Results 151 to 160 of about 1,429,068 (340)

Latent orientation field estimation via convolutional neural network [PDF]

, 2015
Kai Cao, Anil K. Jain
openalex   +1 more source

Advancements in Plant Diagnostic and Sensing Technologies

Advanced Sensor Research, EarlyView.
This review explores plant diagnostic and sensing technologies, highlighting key traits, structures, and metabolites. It covers conventional methods like leaf light reflectance and fluorescence, as well as advanced optical techniques such as Fourier transform infrared spectroscopy and Raman spectroscopy. The integration of machine learning, statistical
Shalini Krishnamoorthi, Sally Shuxian Koh, Mervin Chun‐Yi Ang, Mark Ju Teng Teo, Randall Ang Jie, U. S. Dinish, Michael S. Strano, Daisuke Urano   +7 more
wiley   +1 more source

Multiscale Convolutional Neural Networks for Vision–Based Classification of Cells

, 2013
Pierre Buyssens, Abderrahim Elmoataz, Olivier Lézoray   +2 more
openalex   +2 more sources

Effect of Atomic Charges on C2H2/CO2/CH4 Separation Performances of Covalent‐Organic Framework Adsorbents

Advanced Theory and Simulations, EarlyView.
Three charge assignment approaches (one quantum chemistry method‐based, the other two machine‐learning (ML) model‐based) are employed to investigate acetylene separation performances of experimental covalent‐organic frameworks. Partial Atomic Charge Predicter for Porous Materials based on Graph Convolutional Neural Network (PACMAN) ML model‐based ...
Hakan Demir, Ilknur Erucar
wiley   +1 more source

Convolutional Neural Networks at Constrained Time Cost

, 2014
Kaiming He, Jian Sun
openalex   +2 more sources

Non‐Invasive Diagnosis of Chronic Myocardial Infarction via Composite In‐Silico‐Human Data Learning

Advanced Science, EarlyView.
This study presents a non‐invasive machine learning model to identify infarct regions in the left ventricle using cardiac strain data. By combining rodent‐based simulated data with limited human data, the model achieves high accuracy in predicting infarct size and location without the need for gadolinium contrast agents, offering a promising ...
Rana Raza Mehdi, Nikhil Kadivar, Tanmay Mukherjee, Emilio A. Mendiola, Akila Bersali, Dipan J. Shah, George Karniadakis, Reza Avazmohammadi   +7 more
wiley   +1 more source

Deep Epitomic Convolutional Neural Networks

, 2014
George Papandreou
openalex   +2 more sources

Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks [PDF]

, 2015
Daojian Zeng, Kang Liu, Yubo Chen, Jun Zhao   +3 more
openalex   +1 more source

Genetic Deconvolution of Embryonic and Maternal Cell‐Free DNA in Spent Culture Medium of Human Preimplantation Embryo Through Deep Learning

Advanced Science, EarlyView.
DECENT is a deep learning method that enhances noninvasive preimplantation genetic testing by accurately reconstructing embryonic copy number variations (CNVs) from cell‐free DNA in spent embryo culture media. By mitigating maternal contamination, DECENT improves diagnostic accuracy, even with high contamination levels, offering a reliable, noninvasive
Zhenyi Zhang, Jie Qiao, Yidong Chen, Peijie Zhou   +3 more
wiley   +1 more source

Fully Convolutional Neural Networks for Crowd Segmentation

, 2014
Kai Kang, Xiaogang Wang
openalex   +2 more sources