Progress in Determination of Protein Spatial Structure Based on Machine Learning
Saved in:
| Date: | 2021 |
|---|---|
| Main Author: | B. O. Biletskyi |
| Format: | Article |
| Language: | English |
| Published: |
2021
|
| Series: | Cybernetics and Computer Technologies |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0001244367 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Library portal of National Academy of Sciences of Ukraine | LibNAS |
Institution
Library portal of National Academy of Sciences of Ukraine | LibNASSimilar Items
Horizontal and vertical scalability of machine learning methods
by: B. O. Biletskyi
Published: (2019)
by: B. O. Biletskyi
Published: (2019)
Face recognition based on machine learning algorithms
by: N. B. Shakhovska, et al.
Published: (2017)
by: N. B. Shakhovska, et al.
Published: (2017)
Extracting structure from text documents based on machine learning
by: Kudim, K.A., et al.
Published: (2023)
by: Kudim, K.A., et al.
Published: (2023)
Logical Puzzles Solving Based on Machine Learning
by: S. I. Shapovalova, et al.
Published: (2019)
by: S. I. Shapovalova, et al.
Published: (2019)
Analysis of fundus images based on machine learning
by: O. V. Karas, et al.
Published: (2024)
by: O. V. Karas, et al.
Published: (2024)
Distributed Bayesian machine learning procedures
by: B. A. Beletskij
Published: (2019)
by: B. A. Beletskij
Published: (2019)
Machine learning methods for environmental monitoring
by: P. V. Mikava, et al.
Published: (2024)
by: P. V. Mikava, et al.
Published: (2024)
Horizontal and Vertical Scalability of Machine Learning Methods
by: Biletskyy, B.O.
Published: (2019)
by: Biletskyy, B.O.
Published: (2019)
Using machine learning methods in practice
by: Ya. O. Tupalo
Published: (2018)
by: Ya. O. Tupalo
Published: (2018)
Application of machine learning in software engineering: an overview
by: O. G. Moroz, et al.
Published: (2019)
by: O. G. Moroz, et al.
Published: (2019)
Application of machine learning in software engineering: an overview
by: Moroz, O.H., et al.
Published: (2019)
by: Moroz, O.H., et al.
Published: (2019)
ALMA: Machine learning breastfeeding chatbot
by: K. Achtaich, et al.
Published: (2023)
by: K. Achtaich, et al.
Published: (2023)
Who is a subject in machine learning?
by: V. M. Loktiev
Published: (2024)
by: V. M. Loktiev
Published: (2024)
Minimax deviation strategies for machine learning and recognition with short learning samples
by: M. I. Schlesinger, et al.
Published: (2022)
by: M. I. Schlesinger, et al.
Published: (2022)
IMPLEMENTING OF MICROSOFT AZURE MACHINE LEARNING TECHNOLOGY FOR ELECTRIC MACHINES OPTIMIZATION
by: Pliugin, V. E., et al.
Published: (2019)
by: Pliugin, V. E., et al.
Published: (2019)
The image oversampling using means of machine learning
by: R. O. Tkachenko, et al.
Published: (2016)
by: R. O. Tkachenko, et al.
Published: (2016)
The Principles of Application of Machine Learning in Classification of Network Traffic
by: Ya. M. Antonyuk, et al.
Published: (2018)
by: Ya. M. Antonyuk, et al.
Published: (2018)
Metalearning as One of the Task of the Machine Learning Problems
by: Savchenko, Ye.A., et al.
Published: (2019)
by: Savchenko, Ye.A., et al.
Published: (2019)
Metalearning as One of the Task of the Machine Learning Problems
by: Ye. A. Savchenko, et al.
Published: (2019)
by: Ye. A. Savchenko, et al.
Published: (2019)
Machine Learning algorithms in Big Data context
by: V. M. Tereshchenko, et al.
Published: (2018)
by: V. M. Tereshchenko, et al.
Published: (2018)
Effect of inhibitors serine/threonine protein kinases and protein phosphatases on mitosis progression of synchronized tobacco BY-2 cells
by: Ja. A. Sheremet, et al.
