“Blind” Testing of Models for Predicting the 90Sr Activity Concentration in River Systems Using Post-Chernobyl Monitoring Data

Journal of Environmental Radioactivity - United Kingdom
doi 10.1016/j.jenvrad.2006.09.007
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

The Urgency of Testing Standard for Elderly’s Monitoring Systems in Indonesia

SHS Web of Conferences
2018English

Simulation Model for Predicting the Concentration of Reactant Parameters in Water Distribution Systems

Houille Blanche
Water ScienceTechnology
1999English

Monitoring Ice Break-Up on the Mackenzie River Using MODIS Data

Cryosphere
Earth-Surface ProcessesTechnologyWater Science
2016English

Predicting Decadal Trends in Cloud Droplet Number Concentration Using Reanalysis and Satellite Data

Atmospheric Chemistry and Physics
Atmospheric Science
2018English

Predicting Decadal Trends in Cloud Droplet Number Concentration Using Reanalysis and Satellite Data

2017English

Hybrid Data Mining Models for Predicting Customer Churn

International Journal of Communications, Network and System Sciences
2015English

Dynamic Wildlife Occupancy Models Using Automated Acoustic Monitoring Data

Ecological Applications
Ecology
2019English

An Activity Monitoring System for Elderly Care Using Generative and Discriminative Models

Personal and Ubiquitous Computing
HardwareManagement ScienceComputer Science ApplicationsArchitectureOperations Research
2010English

Analysis of Testing Models and Systems

Educational resources and technology
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy