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1
Biocatalysed synthesis planning using data-driven learning
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Biocatalysed synthesis planning using data-driven learning

Probst, Daniel ; Manica, Matteo ; Nana Teukam, Yves Gaetan ; Castrogiovanni, Alessandro ; Paratore, Federico ; Laino, Teodoro

Nature communications, 2022-02, Vol.13 (1), p.964-964, Article 964 [Peer Reviewed Journal]

England: Nature Publishing Group

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2
3D Computer aided treatment planning in endodontics
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3D Computer aided treatment planning in endodontics

van der Meer, Wicher J ; Vissink, Arjan ; Ng, Yuan Ling ; Gulabivala, Kishor

Journal of dentistry, 2016-02, Vol.45, p.67-72 [Peer Reviewed Journal]

England: Elsevier Ltd

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3
Dependency-aware action planning for smart home
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Dependency-aware action planning for smart home

Kim, Jongjin ; Lee, Jaeri ; Yun, Jeongin ; Kang, U Donta, Praveen Kumar

PloS one, 2024-06, Vol.19 (6), p.e0305415 [Peer Reviewed Journal]

San Francisco: Public Library of Science

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4
The Airlift Planning Problem
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The Airlift Planning Problem

Bertsimas, Dimitris ; Chang, Allison ; Misic, Velibor V ; Mundru, Nishanth

Transportation science, 2019-05, Vol.53 (3), p.773-795 [Peer Reviewed Journal]

Baltimore: INFORMS

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5
Data-to-text Generation with Macro Planning
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Data-to-text Generation with Macro Planning

Puduppully, Ratish ; Lapata, Mirella

Transactions of the Association for Computational Linguistics, 2021-01, Vol.9, p.510-527 [Peer Reviewed Journal]

One Rogers Street, Cambridge, MA 02142-1209, USA: MIT Press

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6
Deep learning in retrosynthesis planning: datasets, models and tools
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Deep learning in retrosynthesis planning: datasets, models and tools

Dong, Jingxin ; Zhao, Mingyi ; Liu, Yuansheng ; Su, Yansen ; Zeng, Xiangxiang

Briefings in bioinformatics, 2022-01, Vol.23 (1) [Peer Reviewed Journal]

England: Oxford University Press

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7
Planning and designing open government data programs: An ecosystem approach
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Planning and designing open government data programs: An ecosystem approach

Dawes, Sharon S. ; Vidiasova, Lyudmila ; Parkhimovich, Olga

Government information quarterly, 2016-01, Vol.33 (1), p.15-27 [Peer Reviewed Journal]

Elsevier Inc

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8
A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning
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A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning

Le, Le Thi ; Nguyen, Hoang ; Dou, Jie ; Zhou, Jian

Applied sciences, 2019-07, Vol.9 (13), p.2630 [Peer Reviewed Journal]

Basel: MDPI AG

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9
Large-scale cost function learning for path planning using deep inverse reinforcement learning
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Large-scale cost function learning for path planning using deep inverse reinforcement learning

Wulfmeier, Markus ; Rao, Dushyant ; Wang, Dominic Zeng ; Ondruska, Peter ; Posner, Ingmar

The International journal of robotics research, 2017-09, Vol.36 (10), p.1073-1087 [Peer Reviewed Journal]

London, England: SAGE Publications

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10
Statistical power: Implications for planning MEG studies
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Statistical power: Implications for planning MEG studies

Chaumon, Maximilien ; Puce, Aina ; George, Nathalie

NeuroImage (Orlando, Fla.), 2021-06, Vol.233, p.117894-117894, Article 117894 [Peer Reviewed Journal]

United States: Elsevier Inc

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