Published: (2012)
by: Ja. A. Sheremet, et al.
Published: (2012)
Machine learning in lung lesion detection caused by certain diseases
by: D. Khoroshchuk, et al.
Published: (2023)
by: D. Khoroshchuk, et al.
Published: (2023)
Machine-learning methods for text named entity recognition
by: O. O. Marchenko
Published: (2016)
by: O. O. Marchenko
Published: (2016)
Machine-learning methods for text named entity recognition
by: Marchenko, O.O.
Published: (2018)
by: Marchenko, O.O.
Published: (2018)
About One Machine Learning Method For Paraphrase Identification
by: O. O. Marchenko, et al.
Published: (2016)
by: O. O. Marchenko, et al.
Published: (2016)
Machine learning methods analysis in the document classification problem
by: A. P. Zhyrkova, et al.
Published: (2020)
by: A. P. Zhyrkova, et al.
Published: (2020)
Machine learning methods analysis in the document classification problem
by: Zhyrkova, A.P., et al.
Published: (2021)
by: Zhyrkova, A.P., et al.
Published: (2021)
Epithelial-mesenchymal transition in melanoma progression: the contribution of adaptor protein RUK/CIN85
by: B. V. Zhuravel, et al.
Published: (2022)
by: B. V. Zhuravel, et al.
Published: (2022)
Using Machine Learning Methods to Estimate the Cost of Housing
by: V. V. Tretynyk, et al.
Published: (2021)
by: V. V. Tretynyk, et al.
Published: (2021)
Diabetes prediction using an improved machine learning approach
by: S. Lyaqini, et al.
Published: (2021)
by: S. Lyaqini, et al.
Published: (2021)
English Accent Recognition Using Deep Machine Learning
by: A. V. Manokhin, et al.
Published: (2021)
by: A. V. Manokhin, et al.
Published: (2021)
Application of machine learning to improving numerical weather prediction
by: Yu. Doroshenko, et al.
Published: (2020)
by: Yu. Doroshenko, et al.
Published: (2020)
Some Frameworks for Big Data Analytics and Machine Learning
by: A. A. Ursatev
Published: (2016)
by: A. A. Ursatev
Published: (2016)
The Use of Machine Learning for the Purpose of Combating Bank Fraud
by: I. Caprian
Published: (2023)
by: I. Caprian
Published: (2023)
Application of machine learning to improving numerical weather prediction
by: Doroshenko, А.Yu., et al.
Published: (2020)
by: Doroshenko, А.Yu., et al.
Published: (2020)
Research of software solutions for forecasting electricity generation and consumption in Ukraine that are based on machine learning methods
by: Sinitsyn, I.P., et al.
Published: (2023)
by: Sinitsyn, I.P., et al.
Published: (2023)
Developing a semantic image model using machine learning based on convolutional neural networks
by: P. I. Andon, et al.
Published: (2020)
by: P. I. Andon, et al.
Published: (2020)
Developing a semantic image model using machine learning based on convolutional neural networks
by: Andon, P.I., et al.
Published: (2020)
by: Andon, P.I., et al.
Published: (2020)
Aplication of deep learning technology for creating intellectual autonomous machines
by: O. S. Bilokon
Published: (2020)
by: O. S. Bilokon
Published: (2020)
Application of deep learning technology for creating intellectual autonomous machines
by: Bilokon, O.S.
Published: (2020)
by: Bilokon, O.S.
Published: (2020)
Similar Items
-
Horizontal and vertical scalability of machine learning methods
by: B. O. Biletskyi
Published: (2019) -
Face recognition based on machine learning algorithms
by: N. B. Shakhovska, et al.
Published: (2017) -
Extracting structure from text documents based on machine learning
by: Kudim, K.A., et al.
Published: (2023) -
Logical Puzzles Solving Based on Machine Learning
by: S. I. Shapovalova, et al.
Published: (2019) -
Analysis of fundus images based on machine learning
by: O. V. Karas, et al.
Published: (2024)