P Steier
Biographic Data
| ID | 5597289 |
|---|---|
| NAME | P Steier |
| GIVEN NAMES | P |
| FAMILY NAME | Steier |
| SIGNATURE | STEIER P |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 1 |
C Dating of Humic Acids from Bronze and Iron Age Plant Remains from the Eastern Mediterranean
Radiocarbon dating of plant remains is often difficult due to the complete dissolution of the samples in the alkaline step of the ABA pretreatment. At the VERA laboratory, this problem was encountered frequently when numerous Bronze and Early Iron Age samples from the eastern Mediterranean were dated in the course of the special research program SCIEM2000 and in other collaborations with archaeologists focused on that area and time period. For th…
The Filling of Gaps in Geophysical Time Series by Artificial Neural Networks
Nowadays, there is a large number of time series of natural data to study geophysical and astrophysical phenomena and their characteristics. However, short length and data gaps pose a substantial problem for obtaining results on properties of the underlying physical phenomena with existing algorithms. Using only an equidistant subset of the data with coarse steps leads to loss of information. We present a method to recover missing data in time se…
C Dating of Humic Acids from Bronze and Iron Age Plant Remains from the Eastern Mediterranean
Radiocarbon dating of plant remains is often difficult due to the complete dissolution of the samples in the alkaline step of the ABA pretreatment. At the VERA laboratory, this problem was encountered frequently when numerous Bronze and Early Iron Age samples from the eastern Mediterranean were dated in the course of the special research program SCIEM2000 and in other collaborations with archaeologists focused on that area and time period. For th…
The Filling of Gaps in Geophysical Time Series by Artificial Neural Networks
Nowadays, there is a large number of time series of natural data to study geophysical and astrophysical phenomena and their characteristics. However, short length and data gaps pose a substantial problem for obtaining results on properties of the underlying physical phenomena with existing algorithms. Using only an equidistant subset of the data with coarse steps leads to loss of information. We present a method to recover missing data in time se…
C Dating of Humic Acids from Bronze and Iron Age Plant Remains from the Eastern Mediterranean
Radiocarbon dating of plant remains is often difficult due to the complete dissolution of the samples in the alkaline step of the ABA pretreatment. At the VERA laboratory, this problem was encountered frequently when numerous Bronze and Early Iron Age samples from the eastern Mediterranean were dated in the course of the special research program SCIEM2000 and in other collaborations with archaeologists focused on that area and time period. For th…
Geology (2 works) · Radiocarbon dating (2 works) · Algorithm (1 works) · Ancient Mediterranean Archaeology and History (1 works) · Archaeology (1 works) · Archaeology and ancient environmental studies (1 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · Charcoal (1 works) · Chemistry (1 works)