Proceedings of the International Conference on Cognitive and Intelligent Computing [electronic resource] : ICCIC 2021, Volume 2 / edited by Amit Kumar, Gheorghita Ghinea, Suresh Merugu, Takako Hashimoto.

Colaborador(es): Kumar, Amit [editor.] | Ghinea, Gheorghita [editor.] | Merugu, Suresh [editor.] | Hashimoto, Takako [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Cognitive Science and TechnologyEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: X, 723 p. 349 illus., 281 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789811923586Tema(s): Computational intelligence | Machine learning | Internet of things | Artificial intelligence | Computational Intelligence | Machine Learning | Internet of Things | Artificial IntelligenceFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
1.TEACHING ENGLISH AS A SECOND LANGUAGE: IMPROVING DIGITAL LITERACY SKILLS -- 2. ICT Based Collaborative Learning Approach: Enhancing Students' Language Skills -- 3.Modified Sierpinski Carpet Fractal Antenna for the Wireless Applications -- 4.COVID 19 Recovery Prediction using Regression based Machine Learning Approaches -- 5.Regression to Forecast: An In-play Outcome Prediction for One-day Cricket Matches.
En: Springer Nature eBookResumen: This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC - 2021), held on December 11-12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human-Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.
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Acceso multiusuario

1.TEACHING ENGLISH AS A SECOND LANGUAGE: IMPROVING DIGITAL LITERACY SKILLS -- 2. ICT Based Collaborative Learning Approach: Enhancing Students' Language Skills -- 3.Modified Sierpinski Carpet Fractal Antenna for the Wireless Applications -- 4.COVID 19 Recovery Prediction using Regression based Machine Learning Approaches -- 5.Regression to Forecast: An In-play Outcome Prediction for One-day Cricket Matches.

This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC - 2021), held on December 11-12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human-Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.

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