Results 101 to 110 of about 38,348 (250)

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Handbook Of Pattern Recognition and Computer Vision [PDF]

, 1993
C H Chen, L F Pau, P S P Wang
openaire   +2 more sources

Multifunctional Catechol‐Functionalized Cellulose Hydrogels for the Minimally Invasive Treatment of Acute Optic Nerve Injuries

Advanced Healthcare Materials, EarlyView.
Catechol‐functionalized cellulose hydrogels are developed as injectable, bioadhesive platforms for retinal neuroprotection. The hydrogels exhibit tunable rheological and mechanical properties, strong tissue adhesion, and sustained antioxidative activity.
Kai‐Hsiang Chang, Yi‐Ke Lin, Wei‐Li Chen, Ta‐Ching Chen, Jiashing Yu   +4 more
wiley   +1 more source

ADAPTIVE VISION AI

Автоматизация технологических и бизнес-процессов
. As of today, computer vision systems are continuously developing and systematically improving. Machines see visual content in the form of numbers, in which each pixel represents its own piece of information.
V. Vodyanitskyi, V. Yuskovych-Zhukovska
doaj   +1 more source

Engineering Concentration‐Dependent Intravitreal Mobility via Cyclic Arginine‐Enriched Nanocarrier Surface Modification: In Vivo Proof‐of‐Concept in a Porcine Large Animal Model

Advanced Healthcare Materials, EarlyView.
In this study, Hammer et al. highlight cyclic‐arginine surface engineering as a highly biocompatible, controllable, and concentration‐dependent regulator of intravitreal nanoparticle mobility in vivo in a translational large animal model. The cyclic arginine surface‐modification supports the development of next‐generation biomaterials for long‐acting ...
Maximilian Hammer, Bryan Calder Ackermann, Anna Stoß, Niklas Junker, Ludwig Geisweid, Sabrina Wohlfart, Jonathan Herth, Simon William Pohl, Manuel Ben Böhmann, André Schulz, Victor Aristide Augustin, Gerd Uwe Auffarth, Philipp Uhl   +12 more
wiley   +1 more source

Inhibition of VEGF‐Induced Angiogenesis and Vascular Leakage by Bicistronic Co‐Expression of Aflibercept and COMP‐Ang1

Advanced Healthcare Materials, EarlyView.
A bicistronic rAAV8 vector encoding Aflibercept (Afb) and COMP‐cAng1 simultaneously coordinates VEGF clearance and Tie2‐mediated vessel maturation. In a 3D angiogenesis‐on‐a‐chip model, rAAV8‐Afb/cAng1 effectively reverses pathological barrier breakdown under clinical disease‐mimicking challenges.
Bong‐Kyu Kim, Jaehong Min, Sang‐Hee Park, Subeen Shin, Sangbin Yu, Jeong‐Eun Park, Sujin Kim, Wooju Park, Jihoon Ko, Sunjong Kwon   +9 more
wiley   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Pattern Recognition Using Computer Vision

This project, “Pattern Recognition using Computer Vision” focuses on developing a system capable of identifying and interpreting patterns in visual data through the use of machine learning algorithms. The goal is to address the limitations of traditional pattern recognition systems, such as low accuracy and inefficiency, by leveraging Logistic ...
openaire   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

DEEP AND MACHINE LEARNING MODELS FOR RECOGNIZING STATIC AND DYNAMIC GESTURES OF THE KAZAKH ALPHABET

Scientific Journal of Astana IT University
Currently, an increasing amount of research is directed towards solving tasks using computer vision libraries and artificial intelligence tools. Most common are the solutions and approaches utilizing machine and deep learning models of artificial neural ...
Samat Mukhanov, Raissa Uskenbayeva, Abdul Ahmad Rakhim, Im Cho Young, Aknur Yemberdiyeva, Zhansaya Bekaulova   +5 more
doaj   +1 more source