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International Conference on Applied Technologies

E-BookPDF1 - PDF WatermarkE-Book
279 Seiten
Englisch
Springer Nature Switzerlanderschienen am28.05.20242024
The three-volume proceedings set CCIS 2049, 2050 and 2051 constitutes the refereed proceedings of the 5th International Conference on Applied Technologies on International Conference on Applied Technologies, ICAT 2023, held in Samborondon, Ecuador, November 22-24, 2023.

The 66 papers included in these proceedings were carefully reviewed and selected from 250 submissions. They are organized in sections by topics as follows: Intelligent Systems, Communications, e-Commerce, e-Government, e-Learning, Electronics, Machine Vision, Security, Technology Trends, and Z AT for Engineering Aplications.
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Verfügbare Formate
BuchKartoniert, Paperback
EUR128,39
E-BookPDF1 - PDF WatermarkE-Book
EUR139,09
E-BookPDF1 - PDF WatermarkE-Book
EUR139,09
E-BookPDF1 - PDF WatermarkE-Book
EUR139,09

Produkt

KlappentextThe three-volume proceedings set CCIS 2049, 2050 and 2051 constitutes the refereed proceedings of the 5th International Conference on Applied Technologies on International Conference on Applied Technologies, ICAT 2023, held in Samborondon, Ecuador, November 22-24, 2023.

The 66 papers included in these proceedings were carefully reviewed and selected from 250 submissions. They are organized in sections by topics as follows: Intelligent Systems, Communications, e-Commerce, e-Government, e-Learning, Electronics, Machine Vision, Security, Technology Trends, and Z AT for Engineering Aplications.
Details
Weitere ISBN/GTIN9783031589560
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2024
Erscheinungsdatum28.05.2024
Auflage2024
Reihen-Nr.2049
Seiten279 Seiten
SpracheEnglisch
Dateigrösse24384 Kbytes
IllustrationenXXVI, 279 p. 151 illus., 115 illus. in color.
Artikel-Nr.15426216
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
.- Intelligent Systems.

.- Mobile Application for Calorie Control using Machine Learning.

.- Application of Machine Learning for Air Quality Analysis.

.- Unsupervized Techniques to Identify Patterns in Gynecologic Information.

.- Web Application for Early Cataract Detection Using a Deep Learning Cloud Service.

.- Analyze and implement a reinforced AI chatbot in Guayaquil to improve mental health in adolescents with the use of the neural generative models.

.- Detection of Ovarian Cancer Using Improved Deep Learning Model.

.- Navigating the Chatbot Terrain: AI-driven Conversational Interfaces.

.- INTELLIGENT VIRTUAL ASSISTANT FOR ELEVATORS POWERED BY FACIAL RECOGNITION AND VOICE COMMANDS.

.- Otsu Segmentation and Deep Learning Models for the Detection of Melanoma.

.- Hybrid Residual Network and XGBoost Method for the Accurate Diagnosis of Lung Cancer.

.- Generic Framework of New Era Artificial Intelligence and its Applications.

.- Exploring the Molecular Diversity of SARS, Ebola, MERS, and SAR-COV-2 Viruses Using Genomics Virus Classification Algorithm: ViroGen.

.- Improving Dynamic Behavior of Vehicular Ad Hoc Networks by Integrating Game Theory Technique.

.- Machine Learning to investigate determinants of Intention to Purchase Organic Food.

.- INFLUENCE ANALYSIS OF DRIVING STYLE ON THE ENERGY CONSUMPTION OF AN ELECTRIC VEHICLE THROUGH PID SIGNALS STUDY.

.- Prediction of Academic Outcomes using Machine Learning Techniques: A Survey of Findings on Higher Education.

.- Identification of factors and teacher profile associated with student performance using fuzzy techniques and data mining.

.- Predictive model for accurate horticultural product pricing using Machine Learning.

.- Analysis of Driving Style and its Influence on Fuel Consumption for the City of Quito, Ecuador: A Data-Driven Study.

.- Preventing Drug Interactions in Diabetic Patients: The Role of a Mobile Conversational Agent.
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