Search Results - (((( code python using algorithm ) OR ( a neural a algorithm ))) OR ( 2 general coding algorithm )) :: K.UTB vyhledávací portál

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Machine Learning Guide for Oil and Gas Using Python - A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications

by Belyadi, Hoss, Haghighat, Alireza
Year of Publication 2021

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XDream: Finding preferred stimuli for visual neurons using generative networks and gradient-free optimization

by Xiao, Will, Kreiman, Gabriel
Published in PLoS computational biology (15.06.2020)

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Deep neural network for system of ordinary differential equations: Vectorized algorithm and simulation

by Dufera, Tamirat Temesgen
Published in Machine learning with applications (15.09.2021)

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Maximizing Profit Prediction: Forecasting Future Trends with LSTM Algorithm and compared with Loss function and Mean error code using Python

by Selvaraj, Sindhu, Vijayalakshmi, N, S. Sanjay Kumar, Kumar, G Deepan
Published in Ushus - Journal of Business Management (28.12.2023)

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BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python

by Hazan, Hananel, Saunders, Daniel J., Khan, Hassaan, Patel, Devdhar, Sanghavi, Darpan T., Siegelmann, Hava T., Kozma, Robert
Published in Frontiers in neuroinformatics (12.12.2018)

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TensorFlow Reinforcement Learning Quick Start Guide: Get up and Running with Training and Deploying Intelligent, Self-Learning Agents Using Python

by Balakrishnan, Kaushik
Year of Publication 2019

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Machine Learning with Spark™ and Python® - Essential Techniques for Predictive Analytics (2nd Edition)

by Bowles, Michael
Year of Publication 2020

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A convolutional neural network approach to calibrating the rotation axis for X‐ray computed tomography

by Yang, Xiaogang, De Carlo, Francesco, Phatak, Charudatta, Gürsoy, Dogˇa
Published in Journal of synchrotron radiation (01.03.2017)

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Efficient simulation of neural development using shared memory parallelization

by De Schutter, Erik
Published in Frontiers in neuroinformatics (20.07.2023)

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Metaheuristic Optimization of Powder Size Distribution in Powder Forming Process Using Multi-Particle Finite Element Method Coupled with Artificial Neural Network and Genetic Algorithm

by Kim, Hwi-Jun, Kim, Ji Hoon, Choi, Hyunjoo, Cha, Pil-Ryung, Kahhal, Parviz, Ghorbani-Menghari, Hossein
Published in MATERIALS TRANSACTIONS (01.11.2023)

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Development of Software Tools to Improve the Work of the Code Completion Mechanism Using Machine Learning Algorithms in an Integrated Development Environment for Python

Published in Vestnik NSU Series Information Technologies

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Alignment-free classification of COI DNA barcode data with the Python package Alfie

by Nugent, Cameron M., Adamowicz, Sarah J.
Published in Metabarcoding and Metagenomics (10.09.2020)

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eWB: Event-Based Weight Binarization Algorithm for Spiking Neural Networks

by Kim, Dohun, Kim, Guhyun, Hwang, Cheol Seong, Jeong, Doo Seok
Published in IEEE access (2021)

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An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks

by Xie, Xiurui, Qu, Hong, Liu, Guisong, Zhang, Malu, Kurths, Jürgen
Published in PloS one (04.04.2016)

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Algebraic graph algorithms : a practical guide using Python

by Erciyes, K.
Year of Publication 2021

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Efficacy of deep convolutional neural network algorithm for the identification and classification of dental implant systems, using panoramic and periapical radiographs: A pilot study

by Lee, Jae-Hong, Jeong, Seong-Nyum
Published in Medicine (Baltimore) (26.06.2020)

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ChatGPT Code Detection: Techniques for Uncovering the Source of Code

by Oedingen, Marc, Engelhardt, Raphael C., Denz, Robin, Hammer, Maximilian, Konen, Wolfgang
Published in AI (Basel) (01.09.2024)

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PHOTONAI—A Python API for rapid machine learning model development

by Leenings, Ramona, Winter, Nils Ralf, Plagwitz, Lucas, Holstein, Vincent, Ernsting, Jan, Sarink, Kelvin, Fisch, Lukas, Steenweg, Jakob, Kleine-Vennekate, Leon, Gebker, Julian, Emden, Daniel, Grotegerd, Dominik, Opel, Nils, Risse, Benjamin, Jiang, Xiaoyi, Dannlowski, Udo, Hahn, Tim
Published in PloS one (21.07.2021)

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smash v1.0: a differentiable and regionalizable high-resolution hydrological modeling and data assimilation framework

by Colleoni, François, Huynh, Ngo Nghi Truyen, Garambois, Pierre-André, Jay-Allemand, Maxime, Organde, Didier, Renard, Benjamin, De Fournas, Thomas, El Baz, Apolline, Demargne, Julie, Javelle, Pierre
Published in Geoscientific Model Development (10.10.2025)

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Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm

by Ha, Richard, Mutasa, Simukayi, Karcich, Jenika, Gupta, Nishant, Pascual Van Sant, Eduardo, Nemer, John, Sun, Mary, Chang, Peter, Liu, Michael Z., Jambawalikar, Sachin
Published in Journal of digital imaging (01.04.2019)

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