Results 31 to 40 of about 21,937 (252)
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Application of Color and Size Measurement in Food Products Inspection
Color and size are external aspects considered by consumers in purchasing a food product and are used in food product inspection using computer vision. This paper reviews recent applications of color and size measurement in food product inspection using ...
Joko Siswantoro
doaj +1 more source
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
wiley +1 more source
Development and validation of a novel and graded colour saturation threshold test, the LSS-8
Colour vision changes are a key clinical feature of many acquired retinal and optic nerve disorders. Current clinical tests are often labour-intensive or designed for congenital defects. We introduce the novel LSS-8 test, which measures colour saturation
Kristyna Stepnicka +3 more
doaj +1 more source
High Performance Durable Vanadium Dioxide Spectral Selective Modulation Smart Windows
Crystallinity‐enhanced VO2 nanoparticles with a self‐limited amorphous oxidation shell achieve an order of magnitude durability improvement and high spectral selective modulation performance (luminous transmittance of 28.5%, solar modulation of 10.5%, and mid‐infrared emissivity modulation of 0.5) for smart windows.
Bin Li +7 more
wiley +1 more source
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
Prevalence and types of color vision deficiency among primary school students in Alexandria
Purpose The aim of this study was to determine the prevalence and types of color vision deficiency (CVD) among primary school students in Alexandria, Egypt. Setting This study was carried out at three primary schools in Alexandria, Egypt.
Alaa A.B Elshazly +2 more
doaj +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
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
Color Vision Deficiency Prevalence among NEET-UG Aspirants: A Medical Examination Analysis in Meerut
Background: Color vision deficiency (CVD), a genetic disorder affecting the cones in the retina, is prevalent across human populations. It is a sex-linked recessive trait, occurring predominantly in males and transmitted through females.
Kirti Singh +3 more
doaj +1 more source

