Cantitate/Preț
Produs
Total produse
Vezi coșul
Technologies and Innovation de Rafael Valencia-García

Technologies and Innovation: Communications in Computer and Information Science, cartea 1873

Editat de Rafael Valencia-García, Martha Bucaram-Leverone, Javier Del Cioppo-Morstadt, Néstor Vera-Lucio, Pablo Humberto Centanaro-Quiroz
en Limba Engleză Paperback – 24 oct 2023
This book constitutes the refereed proceedings of the 9th International Conference on Technologies and Innovation, CITI  2023, held in Guayaquil, Ecuador, during November 13–16, 2023. 

The 20 full papers included in this book were carefully reviewed and selected from 51 submissions. They were organized in topical sections as follows: Machine Learning; Natural Language Processing and Semantic Web; Computer vision; and Knowledge-based systems.
Citește tot Restrânge

Din seria Communications in Computer and Information Science

Preț: 52380 lei

Preț vechi: 65474 lei
-20%

Puncte Express: 786

Carte tipărită la comandă

Livrare economică 18 iulie-01 august

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783031456817
ISBN-10: 3031456815
Pagini: 308
Ilustrații: XIII, 292 p. 132 illus., 99 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.47 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Machine Learning.- Towards a model for the detection of firearms using machine learning algorithms: A case study.- Logistic regression model to predict the risk of contagion of COVID-19 in patients with associated morbidity using supervised machine learning.- Analysis of CoI Presence Indicators in a Moodle Forum using Unsupervised Learning Techniques.- Development of an intelligent Web system for the analysis of data in the F2 layer of the ionosphere using Machine Learning techniques and its implementation as potential earthquake precursors.- Recurrent Neural Networks (RNN) to predict the curve of COVID-19 in Ecuador during the El Niño Phenomenon.- Traffic Classification in Software-Defined Networking by Employing Deep Learning Techniques: A Systematic Literature Review.- Use of data mining strategies in environmental parameters in poultry farms, a case study.- Natural Language Processing and Semantic Web.- A First Approach to the Classification of Adverse Drug Effects on Twitter through Machine Learning.- SafercITies. Intelligent system for the analysis and monitoring of citizen security.- Automatic classification of Tweets identifying mental health conditions in Central American population in a pandemic.- SentiDariPers: Sentiment Analysis of Dari-Persian Tweets Based on People’s Views and Opinion.- Reuse of Ontological Knowledge in Open Science: Models, Sources, Repositories.- Knowledge Graph for Retail commerce.- Automated creation of a repository for learning words in the area of computer science by keyword extraction methods and text classification.- Computer vision.- Automatic identification of hermaphrodite papaya applying computer vision and Machine Learning.- Automatic Detection of Melanoma in Human Skin Lesions.- Information systems based on computer vision for the control of Sigatoka black disease in bananas.- Knowledge-based systems.- Bibliometric analysis based on scientific mapping in the use of digital marketing strategies.- Innovating Chemistry Education: Integrating Cultural Knowledge through a Practical Guide and Augmented Reality.- Evaluation of a Grid for the Identification of Traffic Congestion Patterns.