Results 51 to 60 of about 51,131 (269)
Capsules Based Chinese Word Segmentation for Ancient Chinese Medical Books
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 +5 more
doaj +1 more source
The Multi-Lane Capsule Network (MLCN)
We introduce Multi-Lane Capsule Networks (MLCN), which are a separable and resource efficient organization of Capsule Networks (CapsNet) that allows parallel processing, while achieving high accuracy at reduced cost.
Borin, Edson +2 more
core +1 more source
Potential therapeutic targeting of BKCa channels in glioblastoma treatment
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
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
Multi-labeled Relation Extraction with Attentive Capsule Network
To disclose overlapped multiple relations from a sentence still keeps challenging. Most current works in terms of neural models inconveniently assuming that each sentence is explicitly mapped to a relation label, cannot handle multiple relations properly
Jia, Weijia +3 more
core +1 more source
Emotion Recognition with Capsule Neural Network [PDF]
Van Loan Trinh +2 more
openaire +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
DE-CapsNet: A Diverse Enhanced Capsule Network with Disperse Dynamic Routing
Capsule Network (CapsNet) is a methodology with good prospects in visual tasks, since it can keep a stronger relationship of spatial information than Convolutional Neural Networks (CNNs). However, the current Capsule Network do not provide performance as
Bohan Jia, Qiyu Huang
doaj +1 more source
Using the intelligent image recognition method to recognize the reading of the unintelligent manual reading meter is an important approach to expand the sensing means and reduce the cost of transformation of the Industrial Internet of Things. Traditional
Dazhou Li, Jingfei Hou, Wei Gao
doaj +1 more source
Indoor Home Scene Recognition Using Capsule Neural Networks [PDF]
This paper presents the use of a class of Deep Neural Networks for recognizing indoor home scenes so as to aid Intelligent Assistive Systems (IAS) in performing indoor services to assist elderly or infirm people. Identifying exact indoor location is important so that objects associated with particular tasks can be located speedily and efficiently ...
Basu, Amlan +3 more
openaire +1 more source

