[HTML][HTML] Developments, application, and performance of artificial intelligence in dentistry–A systematic review
Background/purpose Artificial intelligence (AI) has made deep inroads into dentistry in the
last few years. The aim of this systematic review was to identify the development of AI …
last few years. The aim of this systematic review was to identify the development of AI …
Novel machine learning applications on fly ash based concrete: an overview
A machine learning technique provides rapid access to various information models,
approaches, complex systems, and algorithms. In the present scenario the artificial neural …
approaches, complex systems, and algorithms. In the present scenario the artificial neural …
Extended dissipative state estimation for Markov jump neural networks with unreliable links
This paper is concerned with the problem of extended dissipativity-based state estimation for
discrete-time Markov jump neural networks (NNs), where the variation of the piecewise time …
discrete-time Markov jump neural networks (NNs), where the variation of the piecewise time …
An overview of deep learning in the field of dentistry
JJ Hwang, YH Jung, BH Cho… - Imaging science in …, 2019 - synapse.koreamed.org
Purpose Artificial intelligence (AI), represented by deep learning, can be used for real-life
problems and is applied across all sectors of society including medical and dental field. The …
problems and is applied across all sectors of society including medical and dental field. The …
Multi‐scale Internet traffic forecasting using neural networks and time series methods
This article presents three methods to forecast accurately the amount of traffic in TCP/IP
based networks: a novel neural network ensemble approach and two important adapted …
based networks: a novel neural network ensemble approach and two important adapted …
Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm
The most important problems with exploiting artificial neural networks (ANNs) are to design
the network topology, which usually requires an excessive amount of expert's effort, and to …
the network topology, which usually requires an excessive amount of expert's effort, and to …
ANN model for predicting the compressive strength of circular steel-confined concrete
Concrete filled steel tube is constructed using various tube shapes to obtain most efficient
properties of concrete core and steel tube. The compressive strength of concrete is …
properties of concrete core and steel tube. The compressive strength of concrete is …
[HTML][HTML] Application of machine learning in rheumatic disease research
KJ Kim, I Tagkopoulos - The Korean journal of internal medicine, 2019 - ncbi.nlm.nih.gov
Over the past decade, there has been a paradigm shift in how clinical data are collected,
processed and utilized. Machine learning and artificial intelligence, fueled by breakthroughs …
processed and utilized. Machine learning and artificial intelligence, fueled by breakthroughs …
Crude oil price analysis and forecasting using wavelet decomposed ensemble model
To improve the forecasting accuracy of crude oil price with deeper understanding of the
market microstructure, this paper proposes a wavelet decomposed ensemble model. The …
market microstructure, this paper proposes a wavelet decomposed ensemble model. The …
Rosette tracker: an open source image analysis tool for automatic quantification of genotype effects
Abstract Image analysis of Arabidopsis (Arabidopsis thaliana) rosettes is an important
nondestructive method for studying plant growth. Some work on automatic rosette …
nondestructive method for studying plant growth. Some work on automatic rosette …