A pilot study of using Artificial Neural Network on the climbing ability of Swinhoe's Frog

2013 ◽  
Vol 58 ◽  
pp. 255-261 ◽  
Author(s):  
Tsai-Fu Chuang ◽  
Yuan-Hsiou Chang
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Pilot Study ◽  
Climbing Ability ◽  
Artificial Neural

scholarly journals Soil color analysis based on a RGB camera and an artificial neural network towards smart irrigation: A pilot study

Heliyon ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. e06078
Author(s):  
Ali Al-Naji ◽  
Ahmed Bashar Fakhri ◽  
Sadik Kamel Gharghan ◽  
Javaan Chahl
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Pilot Study ◽  
Color Analysis ◽  
Soil Color ◽  
Artificial Neural

Preoperative prediction of hepatocellular carcinoma tumour grade and micro-vascular invasion by means of artificial neural network: A pilot study

2010 ◽  
Vol 52 (6) ◽  
pp. 880-888 ◽  
Author(s):  
Alessandro Cucchetti ◽  
Fabio Piscaglia ◽  
Antonia D’Errico Grigioni ◽  
Matteo Ravaioli ◽  
Matteo Cescon ◽  
...  
Keyword(s):  
Neural Network ◽  
Hepatocellular Carcinoma ◽  
Artificial Neural Network ◽  
Pilot Study ◽  
Vascular Invasion ◽  
Tumour Grade ◽  
Preoperative Prediction ◽  
Artificial Neural

scholarly journals Three-Dimensional Dental Analysis for Sex Estimation in the Italian Population: A Pilot Study Based on a Geometric Morphometric and Artificial Neural Network Approach

Healthcare ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 9
Author(s):  
Giorgio Oliva ◽  
Vilma Pinchi ◽  
Ilenia Bianchi ◽  
Martina Focardi ◽  
Corrado Paganelli ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Pilot Study ◽  
Partial Least Square ◽  
Least Square ◽  
Future Research ◽  
Italian Population ◽  
Neural Network Approach ◽  
Geometric Morphometric ◽  
Artificial Neural

Dental dimorphism can be used for discriminating sex in forensic contexts. Geometric morphometric analysis (GMA) allows the evaluation of the shape and size, separately, of uneven 3D objects. This study presents experiments using a novel combination of GMA and an artificial neural network (ANN) for sex classification, applied to premolars of Caucasian Italian adults (50 females and 50 males). General Procrustes superimposition (GPS) and the partial least square (PLS) method were performed, respectively, to study the shape variance between sexes and to eliminate landmark variations. The “set-aside” approach was used to assess the accuracy of the proposed neural networks. As the main findings of the pilot study, the proposed method applied to the first upper premolar correctly classified 90% of females and 73% of males of the test sample. The accuracy was 0.84 and 0.80 for the training and test samples, respectively. The sexual dimorphism resulting from GMA was low, although statistically significant. GMA combined with the ANN demonstrated better sex classification ability than previous odontometric or dental morphometric methods. Future research could overcome some limitations by considering a larger sample of subjects and other kinds of teeth and experimenting with the use of computer vision for automatic landmark positioning.

scholarly journals Artificial neural network to guide intracorneal ring segments implantation for keratoconus treatment: a pilot study

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Chiara Fariselli ◽  
Alfredo Vega-Estrada ◽  
Francisco Arnalich-Montiel ◽  
Jorge L. Alio
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Pilot Study ◽  
Artificial Neural

Classification of clinical autofluorescence spectra of oral leukoplakia using an artificial neural network: a pilot study

Oral Oncology ◽  
2000 ◽  
Vol 36 (3) ◽  
pp. 286-293 ◽  
Author(s):  
H.J. van Staveren ◽  
R.L.P. van Veen ◽  
O.C. Speelman ◽  
M.J.H. Witjes ◽  
W.M. Star ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Pilot Study ◽  
Oral Leukoplakia ◽  
Artificial Neural
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