Search results for "Artificial intelligence."
showing 10 items of 6109 documents
Conversational agents in online organization–stakeholder interactions: a state-of-the-art analysis and implications for further research
2020
PurposeThe purpose of this study is to review the extant literature on chatbots and stakeholder interactions to identify major trends and shed light on knowledge gaps.Design/methodology/approachA systematic literature review was conducted combining qualitative and quantitative approaches. A code book based on early systematic literature reviews was developed and used to extract information from 62 discrete peer-reviewed English articles. An inductive approach was used to analyse definitions of chatbots, topics, metrics, perspectives and implications.FindingsChatbots have been studied by many different disciplines, but not much from organizational, stakeholder and corporate communication per…
Practices and Infrastructures for Machine Learning Systems : An Interview Study in Finnish Organizations
2022
Using interviews, we investigated the practices and toolchains for machine learning (ML)-enabled systems from 16 organizations across various domains in Finland. We observed some well-established artificial intelligence engineering approaches, but practices and tools are still needed for the testing and monitoring of ML-enabled systems. Peer reviewed
Koncepcje dotyczące osobowości prawnej robotów -zagadnienia wybrane
2019
The purpose of this article is to present the most characteristic positions of representatives of the doctrine (both representing the common law system and continental law system) whether, and if so, how to regulate legal status of robots, which might inspire a further discussion in the matter. The reason to start a discussion regarding this topic was a resolution of the European Parliament of 16.2.2017, which included a recommendation of the Commission regarding civil law regulations connected with robotics (2015/2103(INL))
Integrative Clinical Research
2022
This book embraces a comprehensive range of research across several disciplines, providing insights and fresh perspectives on clinical topics, emphasizing the integrative medical approach. The book also addresses an increasing role of artificial intelligence in the development of clinical methodologies, research, and patient-oriented care. The authors share expertise and experience in rehabilitation medicine whose healing-effects particularly depend on the interaction between the therapist and patient. Chapters present novel approaches in manual rehabilitative therapy of common painful and disabling neuromuscular ailments, exemplified but not limited to low back pain and migraine. The myofa…
A CNN Adaptive Model to Estimate PM10 Monitoring
2006
In this work we introduce a model for studying the distribution and control of atmospheric pollution from PM10. The model is based on the use of a cellular neural network (CNN) and more precisely on the integration of the mass-balance equation; at the same time it simulates the scenario regarding a planar grid describing the whole studied area (the city of Palermo) by means of a CNN and a set of Bayesian networks. The CNN allows us to define a grid system whose dynamic evolution is a redefinition of the diffusion equation that considers contributions coming from near cells for each element of the grid. Dynamics of each cell is influenced by meteorological effects and by parameters related t…
Image classification based on 2D feature motifs
2013
The classification of raw data often involves the problem of selecting the appropriate set of features to represent the input data. In general, various features can be extracted from the input dataset, but only some of them are actually relevant for the classification process. Since relevant features are often unknown in real-world problems, many candidate features are usually introduced. This degrades both the speed and the predictive accuracy of the classifier due to the presence of redundancy in the candidate feature set. In this paper, we study the capability of a special class of motifs previously introduced in the literature, i.e. 2D irredundant motifs, when they are exploited as feat…
Iterative Learning Applied to Hydraulic Pressure Control
2018
This paper addresses a performance limiting phenomenon that may occur in the pressure control of hydraulic actuators subjected to external velocity disturbances. It is demonstrated that under certain conditions a severe peaking of the control error may be observed that significantly degrades the performance of the system due to the presence of nonlinearities. The phenomenon is investigated numerically and experimentally using a system that requires pressure control of two hydraulic cylinders. It is demonstrated that the common solution of feed forwarding the velocity disturbance is not effective in reducing the peaking that occurs as a result of this phenomenon. To improve the system perfor…
Postural and gestural synchronization, sequential imitation, and mirroring predict perceived coupling of dancing dyads
2023
Body movement is a primary nonverbal communication channel in humans. Coordinated social behaviors, such as dancing together, encourage multifarious rhythmic and interpersonally coupled movements from which observers can extract socially and contextually relevant information. The investigation of relations between visual social perception and kinematic motor coupling is important for social cognition. Perceived coupling of dyads spontaneously dancing to pop music has been shown to be highly driven by the degree of frontal orientation between dancers. The perceptual salience of other aspects, including postural congruence, movement frequencies, time-delayed relations, and horizontal mirrorin…
Evaluation de la pertinence dans un système de recommandation sémantique de nouvelles économiques
2014
Today in the commercial and financial sectors, staying informed about economic news is crucial and involves targeting good articles to read, because the huge amount of information. To address this problem, we propose an innovative article recommendation system, based on the integration of a semantic description of articles and on a knowledge ontological model. We support our recommendation system on an intrinsically efficient vector model that we have perfected to overcome the confusion existing in models between the concepts of similarity and relevancy that does not take into account the effects of the difference in the accuracy of the semantic descriptions precision between profiles and a…
The Fuzzy Concept of Idiom and What It Might Mean for Bilingual Dictionaries
2019
Linguistic categories were developed as tools for describing language systems and making them easier to learn. However, like many theoretical concepts and systems, they do not fully represent the real world and, in some cases, seek to imprison linguistic units within a well-ordered system – a procrustean bed as it were. Besides, although the most general categories are universal, the lower-ranking ones are often language-specific. Idiom (or phraseologism) is a very unclear linguistic concept, subject to never-ending debate. However, a strict adherence to categorisation is observable in practical bilingual lexicography and phraseography. This may lead to unwanted compartmentalisation and a…