1.

Record Nr.

UNINA9910502670703321

Titolo

Artificial Intelligence and Soft Computing : 20th International Conference, ICAISC 2021, Virtual Event, June 21–23, 2021, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-87897-X

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (535 pages)

Collana

Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 12855

Disciplina

006.3

Soggetti

Artificial intelligence

Software engineering

Compilers (Computer programs)

Image processing - Digital techniques

Computer vision

Computer science

Computer science - Mathematics

Artificial Intelligence

Software Engineering

Compilers and Interpreters

Computer Imaging, Vision, Pattern Recognition and Graphics

Theory of Computation

Mathematics of Computing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Neural Networks and Their Applications -- Fuzzy Systems and Their Applications -- Evolutionary Algorithms and Their Applications -- Artificial Intelligence in Modeling and Simulation -- Computer Vision, Image and Speech Analysis -- Data Mining -- Various Problems of Artificial Intelligence -- Bioinformatics, Biometrics and Medical Applications.

Sommario/riassunto

The two-volume set LNAI 12854 and 12855 constitutes the refereed



proceedings of the 20th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2021, held in Zakopane, Poland, in June 2021. Due to COVID 19, the conference was held virtually. The 89 full papers presented were carefully reviewed and selected from 195 submissions. The papers included both traditional artificial intelligence methods and soft computing techniques as well as follows: · Neural Networks and Their Applications · Fuzzy Systems and Their Applications · Evolutionary Algorithms and Their Applications · Artificial Intelligence in Modeling and Simulation · Computer Vision, Image and Speech Analysis · Data Mining · Various Problems of Artificial Intelligence · Bioinformatics, Biometrics and Medical Applications.

2.

Record Nr.

UNINA9910366653803321

Autore

Awange Joseph

Titolo

Hybrid Imaging and Visualization : Employing Machine Learning with Mathematica - Python / / by Joseph Awange, Béla Paláncz, Lajos Völgyesi

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-26153-0

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (xvii, 406 pages) : illustrations

Disciplina

006.31

Soggetti

Remote sensing

Optical data processing

Geophysics

Space sciences

Remote Sensing/Photogrammetry

Computer Imaging, Vision, Pattern Recognition and Graphics

Geophysics/Geodesy

Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.



Nota di contenuto

Dimension reduction -- Classification -- Clustering -- Regression -- Neural Networks.

Sommario/riassunto

The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks generalized by up-to-date points of view. Associated algorithms are deposited on iCloud.