Volltext-Artikel, eBooks und vieles mehr aus dem EBSCO Discovery Service

Das Gesuchte nicht gefunden? Schauen Sie in der Onleihe oder machen Sie einen Kaufvorschlag

Treffer 141 - 120 von 120

141

Python in Astronomy
Sławomir Piasecki ; Kompetenzzentrum für nicht-textuelle Materialien

Computer Science Studienbereich Informati... Ingenieurwissenschaften
142

An Introduction to Sage
Arvind S Raj ; Kompetenzzentrum für nicht-textuelle Materialien

Computer Science Studienbereich Informati... Ingenieurwissenschaften
143

cgohlke/ipcf.ipynb: v2023.12.8
Gohlke, Christoph ; orcid:0000-0001-8108-

E-Ressource
144

Comparison of Multiprocessor and Multi-Threaded Implementations of the Entropy Approach to Impute Gaps in Data in Python ; Порівняння багатопроцесорної та багатопоточної реалізацій ентропійного підходу для імпутування пропусків у даних на мові програмування Python
Zemlianyi, Oleksii ; Baibuz, Oleh ; Земляний, Олексій ; et al.
Challenges and Issues of Modern Science; Vol. 2 (2024): Challenges and Issues of Modern Science; 300-304 ; 3083-5704 ; 10.15421/cims.2

data imputation multiprocessing multithreading computation optimization багатопроцесорність... багатопоточність...
Fachzeitschrift
145

Applied Computational Thinking with Python: Design Algorithmic Solutions for Complex and Challenging Real-World Problems.
Jesús Sofía De. ; Martinez Dayrene.
EN05CEBSCO05C663

Computer algorithms Python (Computer program... Algorithms Algorithmes Python (Langage de progr... Object-oriented programm...
Buch
146

Efficient, Hierarchical, and Object-Oriented Electronic Structure Interfaces for Direct Nonadiabatic Dynamics Simulations
Sascha Mausenberger ; Severin Polonius ; Sebastian Mai ; et al.

Biophysics Biochemistry Genetics Inorganic Chemistry Biological Sciences not... Physical Sciences not el...
Fachzeitschrift
147

Development of random forest machine learning model for the detection of changes in liver tissue after exposure to iron oxide nanoparticles
Paunović-Pantić, Jovana ; Vučević, Danijela ; Pantić, Igor ; et al.
Medicinska istraživanja (2024) 57(1):21-26 ; ISSN: 0301-0619

artificial Intelligence machine learning iron oxide liver
Fachzeitschrift
148

An introduction to PyTorch & Autograd
Paul O'Grady ; Kompetenzzentrum für nicht-textuelle Materialien

Computer Science Studienbereich Informati... Ingenieurwissenschaften
150

Utilizarea Inteligenţei Artificiale în tehnologia blockchain ; Using Artificial Intelligence in blockchain technology
CHELEȘ, Ivan ; CĂRBUNE, Viorel

inteligență artificială... blockchain сriptare securitate digitală analiză de date lanțuri de aprovizionare...
Dissertation
151

6.00x Introduction to Computer Science and Programming MITx on edX Course Report - 2012 Fall
Seaton, Daniel Thomas ; Reich, Justin ; Nesterko, Sergiy O. ; et al.

MOOC Massive open online cour... MITx HarvardX edX Online learning
Report
154

Implementación de redes neuronales utilizando un esquema evolutivo orientado a problemas de clasificación
Vargas Ochoa, Carlos Edwardo ; Ugarte Macías, Juan Pablo
[1] G. P. Zhang, «Neural Networks for Classification: A Survey,» IEEE Transactions on Systems, Man and Cybernetics, vol. 30, nº 4, p. 451–462, 2000. ; [2] B. Widrow, D. E. Rumelhart y M. A. Lehr, «Neural networks: applications in industry, business and science,» Communications of the ACM, vol. 37, nº 3, p. 93–105, 1994. ; [3] H. Lu, R. Setiono y H. Liu., «Effective data mining using neural networks,» IEEE Transactions on Knowledge and Data Engineering, vol. 8, nº 6, p. 957–961, 1996. ; [4] R. Bala y D. Kumar, «Classification Using ANN: A Review,» International Journal of Computational ....

620 - Ingeniería y opera... Maquina Aprendizaje Datos Redes Neuronales Redes Neuronales Evoluti...
Dissertation
158

Unsupervised machine learning for the classification of astrophysical X-ray sources ; Aprendizaje Automático No Supervisado para la Clasificación de Fuentes Astrofísicas de Rayos X
Pérez Díaz, Víctor Samuel
Merloni, A; Predehl, P; Becker, W; Böhringer, H; Boller, T; Brunner, H; Brusa, M; Dennerl, K; Freyberg, M; Friedrich, P; Georgakakis, A; Haberl, F; Hasinger, G; Meidinger, N; Mohr, J; Nandra, K; Rau, A; Reiprich, T H; Robrade, J; Salvato, M; Santangelo, A; Sasaki, M; Schwope, A; Wilms, J; Consortium, The German Erosita (2012) eROSITA Science Book: Mapping the Structure of the Energetic Universe. En: arXiv [astro-ph.HE]. Disponible en: http://arxiv.org/abs/1209.3114. ; Van Rossum, Guido; Drake, Fred L (2009) Python 3 Reference Manual. Scotts Valley, CA: CreateSpace; 9781441412690; ; Harris, Charles R; Millman, K Jarrod; van der Walt, Stéfan J; ....

Clustering GMM K-means Chandra Source Catalog Chandra X-ray Observator... Clasificación
Dissertation
159

Deep Learning for Recognition of Javanese Batik Patterns
Mardani, Danis Aditya ; Pranowo, . ; Santoso, Albertus Joko

Inovation of Computation...
Buch
160

Introduction to Classes.
Langtangen, Hans Petter
Primer on Scientific Programming with Python; 2009, p337-415, 79p

Buch

Filter