Results 141 to 150 of about 794,564 (269)

Changing the learning environment to promote deep learning approaches in first-year accounting students [PDF]

, 2004
Matthew Hall, Alan Ramsay, John Raven
openalex   +1 more source

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

Zayed University Students’ Teaching and Learning Beliefs and Preferences: An analysis based on the surface versus deep learning approach [PDF]

, 2004
Alan Russell
openalex   +1 more source

Assessing HyperSight iterative CBCT for dose calculation in online adaptive radiotherapy for pelvis and breast patients compared to synthetic CT

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose/objectives Recent technological advancements have increased efficiency for clinical deliverability of online‐adaptive‐radiotherapy (oART). Previous cone‐beam‐computed‐tomography (CBCT) generations lacked the ability to provide reliable Hounsfield‐units (HU), thus requiring oART workflows to rely on synthetic‐CT (sCT) images derived ...
Jingwei Duan, Joel A. Pogue, Dennis N. Stanley, Sui Shen, Natalie N. Viscariello, Carlos E. Cardenas, Richard A. Popple, Joseph Harms   +7 more
wiley   +1 more source

Experimental-analytical and digital based investigation of 3D printed sandwich sand mold used for precast structure

Case Studies in Construction Materials
The 3D printing technique for sand mold exhibited the good response of precast concrete structure manufacturing process. The designed sandwich core structure, including solid core, diamond core, honeycomb core, pyramid core and round O core were ...
Khoa Vo Anh Pham, Hyoseo Ahn, Jiuk Shin, Gayoon Lee, Kihak Lee   +4 more
doaj  

Are Efficient Deep Representations Learnable? [PDF]

arXiv, 2018
Many theories of deep learning have shown that a deep network can require dramatically fewer resources to represent a given function compared to a shallow network. But a question remains: can these efficient representations be learned using current deep learning techniques?
arxiv  

Border Crossing: Active and Deep Learning in a Large Global Consumption Class [PDF]

, 2005
Jana M. Hawley
openalex   +1 more source

Evaluating the use of diagnostic CT with flattening filter free beams for palliative radiotherapy: Dosimetric impact of scanner calibration variability

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Palliative radiotherapy comprises a significant portion of the radiation treatment workload. Volumetric‐modulated arc therapy (VMAT) improves dose conformity and, in conjunction with flattening filter free (FFF) delivery, can decrease treatment times, both of which are desirable in a population with a high probability of retreatment ...
Madeleine L. Van de Kleut, Lesley A. Buckley, Elsayed S. M. Ali   +2 more
wiley   +1 more source

Deep Learning: A Critical Appraisal [PDF]

arXiv, 2018
Although deep learning has historical roots going back decades, neither the term "deep learning" nor the approach was popular just over five years ago, when the field was reignited by papers such as Krizhevsky, Sutskever and Hinton's now classic (2012) deep network model of Imagenet. What has the field discovered in the five subsequent years? Against a
arxiv  

Deep Learning, Critical Thinking and Teaching for Law Reform [PDF]

, 2005
Anne Macduff
openalex   +1 more source