Results 31 to 40 of about 792,380 (274)

Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research

open access: yes, 2021
Machine learning, artificial intelligence, and deep learning have advanced significantly over the past decade. Nonetheless, humans possess unique abilities such as creativity, intuition, context and abstraction, analytic problem solving, and detecting unusual events.
Shanley, Lea A.   +4 more
openaire   +2 more sources

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang   +5 more
wiley   +1 more source

Role of Artificial Intelligence in Computer Science

open access: yesInternational Journal of Scientific Research in Science, Engineering and Technology, 2022
This is done by exhibiting both the prehistoric remains and the castle itself through many forms of technological support, including multimedia interactive applications and artificial intelligence functions alongside computerized simulations. a growing body of researchers from the social and computer sciences are using computational experimentation in ...
null Kunal, null Muskan Rana
openaire   +1 more source

A review of artificial intelligence in brachytherapy

open access: yesJournal 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   +4 more
wiley   +1 more source

Improving organ dose sparing in left‐sided breast cancer with yaw‐limited volumetric modulated arc therapy: A dosimetric comparison to conventional and intensity modulated radiation therapy approaches

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background To assess the dose‐sparing capabilities of a yaw‐limited volumetric modulated arc therapy (YL_VMAT) beam setup for adjacent organs at risk (OAR) in comparison with 3D‐conventional radiation therapy (3D‐CRT), intensity‐modulated radiation therapy (IMRT) and conventional VMAT for radiation therapy in left‐sided breast cancer patients.
Gerhard Pollul   +4 more
wiley   +1 more source

Intelligence in Strategic Games [PDF]

open access: yesarXiv, 2019
The article considers strategies of coalitions that are based on intelligence information about moves of some of the other agents. The main technical result is a sound and complete logical system that describes the interplay between coalition power modality with intelligence and distributed knowledge modality in games with imperfect information.
arxiv  

Embedding Privacy in Computational Social Science and Artificial Intelligence Research

open access: yesSSRN Electronic Journal
International Association for the Advancement of Artificial Intelligence (AAAI) Conference on Web and Social Media (ICWSM) Workshops (Disrupt, Ally, Resist, Embrace (DARE) Workshop ...
Jones, Keenan   +2 more
openaire   +3 more sources

Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal   +9 more
wiley   +1 more source

Intelligent Technologies in Model Base Management System Design Automation [PDF]

open access: yesarXiv, 2010
The article describes the prospects of model base management system design automation for decision support systems and suggests the toolbox scheme for design automation based on intelligent technologies.
arxiv  

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