Results 71 to 80 of about 51,131 (269)
PORE PERCENTAGE ESTIMATION OF PIEZOELECTRIC CERAMICS USING CCANN AND IMAGE MADE WITH SEM
Физико-химические аспекты изучения кластеров, наноструктур и наноматериалов, 2021 The authors synthesized samples of piezoelectric potassium sodium niobate ceramics of 10,25 and 40 pore percentage by volume. Capsule convolutional artificial neural network has been developed for estimation of the pore percentage in images.
D.V. Mamaev +2 more
doaj +1 more source
Single Image Super-Resolution Based on Capsule Neural Networks
CoRR, 2022 Single image super-resolution (SISR) is the process of obtaining one high-resolution version of a low-resolution image by increasing the number of pixels per unit area. This method has been actively investigated by the research community, due to the wide variety of real-world problems where it can be applied, from aerial and satellite imaging to ...
George Corrêa de Araújo +1 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Micro‐injection laser‐assisted bioprinting enables ultrafast and precise patterning of small endothelial cell spheroids by injecting a highly concentrated single‐cell suspension into GelMA/ColMA hydrogels. In co‐culture with fibroblasts, controlled pre‐vasculogenic network formation is obtained at microscale resolution.
Charles Handschin +9 more
wiley +1 more source
Research of Obfuscated Malware with a Capsule Neural Network
Mathematical Problems of Computer Science, 2022 The paper presents the results of a research of using transfer training of the capsule neural network to detect malware. The research was carried out on the basis of the source code of malware using the context-triggered piecewise hashing method. The source codes of malware were obtained from public sources of software.
openaire +1 more source
Nanothermometry in Living Cells: Physical Limits, Conceptual and Material Challenges
Advanced Functional Materials, EarlyView.Heat and temperature are fundamental to life. When nanothermometers began probing regions as small as a living cell, they triggered controversial claims of large intracellular temperature gradients. We review physical constraints energy‐conservation, entropy production, thermodynamic fluctuations, and molecular dynamics.
Taras Plakhotnik
wiley +1 more source
Emotional Speaker Verification Using Novel Modified Capsule Neural Network
Mathematics, 2023 Capsule Neural Network (CapsNet) models are regarded as efficient substitutes for convolutional neural networks (CNN) due to their powerful hierarchical representation capability.
Ali Bou Nassif +4 more
doaj +1 more source
Towards Linear Time Neural Machine Translation with Capsule Networks [PDF]
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019 Accepted as ...
Mingxuan Wang +5 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 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 +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.We present ultrathin flexible transparent electrodes through iCVD‐enabled molecular control of 10 nm gold films on poly(dimethylaminomethylstyrene). In vivo validation demonstrated photoelectric artifact reduction vs. opaque electrodes and preservation of natural neural dynamics.
Tae Jin Mun +11 more
wiley +1 more source