Results 111 to 120 of about 69,407 (212)

Assessing Capsule Networks with Biased Data [PDF]

, 2019
15 pages, 4 figures, 2 tables, Capsule Networks, Evaluation, Biased ...
Bruno Ferrarini, Shoaib Ehsan, Adrien Bartoli, Ales Leonardis, Klaus D. McDonald-Maier   +4 more
openaire   +3 more sources

IR-capsule: two-stream network for face forgery detection.

, 2023
With the emergence of deep learning, generating forged images or videos has become much easier in recent years. Face forgery detection, as a way to detect forgery, is an important topic in digital media forensics.
Zhao, Huimin, Zhu, Li, Han, Weihong, Li, Shudong, Lv, Jujian, Ren, Jinchang, Lin, Kaihan, Gu, Zhaoquan   +7 more
core   +1 more source

Self‐Sintering Ionogel Binder for Flexible, Recyclable, and Healable Printed Giant Magnetoresistive Sensors

Advanced Functional Materials, EarlyView.
ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo, Xiaotao Wang, Guannan Mu, Proloy Taran Das, Igor Veremchuk, Conrad Schubert, Aaron D. Cross, Yevhen Zabila, Xuan Peng, Larysa Baraban, Denys Makarov   +10 more
wiley   +1 more source

Mapping the transcriptional regulatory network of a fungal pathogen by exploiting transcription factor perturbation

mBio
Cryptococcus neoformans is a deadly fungal pathogen. Upon entering a mammalian host, it deploys a voluminous polysaccharide capsule that is necessary for it to survive host defenses and maintain an infection.
Dhoha Abid, Holly Brown, Chase Mateusiak, Tamara L. Doering, Michael R. Brent   +4 more
doaj   +1 more source

Emergence of a new highly successful acapsular Group A Streptococcus clade of the genotype emm89 in the United Kingdom [PDF]

, 2015
This work was supported by the National Institute for Health Research Biomedical Research Centre awarded to Imperial College Healthcare Trust, and the UK Clinical Research Collaboration (National Centre for Infection Prevention & Management).Group A ...
Abbott, James, Holden, M.T., Holden, MTG, Sriskandan, S., David, Sophia, Jones, Michael D., Lamagni, T., Game, L, Sophia David, Turner, C.E., Sriskandan, S, Shiranee Sriskandan, David, S, Efstratiou, A, Michael D. Jones, Androulla Efstratiou, Efstratiou, A., David, S., Laurence Game, Game, Laurence, Matthew T. G. Holden, Turner, CE, Jones, M.D., Abbott, J., Abbott, J, Claire E. Turner, Efstratiou, Androulla, Theresa Lamagni, Lamagni, Theresa, Holden, Matthew, Jones, MD, James Abbott, Game, L., Turner, Claire E., Sriskandan, Shiranee, Lamagni, T   +35 more
core   +1 more source

Ornamental Plants Classification Using Integration of Convolution With Capsule Network

, 2023
AbstrakKlasifikasi tanaman hias bertujuan untuk mempermudah media sosial tanaman hias dalam mengategorikan citra, sehingga sistem dapat merekomendasikan konten sesuai dengan preferensi pengguna. Pengguna berpotensi merasa cepat bosan apabila konten hanya
FATONI, MOHAMMAD, ERNASTUTI, ERNASTUTI
core   +1 more source

Distracted driver detection using Capsule Network

, 2018
Convolutional neural networks are generally assumed to be the best neural networks for classifying images. In November 2017, Geoffrey Hinton et al. introduced another neural network approach known as Capsule Network.
Rawlani, Bhagyashree
core  

Networks of fibers and factors: regulation of capsule formation in Cryptococcus neoformans [version 1; referees: 5 approved]

F1000Research, 2016
The ability of the pathogenic fungus Cryptococcus neoformans to cause life-threatening meningoencephalitis in immunocompromised individuals is due in large part to elaboration of a capsule consisting of polysaccharide fibers.
Hao Ding, François L. Mayer, Eddy Sánchez-León, Glauber R. de S. Araújo, Susana Frases, James W. Kronstad   +5 more
doaj   +1 more source

Building Deep, Equivariant Capsule Networks

CoRR, 2019
Capsule networks are constrained by the parameter-expensive nature of their layers, and the general lack of provable equivariance guarantees. We present a variation of capsule networks that aims to remedy this. We identify that learning all pair-wise part-whole relationships between capsules of successive layers is inefficient. Further, we also realise
Sairaam Venkatraman, S. Balasubramanian 0001, R. Raghunatha Sarma   +2 more
openaire   +3 more sources

Decision Support Systems in Wireless-Capsule Endoscopy: Revisited

, 2007
Decision Support Systems have been utilised since 1960, providing physicians with fast and accurate means towards more accurate diagnoses, increased tolerance when handling missing or incomplete data.
Kodogiannis, V.
core