Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection: International Workshops of PAAMS 2022, L'Aquila, Italy, July 13–15, 2022, Proceedings: Communications in Computer and Information Science, cartea 1678
Editat de Alfonso González-Briones, Ana Almeida, Alberto Fernandez, Alia El Bolock, Dalila Durães, Jaume Jordán, Fernando Lopesen Limba Engleză Paperback – 13 oct 2022
The total of 25 full papers presented in this volume were carefully reviewed and selected from 39 submissions.
The papers in this volume stem from the following meetings: Workshop on Artificial Intelligence for Industry (AI4Industry); Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA); Workshop on Character Computing (C2); Workshop on Deep Learning Applications (DeLA); Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI); Workshop on Multi-agent based Applications for Modern Energy Markets, Smart Grids and Future Power Systems (MASGES).
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Specificații
ISBN-13: 9783031186967
ISBN-10: 3031186966
Pagini: 314
Ilustrații: XIII, 314 p. 106 illus., 75 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031186966
Pagini: 314
Ilustrații: XIII, 314 p. 106 illus., 75 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
Cuprins
Workshop on Artificial Intelligence for Industry (AI4Industry).- Towards the Application of Multi-Agent Task Allocation to Hygiene Tasks in the Food Production Industry.- David – A novel approach to an industrial Recommender System.- Multiple Domain Security Awareness for Factories of the Future.- Using an explainable machine learning approach to minimize opportunistic maintenance interventions.- Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA).- Object Recognition-Driven Cultural Travel Guide for the Coffee Cultural Landscape of Colombia.- Towards Semantic Modelling of the Edge-Cloud Continuum.- A collaborative approach to mobile crowdsourcing based on data stream learning.- On Balancing Fairness and Efficiency of Task Assignment in Agent Societies.- Plant disease detection: an Edge-AI proposal.- Machine Lerning for the analysis of vegetation in the heritage city of Salamanca.- Demand-responsive Mobility for Rural Areas: A Review.- Workshop on Character Computing (C2).- FAN-VE: A Tool for Facial Animation Generation in Virtual Reality Education.- Vaxera: An Empathetic Chatbot for COVID-19 Vaccination.- Personalized Avatars without Agentic Interaction: Do they promote learning performance and sense of Self in a teaching context? A pilot study.- The Effects of Personality Traits on Rumors.- Workshop on Deep Learning Applications (DeLA).- A Computer Vision Model for Detecting Suspicious Behaviors from Multiple Cameras in Crime Hotspots using Convolutional Neural Networks.- Analysis of Machine Learning Algorithms for Violence Detection in Audio.- Improving the Effectiveness of Heart Disease Diagnosis with Machine Learning.- Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI).- Planning model for visiting tourist attractions with minimum costs.- Implementation of a FHIR Specification for the Interoperability of a Remote Monitoring Platform of Patients with Vascular Diseases.- Legal issues of the use of chatbot apps for mental health support.- A Hybrid Model to Classify Physical Activity Profiles.- Workshop on Multi-agent based Applications for Modern Energy Markets, Smart Grids and Future Power Systems (MASGES).- Impact asessment of Simultaneous deployment of Electric vehicle and Solar Energy sources in Unbalanced Distribution network.- Strategic Bidding of Retailers in Wholesale Energy Markets: A Model Using Hybrid Forecast Methods.- Approximate Time-Series Data Aggregation using Grouping Nodes in Peer to Peer Network.