Results 141 to 150 of about 6,190,299 (389)

Review of Large-scale computer architecture [PDF]

, 1977
E. F. Miller
openalex   +1 more source

A classical groupoid model for quantum networks

, 2019
We give a mathematical analysis of a new type of classical computer network architecture, intended as a model of a new technology that has recently been proposed in industry.
Reutter, David J., Vicary, Jamie
core   +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

Computer Architecture for Industrial Training Evaluation

Applied System Innovation
Companies have tried to innovate in their training processes to increase their productivity indicators, reduce equipment maintenance costs, and improve the work environment.
Luz E. Gutiérrez, Carlos A. Guerrero, Mark M. Betts, Daladier Jabba, Wilson Nieto, Héctor A. López-Ospina   +5 more
doaj   +1 more source

A new protection architecture for the Cambridge capability computer [PDF]

, 1978
A. J. Herbert
openalex   +1 more source

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan, Alexandra Quinn, Patrick Horsley, Joseph Chan, Maegan Stewart, Regina Bromley, Jeremy Booth   +6 more
wiley   +1 more source

A new architecture for mini-computers [PDF]

, 1970
Gordon Bell, R. Cady, H. McFarland, Bruce Delagi, J. O'Laughlin, RONALD NOONAN, W. Wulf   +6 more
openalex   +1 more source

Computer architecture and high performance computing [PDF]

Concurrency and Computation: Practice and Experience, 2021
de Camargo R. Y., Marozzo F., Martins W.
openaire   +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

InstaNAS: Instance-aware Neural Architecture Search [PDF]

arXiv, 2018
Conventional Neural Architecture Search (NAS) aims at finding a single architecture that achieves the best performance, which usually optimizes task related learning objectives such as accuracy. However, a single architecture may not be representative enough for the whole dataset with high diversity and variety.
arxiv