Distributed Computing and Artificial Intelligence, 19th International Conference

ISBN-13: 9783031208584 / Angielski / Miękka / 2022 / 334 str.

Sigeru Omatu; Rashid Mehmood; Pawel Sitek

Opis

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, 61 papers were submitted, by authors from 28 different countries representing a truly “wide area network” of research activity. The DCAI’22 technical program has selected 32 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).

Spis treści

Natural Language Processing Based on a Text Graph Convolutional Network.- An Alternative Metric to Support Case Base Maintenance in Case-Based Reasoning Processes.- A GAN-BERT Based Approach for Bengali Text Classification with a Few Labeled Examples.- Algorithmic Dependent-Type Theory of Situated Information and Context Assessments.- Delayed and Periodic Execution of Tasks in the Jadescript Programming Language.- Comparison of algorithms for the detection of Plasmodium falciparum: A review of machine learning based approaches.- Proposal for measuring the effectiveness of an intelligent control system for traffic crossings.- A Method to Predict the Relative Performance of Stocks Using Financial Meta-indicators.