. Maldonato et al.)....Pages 301-314
Effects of Gender and Luminance Backgrounds on the Recognition of Neutral Facial Expressions (Vincenzo Capuano, Gennaro Cordasco, Filomena Scibelli, Mauro Maldonato, Marcos Faundez-Zanuy, Anna Esposito)....Pages 315-325
Semantic Maps of Twitter Conversations (Angelo Ciaramella, Antonio Maratea, Emanuela Spagnoli)....Pages 327-338
Preliminary Study on Implications of Cursive Handwriting Learning in Schools (Andreu Comajuncosas, Marcos Faundez-Zanuy, Jordi Solé-Casals, Marta Portero-Tresserra)....Pages 339-344
Italian General Elections of 2006 and 2008: Testing the Direct and Indirect Impact of Implicit and Explicit Attitudes on Voting Behaviour (Angiola Di Conza, Maria Di Marco, Francesca Tanganelli, Ida Sergi, Vincenzo Paolo Senese, Augusto Gnisci)....Pages 345-352
Are the Gambler’s Fallacy or the Hot-Hand Fallacy due to an Erroneous Probability Estimate? (Olimpia Matarazzo, Michele Carpentieri, Claudia Greco, Barbara Pizzini)....Pages 353-368
When Intuitive Decisions Making, Based on Expertise, May Deliver Better Results than a Rational, Deliberate Approach (Mauro Maldonato, Silvia Dell’Orco, Raffaele Sperandeo)....Pages 369-377
Artificial Entities or Moral Agents? How AI is Changing Human Evolution (Mauro Maldonato, Paolo Valerio)....Pages 379-388

✦ Subjects

Neural networks (Computer science);Natural computation;Artificial intelligence;COMPUTERS / Neural Networks