Results 41 to 50 of about 5,268,113 (239)

A neural network for counter-terrorism [PDF]

, 2011
This article presents findings concerned with the use of neural networks in the identification of deceptive behaviour. A game designed by psychologists and criminologists was used for the generation of data used to test the appropriateness of different ...
M.B. Dixon, J. Elliott, Dixon, S. J., E. Guest, S.J. Dixon, D. J. Mullier, Elliott, J, Mullier, DJ, Dixon, M. B., Mullier, D. J., Elliott, J., Guest, E, Dixon, MB, Guest, E., Dixon, SJ   +14 more
core   +1 more source

Learning Capsules for SAR Target Recognition

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Deep learning has been successfully utilized in synthetic aperture radar (SAR) automatic target recognition tasks and obtained state-of-the-art results. However, current deep learning algorithms do not perform well when SAR images are occluded, noisy, or
Yunrui Guo, Zongxu Pan, Meiming Wang, Ji Wang, Wenjing Yang   +4 more
doaj   +1 more source

Optimal Design of Capsule Transporting Pipeline carrying Spherical Capsules [PDF]

, 2012
A capsule pipeline transports material or cargo in capsules propelled by fluid flowing through a pipeline. The cargo may either be contained in capsules (such as wheat enclosed inside sealed cylindrical containers), or may itself be the capsules (such as
Ubbi, Kuldip, Asim, Taimoor, Mishra, Rakesh   +2 more
core   +1 more source

CBIR system using Capsule Networks and 3D CNN for Alzheimer's disease diagnosis

Informatics in Medicine Unlocked, 2019
Alzheimer’s disease (AD) is an irreversible disorder of the brain related to loss of memory, commonly seen in the elderly and aging population. Implementation of revolutionary computer aided diagnosis techniques with Content Based Image Retrieval (CBIR ...
K.R. Kruthika, Rajeswari, H.D. Maheshappa   +2 more
doaj   +3 more sources

Multilevel Capsule Weighted Aggregation Network Based on a Decoupled Dynamic Filter for Remote Sensing Scene Classification

IEEE Access, 2021
The improvement of remote sensing scene classification(RSSC) by effectively extracting discriminant representations for complex and diverse scenes remains a challenging task. The capsule network(CapsNet) can encode the spatial relationship of features in
Chunyuan Wang, Yang Wu, Yihan Wang, Yiping Chen, Yan Gao   +4 more
doaj   +1 more source

Capsule Networks Showed Excellent Performance in the Classification of hERG Blockers/Nonblockers

Frontiers in Pharmacology, 2020
Capsule networks (CapsNets), a new class of deep neural network architectures proposed recently by Hinton et al., have shown a great performance in many fields, particularly in image recognition and natural language processing. However, CapsNets have not
Yiwei Wang, Yiwei Wang, Lei Huang, Lei Huang, Siwen Jiang, Yifei Wang, Jun Zou, Hongguang Fu, Shengyong Yang   +8 more
doaj   +1 more source

Capsules Based Chinese Word Segmentation for Ancient Chinese Medical Books

IEEE Access, 2018
Neural network models are popularly used in Chinese word segmentation task. The capsule architecture is proposed recently which has solved some defects of convolutional neural network. In this paper, we first introduce the capsule architecture to Chinese
Si Li, Mingzheng Li, Yajing Xu, Zuyi Bao, Lu Fu, Yan Zhu   +5 more
doaj   +1 more source

A Combination of Dilated Self-Attention Capsule Networks and Bidirectional Long- and Short-Term Memory Networks for Vibration Signal Denoising

Machines, 2022
As scalar neurons of traditional neural networks promote dimension reduction caused by pooling, it is a difficult task to extract the high-dimensional spatial features and long-term correlation of pure signals from the noisy vibration signal.
Youming Wang, Gongqing Cao, Jiali Han
doaj   +1 more source

A low-cost neural sorting network with O(1) time complexity [PDF]

, 2011
[[abstract]]In this paper, we present an O(1) time neural network with O(n1 + var epsilon) neurons and links to sort n data, var epsilon > 0. For large-size problems, it is desirable to have low-cost hardware solutions.
Lin, Shun-Shii;Hsu, Shen-Hsuan
core  

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source