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Advances in machine intelligence‐driven virtual screening approaches for big‐data
Advances in machine intelligence‐driven virtual screening approaches for big‐data
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Article 		Add to e-Shelf

Advances in machine intelligence‐driven virtual screening approaches for big‐data

Kumar, Neeraj ; Acharya, Vishal

Medicinal research reviews, 2024-05, Vol.44 (3), p.939-974 [Peer Reviewed Journal]

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2
The Impact of Artificial Intelligence on the Socio-economic Development of Society in Modern Conditions
The Impact of Artificial Intelligence on the Socio-economic Development of Society in Modern Conditions
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The Impact of Artificial Intelligence on the Socio-economic Development of Society in Modern Conditions

Shakirova, Olga G ; Bashkov, Oleg V ; Khusainov, Akhmet A

Current Problems and Ways of Industry Development: Equipment and Technologies, 2021, Vol.200, p.406-414

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3
Datafied Empiricism Versus Normative Publicness: A Philosophical Grounding for Assessing the Influence of New Technologies on the Digital Public Sphere
Datafied Empiricism Versus Normative Publicness: A Philosophical Grounding for Assessing the Influence of New Technologies on the Digital Public Sphere
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Datafied Empiricism Versus Normative Publicness: A Philosophical Grounding for Assessing the Influence of New Technologies on the Digital Public Sphere

Kaluža, Jernej

Javnost (Ljubljana, Slovenia), 2024-01, Vol.31 (1), p.106-122 [Peer Reviewed Journal]

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A mass-market appraisal of the English housing rental market using a diverse range of modelling techniques
A mass-market appraisal of the English housing rental market using a diverse range of modelling techniques
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A mass-market appraisal of the English housing rental market using a diverse range of modelling techniques

Clark, Stephen D. ; Lomax, Nik

Journal of big data, 2018-11, Vol.5 (1), p.43-21, Article 43 [Peer Reviewed Journal]

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5
Application of Quantum k-NN and Grover’s Algorithms for Recommendation Big-Data System
Application of Quantum k-NN and Grover’s Algorithms for Recommendation Big-Data System
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Application of Quantum k-NN and Grover’s Algorithms for Recommendation Big-Data System

Sawerwain, Marek ; Wróblewski, Marek

Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018, p.235-244

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6
Informed sub-sampling MCMC: approximate Bayesian inference for large datasets
Informed sub-sampling MCMC: approximate Bayesian inference for large datasets
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Informed sub-sampling MCMC: approximate Bayesian inference for large datasets

Maire, Florian ; Friel, Nial ; Alquier, Pierre

Statistics and computing, 2019-05, Vol.29 (3), p.449-482 [Peer Reviewed Journal]

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The Context of Digital Entrepreneurship. New Technologies Between Evolution and Revolution
The Context of Digital Entrepreneurship. New Technologies Between Evolution and Revolution
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The Context of Digital Entrepreneurship. New Technologies Between Evolution and Revolution

Christine, Volkmann ; Ileana, Gavrilescu

Digitalization and Big Data for Resilience and Economic Intelligence, 2022, p.109-120

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8
Enabling Real-Time and Big Data-Driven Analysis to Detect Innovation City Patterns and Emerging Innovation Ecosystems at the Local Level
Enabling Real-Time and Big Data-Driven Analysis to Detect Innovation City Patterns and Emerging Innovation Ecosystems at the Local Level
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Enabling Real-Time and Big Data-Driven Analysis to Detect Innovation City Patterns and Emerging Innovation Ecosystems at the Local Level

Oikonomaki, Eleni

Distributed, Ambient and Pervasive Interactions. Smart Environments, Ecosystems, and Cities, p.404-418 [Peer Reviewed Journal]

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9
Approximate Similarity Search with FAISS Framework Using FPGAs on the Cloud
Approximate Similarity Search with FAISS Framework Using FPGAs on the Cloud
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Conference Proceeding 		Add to e-Shelf

Approximate Similarity Search with FAISS Framework Using FPGAs on the Cloud

Danopoulos, Dimitrios ; Kachris, Christoforos ; Soudris, Dimitrios

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.373-386 [Peer Reviewed Journal]

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10
CHIPS – A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud
CHIPS – A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud
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Book Chapter 		Add to e-Shelf

CHIPS – A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud

Pienaar, Rudolph ; Turk, Ata ; Bernal-Rusiel, Jorge ; Rannou, Nicolas ; Haehn, Daniel ; Grant, P. Ellen ; Krieger, Orran

Data Management and Analytics for Medicine and Healthcare, p.29-35 [Peer Reviewed Journal]

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