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241

Pretrained Neural Networks in HSC Chemistry Sim
Mansikka-aho, Jarkko

fi=Automaatiotekniikka|s... machine learning simulation neural networks (informa... artificial intelligence programming …
Dissertation
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242

Kymatio: Scattering Transforms in Python.
Andreux, Mathieu ; Angles, Tomás ; Exarchakis, Georgios ; et al.
Journal of Machine Learning Research. 2020, Vol. 21 Issue 48-77, p1-6. 6p.

COMPUTER software WAVELET transforms DEEP learning SIGNAL processing MACHINE learning PYTHON programming langu...
Fachzeitschrift
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243

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python
Lu, Haiping ; Liu, Xianyuan ; Turner, Robert ; et al.

E-Ressource
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246

Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality
Li, Hao ; Rajbahadur, Gopi Krishnan ; Bezemer, Cor-Paul ; et al.
ACM Transactions on Software Engineering and Methodology ; volume 34, issue 1, page 1-31 ; ISSN 1049-331X 1557-7392

Fachzeitschrift
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247

AI Crash Course
Ponteves, Hadelin De ; Ponteves, Hadelin De ; Ponteves, Hadelin De ; et al.

E-Ressource
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248

DeepFlame 2.0: A new version for fully GPU-native machine learning accelerated reacting flow simulations under low-Mach conditions.
Mao, Runze ; Dong, Xinyu ; Bai, Xuan ; et al.
Computer Physics Communications. Jul2025, Vol. 312, pN.PAG-N.PAG. 1p.

LARGE eddy simulation mo... FINITE volume method COMPUTATIONAL fluid dyna... C++ HIGH performance computi... GRAPHICS processing unit...
Zeitschrift
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249

Utilizing deep learning on embedded devices
Oranen, Leevi ; Lääketieteen ja terveysteknologian tiedekunta - Faculty of Medicine and Health Technology ; Tampere University

Biotekniikan DI-ohjelma... machine learning TPU tietokoneet Linux Raspberry Pi …
Dissertation
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250

Automatinis pastatų kontūrų segmentavimas palydoviniuose ir aeronuotraukų vaizduose / ; Automatic building contour segmentation in satellite and aerial imagery.
Buinauskas, Laurynas ; Butkevičiūtė, Eglė

deep learning image segmentation building contours satellite images aerial images
Dissertation
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251

Flexible Extensions to Structural Equation Models Using Computation Graphs.
van Kesteren, Erik–Jan ; Oberski, Daniel L.
Structural Equation Modeling. Mar/Apr2022, Vol. 29 Issue 2, p233-247. 15p.

STRUCTURAL equation mode... COMPUTER software develo... LEARNING communities MATHEMATICAL optimizatio... MACHINE learning
Fachzeitschrift
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252

Constrained Training of Neural Networks via Theorem Proving
Chevallier, Mark ; Whyte, Matthew ; Fleuriot, Jacques D. ; et al.

E-Ressource
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253

An Interpretable Machine Learning Framework for Modeling High-Resolution Spectroscopic Data
Gully-Santiago, Michael A. ; Morley, Caroline V. ; Gully-Santiago, Michael A. ; et al.

E-Ressource
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254

Semantic-based neural network repair for AI models in dynamic environments
Xiaoyu Chen
Applied and Computational Engineering. 76:234-239

Fachzeitschrift
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255

Framework para agilizar la aplicación de técnicas basadas en Deep Learning
Afonso Dorta, David ; Arnay del Arco, Rafael ; Castilla Rodríguez, Iván ; et al.

Deep learning Keras Framework
Dissertation
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256

Enabling automation with deep learning at optical X-ray inspection station succeeding various soldering processes in electronic control units manufacturing
Toparcean, Dorian-Mihai ; Sihn, Wilfried ; TU Wien, Österreich

deep learning in manufac... neural networks convolutional neural
Dissertation
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257

Deep learning for genomics using Janggu
Wolfgang Kopp ; Remo Monti ; Annalaura Tamburrini ; et al.
Nature, Nature Communications. 11(1):1-7

Fachzeitschrift
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259

Performance Analysis of Distributed and Scalable Deep Learning
Mahon, S. ; VARRETTE, Sébastien ; PLUGARU, Valentin ; et al.
urn:isbn:978-1-7281-6095-5 ; 20th IEEE/ACM Intl. Symp. on Cluster, Cloud and Internet Computing (CCGrid'20), 760--766 (2020-05); 20th IEEE/ACM Intl. Symp. on Cluster, Cloud and Internet Computing (CCGrid'20), Melbourne, Australia [AU], May 11-14, 2020

Deep Learning Performance Evaluation GPU Engineering computing & technology Computer science …
Konferenz
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260

Combining high-performance hardware, cloud computing, and deep learning frameworks to accelerate physical simulations: probing the Hopfield network.
Vaibhav S Vavilala
European Journal of Physics; May2020, Vol. 41 Issue 3, p1-1, 1p

HOPFIELD networks CLOUD computing COMPUTER science GRAPHICS processing unit... CYBER physical systems ARTIFICIAL intelligence …
Fachzeitschrift
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