Results 51 to 60 of about 156,643 (272)

Hierarchical Graph Capsule Network

Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Graph Neural Networks (GNNs) draw their strength from explicitly modeling the topological information of structured data. However, existing GNNs suffer from limited capability in capturing the hierarchical graph representation which plays an important role in graph classification.
Yang, Jinyu, Zhao, Peilin, Rong, Yu, Yan, Chaochao, Li, Chunyuan, Ma, Hehuan, Huang, Junzhou   +6 more
openaire   +2 more sources

TI-Capsule: Capsule Network for Stock Exchange Prediction

, 2021
Today, the use of social networking data has attracted a lot of academic and commercial attention in predicting the stock market. In most studies in this area, the sentiment analysis of the content of user posts on social networks is used to predict market fluctuations. Predicting stock marketing is challenging because of the variables involved. In the
Mousa, Ramin, Nazari, Sara, Abadi, Ali Karhe, Shoukhcheshm, Reza, Pirzadeh, Mohammad Niknam, Safari, Leila   +5 more
openaire   +2 more sources

An experimental performance verification of continuous mixed P‐norm based adaptive asymmetrical fuzzy logic controller for single stage photovoltaic grid integration

IET Renewable Power Generation
This paper deals with a new continuous mixed p‐norm (CMPN) based adaptive asymmetrical fuzzy logic controller (AAFLC) method for single stage grid integrated photovoltaic (PV) system as an inverter control strategy.
Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Mahajan Sagar Bhaskar, Baseem Khan   +3 more
doaj   +1 more source

The Multi-Lane Capsule Network (MLCN)

, 2019
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, Breternitz Jr, Mauricio, Rosario, Vanderson Martins do   +2 more
core   +1 more source

Kernelized Capsule Networks

, 2019
Capsule Networks attempt to represent patterns in images in a way that preserves hierarchical spatial relationships. Additionally, research has demonstrated that these techniques may be robust against adversarial perturbations. We present an improvement to training capsule networks with added robustness via non-parametric kernel methods.
Killian, Taylor, Goodwin, Justin, Brown, Olivia, Son, Sung-Hyun   +3 more
openaire   +2 more sources

Towards Efficient Capsule Networks

2022 IEEE International Conference on Image Processing (ICIP), 2022
From the moment Neural Networks dominated the scene for image processing, the computational complexity needed to solve the targeted tasks skyrocketed: against such an unsustainable trend, many strategies have been developed, ambitiously targeting performance's preservation.
Renzulli, Riccardo, Grangetto, Marco
openaire   +2 more sources

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

A Sentiment Analysis Method of Capsule Network Based on BiLSTM

IEEE Access, 2020
Nowadays, capsule network model is widely used in image processing, whose feature engineering is not suitable for sentiment analysis based on texts obviously.
Yongfeng Dong, Yu Fu, Liqin Wang, Yunliang Chen, Yao Dong, Jianxin Li   +5 more
doaj   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
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, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

Diabetic retinopathy detection and classification using capsule networks

Complex & Intelligent Systems, 2021
Nowadays, diabetic retinopathy is a prominent reason for blindness among the people who suffer from diabetes. Early and timely detection of this problem is critical for a good prognosis.
G. Kalyani, B. Janakiramaiah, A. Karuna, L. V. Narasimha Prasad   +3 more
doaj   +1 more source