Results 91 to 100 of about 11,106 (227)
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 +9 more
wiley +1 more source
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 +12 more
wiley +1 more source
Computer Vision and Image Processing: A Paper Review [PDF]
Computer vision has been studied from many persective. It expands from raw data recording into techniques and ideas combining digital image processing, pattern recognition, machine learning and computer graphics.
Victor Wiley +3 more
core +1 more source
Fake Currency Detector Using Image Processing and Computer Vision Techniques
Counterfeiting of currency has become a real threat to the livelihood of people as well as the economy of our country. Though fake currency detectors are available, they are restricted to banks and corporate offices leaving common people and small businesses vulnerable.
openaire +1 more source
Making the Case for Organ‐on‐Chip Platforms in Long‐Acting Therapeutics Development
LATs release drug from a tissue‐resident depot over weeks to months, improving adherence, but their development is hampered by preclinical models that cannot reproduce the coupled tissue processes, sustained release, local microenvironment change, interstitial transport, immune and foreign‐body responses, and clearance that govern depot performance in ...
Charlie Gowans +7 more
wiley +1 more source
In this study, we fabricate photovoltaic retinal implants with pyrolytic carbon electrodes and test their ability to stimulate mouse and pig retinas when illuminated with near‐infrared light. We find increased spiking activity in both animal models compared to spontaneous activity and TTX controls and analyze the spike amplitude, latency and frequency.
Akihiro Matsumoto +10 more
wiley +1 more source
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
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 +26 more
wiley +1 more source
A Comprehensive Review of Computer Vision and Image Processing Techniques
Computer Vision (CV) and Image Processing (IP) have emerged as fundamental pillars in modern computational intelligence, enabling machines to interpret, analyze, and make decisions based on visual data. Over the past decades, these domains have undergone a significant transformation from traditional algorithmic approaches to data-driven deep learning ...
openaire +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
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 +12 more
wiley +1 more source
Efficient load balancing techniques for image analysis on an M-SIMD machine [PDF]
The computational requirements for the real time processing of image sequences is sufficiently high that some form of parallel hardware is essential. In the analysis of a sequence of images the areas of interest are moving objects which usually occupy ...
Nudd, G. R., Kerbyson, D. J., Zheng, Y.
core

