Post Mortem Interval: Necrobiome Analysis Using Artificial Neural Networks

Post Mortem ◽

Post Mortem Interval ◽

Capillary zone electrophoresis and artificial neural networks for estimation of the post-mortem interval (PMI) using electrolytes measurements in human vitreous humour

International Journal of Legal Medicine ◽

10.1007/s004140100239 ◽

2002 ◽

Vol 116 (1) ◽

pp. 5-11 ◽

Cited By ~ 48

Author(s):

G. Bocaz-Beneventi ◽

F. Tagliaro ◽

F. Bortolotti ◽

G. Manetto ◽

J. Havel

Keyword(s):

Neural Networks ◽

Capillary Zone Electrophoresis ◽

Vitreous Humour ◽

Post Mortem ◽

Post Mortem Interval ◽

Zone Electrophoresis ◽

Capillary Zone ◽

Chemometric estimation of post-mortem interval based on Na+ and K+ concentrations from human vitreous humour by linear least squares and artificial neural networks modelling

Australian Journal of Forensic Sciences ◽

10.1080/00450618.2013.825812 ◽

2013 ◽

Vol 46 (2) ◽

pp. 166-179 ◽

Cited By ~ 9

Author(s):

Slobodan B. Gadzuric ◽

Sanja O. Podunavac Kuzmanovic ◽

Aleksandar I. Jokic ◽

Milan B. Vranes ◽

Niksa Ajdukovic ◽

...

Keyword(s):

Neural Networks ◽

Least Squares ◽

Vitreous Humour ◽

Post Mortem ◽

Linear Least Squares ◽

Post Mortem Interval ◽

Optimisation of HPLC gradient separations using artificial neural networks (ANNs): Application to benzodiazepines in post-mortem samples

Journal of Chromatography B ◽

10.1016/j.jchromb.2009.01.012 ◽

2009 ◽

Vol 877 (7) ◽

pp. 615-620 ◽

Cited By ~ 18

Author(s):

Rebecca Webb ◽

Philip Doble ◽

Michael Dawson

Keyword(s):

Neural Networks ◽

Post Mortem ◽

Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Cited By ~ 1

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues

PsycEXTRA Dataset ◽

10.1037/e666722007-001 ◽

2006 ◽

Author(s):

Maria Karanika ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Risk Assessment ◽

Organizational Issues ◽

Artificial neural networks for diagnosis and prognosis in prostate cancer

Seminars in Urologic Oncology ◽

10.1053/suro.2002.32492 ◽

2002 ◽

Vol 20 (2) ◽

pp. 89-95 ◽

Cited By ~ 35

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Diagnosis And Prognosis ◽

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

Scientific Review Series 1 Economics and Law ◽

10.33051/2076-4650-2018-6-6-11 ◽

2018 ◽

pp. 6-11

Author(s):

Kobiljon Kh. Zoidov ◽

◽

Svetlana V. Ponomareva ◽

Daniel I. Serebryansky ◽

◽

...

Keyword(s):

Neural Networks ◽

Space Exploration ◽

Differentiation Between Mass-forming Type Peripheral Cholangiocarcinoma and Hepatic Abscesses: Application of Artificial Neural Networks to CT Images

Journal of the Korean Radiological Society ◽

10.3348/jkrs.2005.53.5.343 ◽

2005 ◽

Vol 53 (5) ◽

pp. 343 ◽

Cited By ~ 1

Author(s):

Nak Jong Seong ◽

Jeong Min Lee ◽

Se Hyung Kim ◽

Joon Koo Han ◽

Young Jun Kim ◽

...

Keyword(s):

Neural Networks ◽

Ct Images ◽

Peripheral Cholangiocarcinoma ◽

Физико-технические проблемы разработки полезных ископаемых ◽

A New Model Based on Artificial Neural Networks and Game Theory for the Selection of Underground Mining Method

10.15372/ftprpi20200108 ◽

2020 ◽

Keyword(s):

Neural Networks ◽

Game Theory ◽

Underground Mining ◽

Mining Method ◽

New Model ◽

Model Based ◽

Artificial Neural ◽

Selection Of