Results 101 to 110 of about 21,605 (294)
In this study, Classification of Oral Lesions Image as Early Prevention of Oral Cancer Using the Capsule Neural Network Method was carried out. The initial step that must be done is to analyze the data that will be used for classification, then analyze
M, Syarfan Hasriansyah
core +1 more source
Offline Signature Identification and Verification Based on Capsule Representations
Offline signature is one of the frequently used biometric traits in daily life and yet skilled forgeries are posing a great challenge for offline signature verification. To differentiate forgeries, a variety of research has been conducted on hand-crafted
Gumusbas Dilara, Yildirim Tulay
doaj +1 more source
Microgel‐based 3D printed constructs represent a compelling and versatile innovation for engineering architecturally complex, dynamically remodelable, and biocompatible structures with high structural fidelity and bioactivity. By integrating material design, biofabrication, and biological function, these systems enable the development of adaptive ...
Elena Ghighină +2 more
wiley +1 more source
Multi-Attention-Based Capsule Network for Uyghur Personal Pronouns Resolution
Anaphora resolution of Uyghur is a challenging task because of complex language structure and limited corpus. We propose a multi-attention based capsule network model for Uyghur personal pronouns resolution, which can obtain the multi-layer and implicit ...
Qimeng Yang +3 more
doaj +1 more source
Atomic Layer Deposition Processes: Versatile Platforms for Engineering ZnO‐Chitosan Biointerfaces
Vapour phase metalation (VPM), multiplied pulsed vapour phase infiltration (MPI), and O2 plasma‑enhanced atomic layer deposition (PEALD) tailor Zn–chitosan (Zn‑CS) films. PEALD improves wettability and biocompatibility. MPI enhances semiconductor behavior. Antiseptic selectivity: VPM → E. coli; MPI → H. pylori.
Mabel Moreno +17 more
wiley +1 more source
Image recognition using capsule network on FPGA [PDF]
A capsule neural network (CapsNet) is a new approach in artificial neural network (ANN) that produces a better model hierarchical relationship. A capsule is a set of neurons. Each capsule generates vector which presents the details of an entity.
Adrees, Salim Ali Abdulrraziq
core
A diagnosis method of capsule surface damage based on convolutional neural network
In order to accurately identify whether there are damages and damage types on the surface of the aerostat capsule, combined with the powerful data processing capabilities and abnormal pattern recognition capabilities of deep learning, this paper proposes
Zheng Zhang +4 more
core +1 more source
Surface‐host dialogue at the implant interface governs biological fate and osseointegration. Surface physicochemical properties of titanium (Ti) dental implants, including microgrooves, nanopatterns, nanotopography, roughness, and wettability, modulate the initial adsorption of proteins and the formation of a dynamic biointerface.
Daniela Moreira Cunha +9 more
wiley +1 more source
Natural Biomaterials for Osteochondral Repair: From Source to Strategy
Biological origin‐guided overview of natural biomaterials and therapeutic strategies for osteochondral tissue engineering. The circular diagram categorizes representative materials and strategies into plant/algae‐derived, microbial‐derived, animal‐derived, and human‐derived sources, centered on an osteochondral defect repair model.
Hengyu Liu +5 more
wiley +1 more source
Generalization to unseen viewpoint images of objects via alleviated pose attentive capsule agreement
Despite their achievements in object recognition, Convolutional Neural Networks (CNNs) particularly fail to generalize to unseen viewpoints of a learned object even with substantial samples. On the other hand, recently emerged capsule networks outperform
Özcan, Barış +2 more
core +1 more source

