Predicting phenotypes from genetic, environment, management, and historical data using CNNs

Autor: Patrick O’Briant, Emre Cimen, Timothy Reeves, Jacob D. Washburn, Graeme Hammer, Greg McLean, Edward S. Buckler, Guillaume P. Ramstein, Mark E. Cooper

Publikováno v: Washburn, J D, Cimen, E, Ramstein, G, Reeves, T, O’Briant, P, McLean, G, Cooper, M, Hammer, G & Buckler, E S 2021, ' Predicting phenotypes from genetic, environment, management, and historical data using CNNs ', Theoretical and Applied Genetics, vol. 134, no. 12, pp. 3997-4011 . https://doi.org/10.1007/s00122-021-03943-7

Key Message: Convolutional Neural Networks (CNNs) can perform similarly or better than standard genomic prediction methods when sufficient genetic, environmental, and management data are provided. Abstract: Predicting phenotypes from genetic (G), env

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edbb83766b2d24e54b228d903b7e2be5
https://doi.org/10.1007/s00122-021-03943-7

Substantiation of the method of manufacturing gauze swabs depending on the purpose of use

Autor: M. M. Ruban, S. V. Sander, O. P. Fejaga, V. M. Kroshka, O. M. Lopushansky

Publikováno v: Reports of Vinnytsia National Medical University. 25:97-101

Annotation. Gauze remains the main dressing. It is used to make swabs for drying wounds and dissecting tissues. The purpose of the work is to establish the optimal density of the swab for drainage of the wound and preparation of tissues. Swabs made o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::20574ceb891b1b25ae0cd6db1df5cc32
https://doi.org/10.31393/reports-vnmedical-2021-25(1)-18

Creating herd behavior by virtual agents using neural networks

Autor: Urszula Markowska-Kaczmar, Adrian Slimak

Publikováno v: KES

The paper focuses on simulating an artificial life in which neural networks (recurrent (RNN) and Long Short Term Memory (LSTM) networks) control prey and predator agents. The research goal was to check whether a simple genetic algorithm evolves the L

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8127c2548229a6e0f39a46b79bd01cf0
https://doi.org/10.1016/j.procs.2021.08.045

A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition

Autor: Wei Xia, Yang Zhao, Jian Gao, Jing-Ting Lu, Hai Min, Wei Jia

Publikováno v: International Journal of Automation and Computing. 18:18-44

Palmprint recognition and palm vein recognition are two emerging biometrics technologies. In the past two decades, many traditional methods have been proposed for palmprint recognition and palm vein recognition, and have achieved impressive results.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fcc862ad1b4bac5bb5e787106fe65f04
https://doi.org/10.1007/s11633-020-1257-9

Fitness accuracy and retentive forces of additive manufactured titanium clasp

Autor: Toyoki Nakata, Kazuya Takahashi, Chikahiro Ohkubo, Mana Torii, Hidemasa Shimpo, Noboru Kawamura

Publikováno v: Journal of Prosthodontic Research. 64:468-477

Purpose Laboratory and clinical assessment of cast titanium dentures were reported, little is known about additive manufacturing (AM) frameworks. This study evaluated in vitro AM titanium alloy clasps for clinical use. Methods After scanning the stai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32416c3ace1cfd98c73406fe67e1681c
https://doi.org/10.1016/j.jpor.2020.01.001