Results 211 to 220 of about 552,282 (301)

Estimation of Compression Depth During CPR Using FMCW Radar with Deep Convolutional Neural Network. [PDF]

Sensors (Basel)
Choi I, Lee SGW, Kong HJ, Hong KJ, Kim Y.   +4 more
europepmc   +1 more source

On Vectorization of Deep Convolutional Neural Networks for Vision Tasks

, 2015
Jimmy Ren, Xu Li
openalex   +2 more sources

Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition

Advanced Science, EarlyView.
This review summarizes the current landscape of big data and AI‐powered modeling in animal nutrition, covering techniques including intelligent data acquisition, data augmentation, explainable machine learning, heuristic algorithms, and life cycle assessment‐based sustainability evaluation.
Shuai Zhang, Changhua Lai, Jinbiao Zhao, Junjun Wang   +3 more
wiley   +1 more source

A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation. [PDF]

J Neuroimaging
Dereskewicz E, La Rosa F, Dos Santos Silva J, Sizer E, Kohli A, Wynen M, Mullins WA, Maggi P, Levy S, Onyemeh K, Ayci B, Solomon AJ, Assländer J, Al-Louzi O, Reich DS, Sumowski J, Beck ES.   +16 more
europepmc   +1 more source

Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling

, 2015
Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao   +3 more
openalex   +2 more sources

Integration of Genetic and Imaging Data for Alzheimer's Disease Diagnosis and Interpretation

Advanced Science, EarlyView.
AlzCLIP is a novel contrastive learning framework that integrates single nucleotide polymorphism (SNP) profiles and MRI‐derived imaging features into a unified representation space to improve Alzheimer's disease (AD) diagnosis and interpretation. By achieving superior diagnostic accuracy and revealing key genetic and structural contributors to AD risk,
Yanfei Wang, Qing Wang, Minghao Zhou, Jialu Liang, Lei You, Breton Asken, Xiaobo Zhou, Qianqian Song   +7 more
wiley   +1 more source

Context-Dependent Translation Selection Using Convolutional Neural Network

, 2015
Baotian Hu, Zhaopeng Tu, Zhengdong Lu, Hang Li, Qingcai Chen   +4 more
openalex   +1 more source

The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision

Advanced Science, EarlyView.
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li, Lei Liu, Xiaoyu Li, Yuefeng Du, Zhenghe Song, Xiuheng Wu   +5 more
wiley   +1 more source

Yoga pose recognition using dual structure convolutional neural network. [PDF]

PeerJ Comput Sci
Meng X, Liu Z.
europepmc   +1 more source

Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection

, 2015
Yi Hou, Hong Zhang, Shilin Zhou
openalex   +2 more sources