Treffer 141 - 160 von 1.597

141

FOUNDATIONS OF DATA SCIENCE
Dr Senthilkumar S ; Mrs.M.Ambika ; Dr. R.ArunPrakash ; et al.

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142

基于松散耦合方法的弃土场边坡三维建模及稳定性分析: 以福州市闽清县白樟池埔建筑弃土场为例. (Chinese)
赖滨泓 ; 王浩 ; 豆红强
Science Technology & Engineering; 2024, Vol. 24 Issue 3, p1184-1191, 8p

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143

POS0124 FAST AND ACCURATE DETECTION OF SACROILIITIS: THE ROLE OF THE MACHINE LEARNING METHOD YOLOv7 IN IDENTIFYING BONE MARROW EDEMA
Tekeoglu, S. ; Gocoglu, A.
In Annals of the Rheumatic Diseases June 2025 84 Supplement 1:417-418

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144

Carto-Lab Docker: An RDM Infrastructure for Transparent, Open, and Reproducible Spatial Data Science: Integrating Environment Management, Collaboration, and Publication Workflows
Dunkel, Alexander ; Burghardt, Dirk ; Löchner, Marc ; et al.

JupyterLab Docker Open Science Spatial Data Science Reproducibility of Resul... RDM Infrastructure
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145

МОДЕЛЬ РОЗПОДІЛУ ОБЧИСЛЮВАЛЬНИХ ЗАДАЧ У ХМАРНІЙ ІНФРАСТРУКТУРІ З УРАХУВАННЯМ ПРОДУКТИВНОСТІ, ВАРТОСТІ ТА БЕЗПЕКИ. (Ukrainian)
Андріївна, Цирканюк Діана
Cybersecurity: Education, Science, Technique / Kiberbezpeka: Osvita, Nauka, Tekhnika; 2025, Vol. 28 Issue 4, p619-632, 14p

COMPUTER security vulner... GAME theory COMMUNICATION infrastruc... MULTI-objective optimiza... RESOURCE allocation
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146

Protocol to explain support vector machine predictions via exact Shapley value computation
Mastropietro, Andrea ; Bajorath, Jürgen
In STAR Protocols 21 June 2024 5(2)

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148

Chapter 4 - Prediction in intricate artificial psychology
Kovač, Nataša ; Farahani, Hojjatollah ; Simeunović, Marko ; et al.
In Introduction to Intricate Artificial Psychology with Python 2026:49-81

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149

Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit
Jacob Neumann ; Yen Ting Lin ; Abhishek Mallela ; et al.
Bioinformatics. 38:1770-1772

FOS: Biological sciences Humans COVID-19 Bayes Theorem Quantitative Biology - Q... Monte Carlo Method
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150
151

PDKit: A data science toolkit for the digital assessment of Parkinson’s Disease
Cosmin Stamate ; Joan Saez Pons ; David Weston ; et al.
PLoS Comput Biol
PLoS Computational Biology, Vol 17, Iss 3, p e1008833 (2021)

0301 basic medicine csis QH301-705.5 Data Science Parkinson Disease Mobile Applications
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152

Exploring the Intersection of Data Science and Machine Learning: A Comprehensive Review
Yogesh Madhukar Jadhav
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT.

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153

Improved Learning-Automata-Based Clustering Method for Controlled Placement Problem in SDN.
Amin, Azam ; Jahanshahi, Mohsen ; Meybodi, Mohammad Reza
Applied Sciences (2076-3417); Sep2023, Vol. 13 Issue 18, p10073, 16p

SOFTWARE-defined network... K-means clustering MACHINE learning PYTHON programming langu... SECURE Sockets Layer (Co... ALGORITHMS
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154

Is Multitask Deep Learning Practical for Pharma?
Ramsundar, Bharath ; Liu, Bowen ; Wu, Zhenqin ; et al.
Journal of Chemical Information and Modeling. 57(8):2068-2076

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155

Bi-alignments with affine gaps costs
Peter F. Stadler ; Sebastian Will ; Algorithms and Models for Integrative BIOlogy (AMIBIO) ; et al.
Algorithms Mol Biol
Algorithms for Molecular Biology, Vol 17, Iss 1, Pp 1-13 (2022)

Artificial intelligence AMINO-ACID-SEQUENCE 02 engineering and techn... QH426-470 Pairwise comparison Biochemistry
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156

Exploring the nexus of RFID and industry 4.0: Bibliometric analysis to investigate the strategic themes and thematic evolution
Evandro Segundo Soares Pereira ; Robert Eduardo Cooper Ordóñez ; Ghassan Beydoun ; et al.
Journal of Industrial Engineering and Management, Vol 17, Iss 1, Pp 1-34 (2024)

Artificial intelligence HF5001-6182 Industrial engineering.... Knowledge management FOS: Political science Social Sciences
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157

Introduction to Data Science
Varga, Ervin
Practical Data Science with Python 3 ; page 1-27 ; ISBN 9781484248584 9781484248591

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158

Blood Count Scattergrams Are Fingerprints of Blood: Using AI to Inform Health Status
Haider, Zeeshan ; Mughal, Jaweria ; Ahmed, Neha ; et al.
In Blood 28 November 2023 142 Supplement 1:5034-5034

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159

An introductory guide for conducting psychological research with big data.
Vezzoli, Michela ; Zogmaister, Cristina
Psychol Methods

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