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 121 - 140 von 5.158

123

pyM2aia: Python interface for mass spectrometry imaging with focus on deep learning.
Cordes, Jonas ; Enzlein, Thomas ; Hopf, Carsten ; et al.
Bioinformatics. Mar2024, Vol. 40 Issue 3, p1-3. 3p.

DEEP learning MASS spectrometry PYTHON programming langu... SIGNAL processing DATA analysis
Fachzeitschrift
124

dagger: A Python Framework for Reproducible Machine Learning Experiment Orchestration
Paganini, Michela ; Forde, Jessica Zosa

Computer Science - Softw... Computer Science - Machi...
Report
125

TorchQC - A framework for efficiently integrating machine and deep learning methods in quantum dynamics and control
Koutromanos, Dimitris ; Stefanatos, Dionisis ; Paspalakis, Emmanuel
In Computer Physics Communications May 2025 310

Fachzeitschrift
126

Enhancing PowerFactory Dynamic Models with Python for Rapid Prototyping
Lopez, Claudio David ; Cvetkovic, Milos ; Palensky, Peter
2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) Industrial Electronics (ISIE), 2019 IEEE 28th International Symposium on. :93-99 Jun, 2019

Konferenz
127

Reverse molecular docking and deep-learning to make predictions of receptor activity for neurotoxicology
McCarthy, M.J. ; Chushak, Y. ; Gearhart, J.M.
In Computational Toxicology November 2022 24

Fachzeitschrift
128

Clinamen2: Functional-style evolutionary optimization in Python for atomistic structure searches
Wanzenböck, Ralf ; Buchner, Florian ; Kovács, Péter ; et al.
In Computer Physics Communications April 2024 297

Fachzeitschrift
129

Cross-platform hyperparameter optimization for machine learning interatomic potentials.
Thomas du Toit, Daniel F. ; Deringer, Volker L.
Journal of Chemical Physics. 7/14/2023, Vol. 159 Issue 2, p1-11. 11p.

MACHINE learning PHYSICAL sciences PYTHON programming langu... DATA modeling
Fachzeitschrift
131

BayesBlend: Easy Model Blending using Pseudo-Bayesian Model Averaging, Stacking and Hierarchical Stacking in Python
Haines, Nathaniel ; Goold, Conor

Statistics - Methodology Computer Science - Machi... Statistics - Machine Lea...
Report
132

A Python library for efficient computation of molecular fingerprints
Szafarczyk, Michał ; Ludynia, Piotr ; Kukla, Przemysław

Quantitative Biology - Q... Computer Science - Machi...
Report
133

Deep Learning with Python, Third Edition
Francois Chollet ; Matthew Watson ; Francois Chollet ; et al.

E-Book
134

A tutorial on solving ordinary differential equations using Python and hybrid physics-informed neural network
Nascimento, Renato G. ; Fricke, Kajetan ; Viana, Felipe A.C.
In Engineering Applications of Artificial Intelligence November 2020 96

Fachzeitschrift
135

Machine-learning-based predictive models for concrete-filled double skin tubular columns
Zarringol, Mohammadreza ; Patel, Vipulkumar Ishvarbhai ; Liang, Qing Quan ; et al.
In Engineering Structures 1 April 2024 304

Fachzeitschrift
137

A Semantic Approach for Cyber Threat Prediction Using Machine Learning
Goyal, Yojana ; Sharma, Anand
2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Computing Methodologies and Communication (ICCMC), 2019 3rd International Conference on. :435-438 Mar, 2019

Konferenz
138

USE OF MACHINE LEARNING TOOLS AND PYTHON LIBRARIES FOR PREDICTION THROUGH REGRESSIONS ; ВИКОРИСТАННЯ ЗАСОБІВ MACHINE LEARNING І БІБЛІОТЕК PYTHON ДЛЯ ПРОГНОЗУВАННЯ ІЗ ЗАСТОСУВАННЯМ РЕГРЕСІЙ
Теличко, Ганна Олександрівна ; Байтельман, Яків Леонідович ; Жуковська, Дар’я Олександрівна
Scientific Papers of Donetsk National Technical University. Series: “Computer Engineering and Automation"; Vol1, N1(33)'2023; 4-11 ; Наукові праці Донецького національного технічного університету. Серія: «Обчислювальна техніка та автоматизація»; Т1, N1(33)'2023; 4-11 ; 2786-9024 ; 2075-4272

machine learning regression prediction polynomial regression random forest python
Fachzeitschrift
139

LSI with Support Vector Machine for Text Categorization – a practical example with Python
Gomes Da Costa Cavalcanti, Joao Henrique ; Menyhárt, József
International Journal of Engineering and Management Sciences; Vol. 6 No. 3 (2021); 18-29 ; International Journal of Engineering and Management Sciences; Évf. 6 szám 3 (2021); 18-29 ; 2498-700X

Machine learning Support Vector Machine Text Categorization
Fachzeitschrift
140

A deep learning approach: Physics-informed neural networks for solving the 2D nonlinear Sine–Gordon equation
Deresse, Alemayehu Tamirie ; Dufera, Tamirat Temesgen
In Results in Applied Mathematics February 2025 25

Fachzeitschrift

Filter