Results 221 to 230 of about 156,272 (383)

Optimization of Hot-Dip Aluminizing Process Parameters of AISI 303 Stainless Steel Using RSM [PDF]

open access: diamond, 2015
Ahmed Naïf Al-Khazraji   +2 more
openalex   +1 more source

A Contrast‐Enhanced Ultrasound Cine‐Based Deep Learning Model for Predicting the Response of Advanced Hepatocellular Carcinoma to Hepatic Arterial Infusion Chemotherapy Combined With Systemic Therapies

open access: yesCancer Science, EarlyView.
To the best of our knowledge, this is the first prospective study to develop a non‐invasive imaging‐based deep learning model to predict the therapeutic response of advanced HCC to HAIC triple combination therapy in a dual‐center cohort. We developed and externally validated an attention‐enhanced three‐dimensional deep convolutional neural network ...
Xu Han   +15 more
wiley   +1 more source

UN ENFOQUE ECONÓMICO PSICOLÓGICO DEL COMPORTAMIENTO DE REBAÑO

open access: yesCuadernos de Economía, 2007
Laurens Rook
doaj  

Differential Diffusion: Giving Each Pixel Its Strength

open access: yesComputer Graphics Forum, EarlyView.
Abstract Diffusion models have revolutionized image generation and editing, producing state‐of‐the‐art results in conditioned and unconditioned image synthesis. While current techniques enable user control over the degree of change in an image edit, the controllability is limited to global changes over an entire edited region.
Eran Levin, Ohad Fried
wiley   +1 more source

Optimisation of ANN topology for predicting the rehydrated apple cubes colour change using RSM and GA [PDF]

open access: hybrid, 2016
Radosław Winiczenko   +3 more
openalex   +1 more source

Optimisation of purple dyeing with Mexican cochineal in cotton with multivariate analysis and the response surface method

open access: yesColoration Technology, EarlyView.
Abstract This study aims to optimise the dyeing process of cotton fabrics using Mexican cochineal (Dactylopius coccus Costa). The objective is to obtain purple hues through the design of experiments and by using multivariate analysis. Plackett–Burman experimental designs and the response surface method were used to systematically optimise the dyeing ...
Ernesto Olvera‐Quintanar   +3 more
wiley   +1 more source

Antioxidant Activity of Ultrasonic Assisted Ethanol Extract of Ainsliaea acerifolia and Prediction of Antioxidant Activity with Machine Learning

open access: yesBioResources
The antioxidant properties of Ainsliaea acerifolia, a wild edible plant, were examined by ultrasonic-assisted ethanol extraction methods. The primary objective was to optimize the extraction conditions and accurately predict antioxidant activities using ...
Hyeon Cheol Kim   +2 more
doaj  

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