Results 91 to 100 of about 21,605 (294)

Multimodal Perception and Machine Learning‐Empowered Human Machine Interfaces With Double‐Network Hydrogel Fibers

Advanced Functional Materials, EarlyView.
This work develops polyacrylamide‐alginate (PAM‐Alg) double‐network hydrogel fibers for multimodal perception and intelligent human‐machine interfaces. The covalent‐ionic network provides high strength, toughness, and stable conductivity. Easily woven into wearables and integrated with soft robots, the fibers enable object and temperature recognitions ...
Yujue Yang, Minyu Qiu, Di Tan, Xinlong Liu, Junze Zhang, Ziyu He, Jing Han, Yuanyuan Gao, Zihua Li, Hong Fu, Bingang Xu   +10 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

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, Hélio Pedrini   +1 more
openaire   +2 more sources

Decellularized Extracellular Matrix (dECM) in Tendon Regeneration: A Comprehensive Review

Advanced Healthcare Materials, EarlyView.
Decellularized Extracellular Matrix (dECM) offers a promising solution by replicating the native tendon microenvironment and promoting regeneration. This review highlights advances in the decellularization methods, as well as their integration with emerging technologies and translational progress in tendon tissue engineering.
Kumaresan Sakthiabirami, Yeonwoo Park, Seong Kyeong Jo, Min Hee Kim, Jae Hwang Song   +4 more
wiley   +1 more source

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, S.A. Merkuryev, O.V. Malyshkina   +2 more
doaj   +1 more source

Packed for Ossification: High‐Density Bioprinting of hPDC Spheroids in HAMA Toward Endochondral Ossification

Advanced Healthcare Materials, EarlyView.
Human periosteum‐derived cell spheroids bioprinted at high density within a hyaluronic acid matrix promote fusion and hypertrophic cartilage formation in vitro. Early encapsulation enhances spheroid interaction and matrix maturation, generating scalable cartilage templates intended for endochondral bone regeneration.
Ane Albillos Sanchez, Maria Paula Marks, Paula Casademunt, Adrián Seijas‐Gamardo, Ioannis Papantoniou, Lorenzo Moroni, Carlos Mota   +6 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

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, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Lei Li 0005   +5 more
openaire   +2 more sources

Interpretable Multi-Channel Capsule Network for Human Motion Recognition

, 2023
Recently, capsule networks have emerged as a novel neural network architecture for human motion recognition owing to their enhanced interpretability compared to traditional deep learning networks.
Zhen Chen, Qing Fei, Peizhang Li, Xiangdong Liu   +3 more
core   +1 more source

Functional Blood‐Brain Barrier Crossing by Biomimetic M13 Phage Vectors for Targeted Neuronal Delivery

Advanced Healthcare Materials, EarlyView.
This study investigates the M13 bacteriophage as a biomimetic nanovector capable of crossing in vitro models of the blood–brain barrier. By exploiting peculiar transcellular pathways, M13 avoids lysosomal degradation and preserves its structural integrity and functionality.
Silvia Vercellino, Lucia Pappagallo, Francesca De Chirico, Luca Boselli, Hazem Ahmed, Luca Spagnoletti, Giovanni Pittaluga, Paolo Emidio Costantini, Matteo Calvaresi, Pier Paolo Pompa, Alberto Danielli, Fabio Benfenati, Valentina Castagnola   +12 more
wiley   +1 more source