Results 151 to 160 of about 1,612,060 (336)

Surface dose analysis and dosimetric comparison of Halcyon versus Truebeam in breast cancer radiotherapy: An OSL dosimetry study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Breast cancer is a neoplastic disease with high prevalence among women. Radiotherapy is one of the principal treatment modalities for this disease, but it poses significant challenges. This study aimed to compare and evaluate the technical and dosimetric performance of conventional C‐arm linac systems and a new design, Halcyon, in the ...
Mustafa Çağlar, Kudret Akçay, Esra Serin, Dursun Eşitmez, Mehmet Sıddık Cebe, Navid Kheradmand, Ömer Yazıcı, Dilek Ünal, Evrim Metcalfe   +8 more
wiley   +1 more source

Improving Motor Imagery-Based Brain-Computer Interface Performance Based on Sensory Stimulation Training: An Approach Focused on Poorly Performing Users [PDF]

, 2021
Sangin Park, Jihyeon Ha, Da‐Hye Kim, Laehyun Kim   +3 more
openalex   +1 more source

Effect of computer training on users in implementation for automation

, 1994
103
openaire   +2 more sources

Space shuttle main engine anomaly data and inductive knowledge based systems: Automated corporate expertise [PDF]

Progress is reported on the development of SCOTTY, an expert knowledge-based system to automate the analysis procedure following test firings of the Space Shuttle Main Engine (SSME).
Modesitt, Kenneth L.
core   +1 more source

Individual differences in anticipated emotions, desires and intentions in approaching a computer task [PDF]

, 2004
Research on user training has drawn on psychological theory to understand individual differences effects. An extension of the Model of Goal-directed Behaviour (MGB) was used to test the role of Personality variables, Computer self-efficacy and Computer ...
Harper, Jocelyn, Jayasuriya, Rohan, Peters, Peter   +2 more
core   +2 more sources

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance [PDF]

arXiv
Open-domain dialogue systems aim to generate natural and engaging conversations, providing significant practical value in real applications such as social robotics and personal assistants. The advent of large language models (LLMs) has greatly advanced this field by improving context understanding and conversational fluency. However, existing LLM-based
arxiv  

The ALICE analysis train system [PDF]

arXiv, 2015
In the ALICE experiment hundreds of users are analyzing big datasets on a Grid system. High throughput and short turn-around times are achieved by a centralized system called the LEGO trains. This system combines analysis from different users in so-called analysis trains which are then executed within the same Grid jobs thereby reducing the number of ...
arxiv  

An extension to the OVH concept for knowledge‐based dose volume histogram prediction in lung tumor volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Volumetric‐modulated arc therapy (VMAT) treatment planning allows a compromise between a sufficient coverage of the planning target volume (PTV) and a simultaneous sparing of organs‐at‐risk (OARs). Particularly in the case of lung tumors, deciding whether it is possible or worth spending more time on further improvements of a treatment
Johann Brand, Juliane Szkitsak, Oliver J. Ott, Christoph Bert, Stefan Speer   +4 more
wiley   +1 more source

Facial emotion recognition through artificial intelligence

Frontiers in Computer Science
This paper introduces a study employing artificial intelligence (AI) to utilize computer vision algorithms for detecting human emotions in video content during user interactions with diverse visual stimuli.
Jesús A. Ballesteros, Gabriel M. Ramírez V., Fernando Moreira, Andrés Solano, Carlos A. Pelaez   +4 more
doaj   +1 more source