Results 151 to 160 of about 32,458 (271)

Rheological and Textural Properties of Clean‐Label 3D‐Printed Traditional Thai Dessert

Food Bioengineering, EarlyView.
ABSTRACT This study aimed to develop a clean‐label 3D‐printable food ink using a formulation based on Khanom Piak Poon, a traditional Thai dessert, enriched with carrot powder (CP) for enhanced nutritional value. Unlike conventional food printing inks that contain additive hydrocolloids, this ink relies on the natural reactions between starch, sugar ...
Anucha Pramuan, Phennapha Saokham, Chanawat Nitatwichit, Yardfon Tanongkankit, Saranyapak Chamnan, Suthathip Wongpansua, Jaturapatr Varith   +6 more
wiley   +1 more source

Efficient multi-finger vein recognition using layer-wise progressive MobileNet fine-tuning and a Dense-Head Probabilistic Siamese Network. [PDF]

Sci Rep
Alaerjan AS, Mostafa AM, Mahmoud AA, Ezz M.   +3 more
europepmc   +1 more source

Siamese network with a depthwise over-parameterized convolutional layer for visual tracking. [PDF]

PLoS One, 2022
Wang Y, Zhang W, Zhang L, Wang J.
europepmc   +1 more source

Siamese networks for generating adversarial examples

, 2018
Machine learning models are vulnerable to adversarial examples. An adversary modifies the input data such that humans still assign the same label, however, machine learning models misclassify it. Previous approaches in the literature demonstrated that adversarial examples can even be generated for the remotely hosted model.
Kulkarni, Mandar, Abubakar, Aria
openaire   +1 more source

Beeswax: Food and beyond

Food Biomacromolecules, EarlyView.
Abstract Honeybees (Apis mellifera L.) are an important class of insects that are the most beneficial in terms of economy. Beeswax is the second most important bee products after honey. Its commercial importance is due to its antimicrobial, antioxidant, anti‐inflammatory and antiseptic as well as regenerative properties.
Rajshri Naveen, Manickam Loganathan
wiley   +1 more source

Prediction of liquid-phase separation proteins using Siamese network with feature fusion. [PDF]

Brief Bioinform
Yang YH, Liu Q, Liu JF, Yang JT.
europepmc   +1 more source

Long-term liver lesion tracking in contrast-enhanced ultrasound videos via a siamese network with temporal motion attention. [PDF]

Front Physiol, 2023
Tian H, Cai W, Ding W, Liang P, Yu J, Huang Q.   +5 more
europepmc   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

A Diagnosis-Based Siamese Network for Fault Detection Through Transfer Learning. [PDF]

J Chem Inf Model
Neto JG, Figueiredo K, Soares JBP, Brandão ALT.   +3 more
europepmc   +1 more source

Object Relocation Visual Tracking Based on Histogram Filter and Siamese Network in Intelligent Transportation. [PDF]

Sensors (Basel), 2022
Zhang J, Liu Y, Li Q, He C, Wang B, Wang T.   +5 more
europepmc   +1 more source