Distributed computing and artificial intelligence, 17th International Conference

Distributed computing and artificial intelligence, 17th International Conference / Yucheng Dong, Enrique Herrera-Viedma, Kenji Matsui, Shigeru Omatsu, Alfonso González Briones, Sara Rodríguez González, editors.

This book 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. DCAI 2020 is a forum to present applications of innovative techniques for...

Full description

Saved in:
Bibliographic Details
Corporate Author: International Symposium on Distributed Computing and Artificial Intelligence L'Aquila, Italy
Other Authors: Dong, Yucheng, Herrera-Viedma, Enrique, Matsui, Kenji, Ōmatu, S., 1946-, González Briones, Alfonso, Rodríguez González, Sara
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2021]
Series:Advances in intelligent systems and computing ; 1237.
Subjects:
Electronic data processing > Distributed processing > Congresses.
Artificial intelligence > Congresses.
Artificial intelligence
Electronic data processing > Distributed processing
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • A Risk-Driven Model for Traffic Simulation
  • SMARTSEC4COP: Smart Cyber-Grooming Detection Using Natural Language Processing and Convolutional Neural Networks -Improving BERT with Focal Loss for Paragraph Segmentation of Novels
  • Parallel Implementation of Nearest Feature Line and Rectified Nearest Feature Line Segment Classifiers Using OpenMP
  • Let's Accept a Mission Impossible with Formal Argumentation, or Not
  • Analysis of Partial Semantic Segmentation for Images of Four-Scene Comics
  • Two Agent-Oriented Programming Approaches Checked Against a Coordination Problem
  • Context-Aware Information for Smart Retailers
  • Morphometric Characteristics in Discrete Domain for Brain Tumor Recognition
  • Filtering Distributed Information to Build a Plausible Scene for Autonomous and Connected Vehicles
  • A Lightweight Pedestrian Detection Model for Edge Computing Systems
  • Collaborative Recommendations in Online Judges Using Autoencoder Neural Networks
  • Natural Language Inference in Ordinary and Support Verb Constructions
  • Comparative Analysis Between Different Automatic Learning Environments for Sentiment Analysis
  • Context-Aware Music Recommender System Based on Automatic Detection of the User's Physical Activity
  • Classification of Chest Diseases Using Deep Learning
  • Mobile Device-Based Speech Enhancement System Using Lip-Reading
  • Mobile Networks and Internet of Things: Contributions to Smart Human Mobility
  • Design and Implementation of a System to Determine Property Tax Through the Processing and Analysis of Satellite Images
  • Multi-step Ultraviolet Index Forecasting Using Long Short-Term Memory Networks
  • Multispectral Image Analysis for the Detection of Diseases in Coffee Production
  • Photograph Classification Based on Main Theme and Multiple Values by Deep Neural Networks
  • In-Vehicle Violence Detection in Carpooling: A Brief Survey towards a General Surveillance System
  • Multiagent Systems and Role-Playing Games Applied to Natural Resources Management
  • A Systematic Review to Multiagent Systems
  • and regulatory Networks
  • The Reversibility of Cellular Automata on Trees with Loops
  • Virtual Reality Tool for Learning Sign Language in Spanish Data Augmentation Using Gaussian Mixture Model on CSV Files
  • Sentiment Analysis in Twitter: Impact of Morphological Characteristics
  • The Use of Artificial Intelligence for Clinical Coding Automation: A Bibliometric Analysis
  • A Feature Based Approach on Behavior Analysis of the Users on Twitter: A Case Study of AusOpen Tennis Championship
  • S-COGIT: A Natural Language Processing Tool for Linguistic Analysis of the Social Interaction Between Individuals with Attention-Deficit Disorder
  • A Machine Learning Platform for Stock Investment Recommendation Systems
  • Applying Machine Learning Classifiers in Argumentation Context
  • Type-Theory of Parametric Algorithms with Restricted Computations.

Similar Items