Association Between Neonatal Intensive Care Unit Type and Quality of Care in Moderate and Late Preterm Infants.
Sign Up to like & getrecommendations! Published in 2023 at "JAMA pediatrics"
DOI: 10.1001/jamapediatrics.2022.5213
Abstract: Importance A higher level of care improves outcomes in extremely and very preterm infants, yet the impact of neonatal intensive care unit (NICU) level on moderate and late preterm (MLP) care quality is unknown. Objective… read more here.
Keywords: quality; extremely preterm; care; type nicus ... See more keywords
Effect of Mulberry leaf polysaccharides on the baking and staling properties of frozen dough bread.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the science of food and agriculture"
DOI: 10.1002/jsfa.11959
Abstract: BACKGROUND A series of deterioration in frozen dough bread is easy to happen in store sales, resulting in tremendous economic waste. Therefore, it is imperative to find natural additives to improve the storage staling. The… read more here.
Keywords: leaf polysaccharides; frozen dough; mulberry leaf; dough bread ... See more keywords
Effect of different levels of green tea (Camellia sinensis) and mulberry (Morus alba) leaves powder on performance, carcass characteristics, immune response and intestinal morphology of broiler chickens
Sign Up to like & getrecommendations! Published in 2023 at "Veterinary Medicine and Science"
DOI: 10.1002/vms3.1133
Abstract: Abstract Background In recent years, the use of medicinal plants as an alternative to antibiotics has expanded. Plants containing medicines and antioxidants can improve the performance of poultry. Objectives The purpose of this study was… read more here.
Keywords: mlp gtp; levels green; gtp mlp; mlp ... See more keywords
Proposing two new metaheuristic algorithms of ALO-MLP and SHO-MLP in predicting bearing capacity of circular footing located on horizontal multilayer soil
Sign Up to like & getrecommendations! Published in 2019 at "Engineering with Computers"
DOI: 10.1007/s00366-019-00897-9
Abstract: In this study, for the issue of shallow circular footing’s bearing capacity (also shown as F ult ), we used the merits of artificial neural network (ANN), while optimized it by two metaheuristic algorithms (i.e.,… read more here.
Keywords: soil; bearing capacity; sho mlp; mlp ... See more keywords
Transportation Object Detection with Bag of Visual Words Model by PLSA and MLP
Sign Up to like & getrecommendations! Published in 2018 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-018-1075-2
Abstract: Visual big data is an essential and significant research topic, due to its diverse applications. In this paper, a new visual detection method for transportation is proposed based on probabilistic latent semantic analysis with visual… read more here.
Keywords: transportation; detection; visual words; bag visual ... See more keywords
Hyperconic Multilayer Perceptron
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-016-9505-2
Abstract: This paper introduces the design of the hyperconic multilayer perceptron (HC-MLP). Complex non-linear decision regions for classification purposes are generated by quadratic hyper-surfaces spawned by the hyperconic neurons in the hidden layer (for instance, spheres,… read more here.
Keywords: multilayer perceptron; mlp; hyperconic multilayer; multilayer ... See more keywords
Machine learning potentials for tobermorite minerals
Sign Up to like & getrecommendations! Published in 2021 at "Computational Materials Science"
DOI: 10.1016/j.commatsci.2020.110173
Abstract: Abstract Molecular dynamics (MD) simulation is an important tool to understand the physical and chemical properties of cement hydrates at the atomic level. MD with the machine learning potential (MLP) is considered a promising approach… read more here.
Keywords: machine learning; potentials tobermorite; tobermorite minerals; mlp ... See more keywords
Nature-inspired hybrid techniques of IWO, DA, ES, GA, and ICA, validated through a k-fold validation process predicting monthly natural gas consumption
Sign Up to like & getrecommendations! Published in 2020 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2020.110023
Abstract: Abstract Current study aimed to combine the multi-layer Perceptron (MLP) neural network technique with five metaheuristic computational algorithms, namely invasive weed optimization (IWO-MLP), dragonfly algorithm (DA-MLP), evolution strategy (ES-MLP), genetic algorithm (GA-MLP), and imperialist competitive… read more here.
Keywords: gas; mlp; mlp mlp; natural gas ... See more keywords
Remote sensing image scene classification using CNN-MLP with data augmentation
Sign Up to like & getrecommendations! Published in 2020 at "Optik"
DOI: 10.1016/j.ijleo.2020.165356
Abstract: Abstract Classification of the very high-resolution (VHR) imagery scene has become a challenging problem. The convolutional neural network (CNN) has increased the accuracy in this area due to learning features. However, models based on CNN… read more here.
Keywords: cnn mlp; image; classification; mlp ... See more keywords
Modeling of geothermal power system equipped with absorption refrigeration and solar energy using multilayer perceptron neural network optimized with imperialist competitive algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2020.124216
Abstract: Abstract For geothermal energy system, the low geothermal well operating lifetime and temperature is one of the main obstacles. Also, finding the optimum design parameters and operating conditions requires many experimental tests and intricate mathematical… read more here.
Keywords: system; absorption refrigeration; multilayer perceptron; algorithm ... See more keywords
Neuro-evolutionary models for imbalanced classification problems
Sign Up to like & getrecommendations! Published in 2020 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2020.11.005
Abstract: Abstract Training an Artificial Neural Network (ANN) algorithm is not trivial, which requires optimizing a set of weights and biases that increase dramatically with the increasing capacity of the neural network resulting in such hard… read more here.
Keywords: evolutionary models; mlp; optimization; neural network ... See more keywords