Machine learning-assisted approaches in modernized plant breeding programs

M Yoosefzadeh Najafabadi, M Hesami, M Eskandari - Genes, 2023 - mdpi.com
In the face of a growing global population, plant breeding is being used as a sustainable tool
for increasing food security. A wide range of high-throughput omics technologies have been …

Mixed model prediction and small area estimation

J Jiang, P Lahiri - Test, 2006 - Springer
Over the last three decades, mixed models have been frequently used in a wide range of
small area applications. Such models offer great flexibilities in combining information from …

[HTML][HTML] An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

MA Talukder, MM Islam, MA Uddin, A Akhter… - Expert systems with …, 2023 - Elsevier
Brain tumors are among the most fatal and devastating diseases, often resulting in
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …

Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

MA Talukder, MM Islam, MA Uddin, A Akhter… - Expert Systems with …, 2022 - Elsevier
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …

Metaverse and healthcare: Machine learning-enabled digital twins of cancer

O Moztarzadeh, M Jamshidi, S Sargolzaei, A Jamshidi… - Bioengineering, 2023 - mdpi.com
Medical digital twins, which represent medical assets, play a crucial role in connecting the
physical world to the metaverse, enabling patients to access virtual medical services and …

[图书][B] Small area estimation

JNK Rao, I Molina - 2015 - books.google.com
Praise for the First Edition" This pioneering work, in which Rao provides a comprehensive
and up-to-date treatment of small area estimation, will become a classic... I believe that it has …

[图书][B] Small area estimation

JNK Rao - 2005 - books.google.com
An accessible introduction to indirect estimation methods, both traditional and model-based.
Readers will also find the latest methods for measuring the variability of the estimates as …

[图书][B] Linear and generalized linear mixed models and their applications

J Jiang, T Nguyen - 2007 - Springer
It has been an amazing time since the publication of the first edition, with vast changes
taking place in the fields of mixed effects models and their applications. At the time when the …

New important developments in small area estimation

D Pfeffermann - 2013 - projecteuclid.org
The problem of small area estimation (SAE) is how to produce reliable estimates of
characteristics of interest such as means, counts, quantiles, etc., for areas or domains for …

Enhancing population data granularity: A comprehensive approach using lidar, poi, and quadratic programming

X Ye, W Bai, W Wang, X Huang - Cities, 2024 - Elsevier
This research presents a sophisticated framework for the precise downscaling of population
data from census blocks to individual residential units, employing an integration of housing …