Cantitate/Preț
Produs

Nature of Computation and Communication: 8th EAI International Conference, ICTCC 2022, Vinh Long, Vietnam, October 27-28, 2022, Proceedings: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 473

Editat de Cong Vinh Phan, Thanh Dung Nguyen
en Limba Engleză Paperback – 24 mar 2023
This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Nature of Computation and Communication, ICTCC 2022, held in Vinh Long, Vietnam, in October 27-28 2022.
The 11 revised full papers presented were carefully selected from 32 submissions. The papers of ICTCC 2022 cover formal methods for self-adaptive systems and discuss natural approaches and techniques for natural computing systems and their applications.

Citește tot Restrânge

Din seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Preț: 40418 lei

Preț vechi: 50522 lei
-20% Nou

Puncte Express: 606

Preț estimativ în valută:
7735 8035$ 6425£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031287893
ISBN-10: 3031287894
Pagini: 173
Ilustrații: XII, 173 p. 105 illus., 66 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Locul publicării:Cham, Switzerland

Cuprins

Fuzzy logic, Quantum logic, Data virtualization, Automated test.- Modeling With Words: Steps Towards a Fuzzy Quantum Logic.- A Proposed Solution for Log Collection and Analysis in Kubernetes Environment.- Automated tests using Selenium framework.- Data mining.- The performance of a kernel-based variable dimension reduction method.- Detecting Major Extrema in Streaming Time Series.- Use of Raman spectroscopy to diagnose diabetes with SVM.- A New Approach for Visual Analytics Applying to
Multivariate Data of Student Intakes in the University.- Machine learning, Deep learning.- Predicting academic performance of high school students.- Gross Domestic Product Prediction in various countries with Classic Machine Learning Techniques.- Palmprint Recognition Using Learning Discriminant Line Direction Descriptors.- Layering images with Convolution Neural Networks on cloud computing.