DCAI 2022 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This year’s technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 46 papers were submitted, by authors from 28 different countries representing a truly “wide area network” of research activity. The DCAI’22 Special Sessions technical program has selected 22 papers (12 full papers) and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the University of L’Aquila (Italy). We would like to thank all the contributing authors, the members of the Program Committee and the sponsors (IBM, Indra, Dipartimento di Ingegneria e Scienze dell’Informazione e Matematica dell’Università degli Studi dell’Aquila, Armundia Group, Whitehall Reply, T.C. Technologies And Comunication S.R.L., LCL Industria Grafica, AIR Institute, AEPIA, APPIA).
Innehållsförteckning
Multimodal Network based graphs of primitives storage concept for web mining CBIR.- Race condition error detection in a program executed on a device with limited memory resources.- The use of corporate architecture in planning and automation of production processes.- Towards Ontology-based End-to-end Domain-oriented KBQA System.- TFEEC: Turkish Financial Event Extraction Corpus.- Explainable Artificial Intelligence on Smart Human Mobility: a comparative study approach.- Recurrent Neural Networks as Electrical Network, a formalization.- An Intelligent and Green E-healthcare Model for an Early Diagnosis of Medical Images as an Io MT Application.- Adaptive System to manage user comfort preferences and conflicts at everyday environments.- Threat detection in URLs by applying machine learning algorithms.- An approach to simulate malware propagation in the Internet of Drones.
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