Eros Pasero – författare

This carefullyedited book is putting emphasis on computational and artificial intelligentmethods for learning and their relative applications in robotics, embeddedsystems, and ICT interfaces for psychological and neurological diseases. Thebook is a follow-up of the scientific workshop on Neural Networks (WIRN 2015)held in Vietri sul Mare, Italy, from the 20th to the 22nd of May 2015. Theworkshop, at its 27th edition became a traditional scientific event thatbrought together scientists from many countries, and several scientificdisciplines. Each chapter is an extended version of the original contributionpresented at the workshop, and together with the reviewers’ peer revisions italso benefits from the live discussion during the presentation.

The content of book is organized in the following sections.

1. Introduction,

2. Machine Learning,

3. Artificial Neural Networks: Algorithms and models,

4. Intelligent Cyberphysical and Embedded System,

5. Computational Intelligence Methods for Biomedical ICT in NeurologicalDiseases,

6. Neural Networks-Based Approaches to Industrial Processes,

7. Reconfigurable ModularAdaptive Smart Robotic Systems forOptoelectronics

Industry: The White''R Instantiation

This book is unique in proposing a holistic and multidisciplinaryapproach to implement autonomous, and complex Human Computer Interfaces.

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.

The book is based on interdisciplinary research on various aspects and dynamics of human multimodal signal exchanges. It discusses realistic application scenarios where human interaction is the focus, in order to

This book is a valuable resource for 

a.  the research community, PhD students, early stage researchers

c.  schools, hospitals, and rehabilitation and assisted-living centers

e.  the ICT market, and representatives from multimedia industries

This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generation, filtering, equalization, signals from arrays of sensors, and perturbations in the automatic control of industrial production processes. It also discusses the drastic changes in financial, economic, and work processes that are currently being experienced by the computational and engineering sciences community.

Addresses key aspects, such as the integration of neural algorithms and procedures for the recognition, the analysis and detection of dynamic complex structures and the implementation of systems for discovering patterns in data, the book highlights the commonalities between computational intelligence (CI) and information and communications technologies (ICT) to promote transversal skills and sophisticated processing techniques.

This book is a valuable resource for

a. The academic research community

b. The ICT market

c.  PhD students and early stage researchers

d. Companies, research institutes

e. Representatives from industry and standardization bodies

This book illustrates recent advances in Neural Artificial Intelligent Theories and Applications discussed by selected papers presented at 30th edition of the International Workshops on Neural Network (WIRN 2023). The book discusses novel technologies for unsupervised multimodal complex autonomous systems using new generation of AI algorithms. The book also reports on advanced acoustical, perceptual, and psychological analysis of verbal and non-verbal communication of signals originating in spontaneous face-to-face interaction, automatic procedures capable of recognizing human emotional states, and applications improving the performance of human–machine interaction for the deployment of socially and emotionally believable assistive technologies.