Results 161 to 170 of about 8,980,708 (398)

Science in Computational Sciences [PDF]

, 2012
The existing theory in relation to science presents the physics as an ideal, although many sciences not approach the same, so that the current philosophy of science-Theory of Science- is not much help when it comes to analyze the computer science, an ...
Jameson Cerrosen, Jia Pong
core  

Distributed Games and Strategies [PDF]

arXiv, 2016
A summary of work on distributed games and strategies done within the first three years of the ERC project ECSYM is presented.
arxiv  

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Computational social science with confidence

EPJ Data Science
There is an ongoing shift in computational social science towards validating our methodologies and improving the reliability of our findings. This is tremendously exciting in that we are moving beyond exploration, towards a fuller integration with theory
Carolina E. S. Mattsson
doaj   +1 more source

What is Computer Science? The two crises of computer science.

, 2019
What is Computer Science? The two crises ofcomputer science. A second, habilitation thesis.
openaire   +2 more sources

Stereotactic radiotherapy for metastatic brain tumors: A comparative analysis of dose distributions among VMAT, Helical TomoTherapy, CyberKnife, Gamma Knife, and ZAP‐X

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract This study evaluates various radiotherapy techniques for treating metastatic brain tumor (BT), focusing on non‐coplanar volumetric modulated arc radiotherapy (NC‐VMAT), coplanar VMAT (C‐VMAT), Helical TomoTherapy (HT), CyberKnife (CK), Gamma Knife (GK), and ZAP‐X.
Toshihiro Suzuki, Masahide Saito, Ryutaro Nomura, Hikaru Nemoto, Naoto Yanagisawa, Ryuma Sawada, Zennosuke Mochizuki, Naoki Sano, Hiroshi Onishi, Hiroshi Takahashi   +9 more
wiley   +1 more source

Computational Science in the Interconnected World: Selected papers from 2019 International Conference on Computational Science. [PDF]

J Comput Sci, 2020
Cardoso PJS, Rodrigues JMF, Monteiro J, Lam R, Krzhizhanovskaya VV, Lees MH, Dongarra J, Sloot PMA.   +7 more
europepmc   +1 more source

Computational biomolecular science [PDF]

, 1998
Peter G. Wolynes
openalex   +1 more source

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source

Agent‐based computational models and generative social science [PDF]

, 1999
Joshua M. Epstein
openalex   +1 more source