Results 201 to 210 of about 52,742 (231)

Advancements and Applications of Artificial Intelligence in Hypertrophic Cardiomyopathy: A Comprehensive Review. [PDF]

Rev Cardiovasc Med
Ma H, Li J, Ta S, Yu L, Ruan F, Liu L.
europepmc   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Sensor and Sensorless Technology with Renewable Energy and Flexible Load Participation in Active Distribution Network. [PDF]

Sensors (Basel)
Li N, Yan J, Su S, Jurasz J, Chen R.
europepmc   +1 more source

Use of a Preliminary Artificial Intelligence-Based Laryngeal Cancer Screening Framework for Low-Resource Settings: Development and Validation Study. [PDF]

JMIR Form Res
Lam SWS, Lee MH, Dorosan M, Altonji S, Tan HK, Lee WT.   +5 more
europepmc   +1 more source

Enhanced twin delayed DDPG with prioritized experience replay and Noisy Nets for regional economic dispatch. [PDF]

Sci Rep
Xu C, Hayashi N, Inuiguchi M, Raymond WJK, Mokhlis H, Illias HA.   +5 more
europepmc   +1 more source

Automated segmentation of the fibula from CT imaging using two-stepped deep learning in 3D U-Net architectures. [PDF]

Sci Rep
Nascimento JS, Pankert T, Peters F, Hölzle F, Modabber A, Wien M, Raith S.   +6 more
europepmc   +1 more source

Generalized U-Net for automatic liver segmentation and R2* estimation for assessment of iron overload using MRI. [PDF]

BMC Med Imaging
Shrestha U, Abramson ZR, Kannengiesser S, Zhong X, Morin CE, Tipirneni-Sajja A.   +5 more
europepmc   +1 more source

Deep neural network inference on an integrated, reconfigurable photonic tensor processor. [PDF]

Nat Commun
Meyer L, Dijkstra J, Tebeck S, McRae L, Bahr N, Steinmeyer D, Koptyaev S, Bernasconi J, Pavlov NG, Karpov M, Jost JD, Pernice W, Brückerhoff-Plückelmann F.   +12 more
europepmc   +1 more source

Developing a segmentation cascade deep learning network based on automated prompts. [PDF]

Quant Imaging Med Surg
Yao Y, Sun S, Yan X, Men K, Yi J, Chen X.   +5 more
europepmc   +1 more source