Predicting minor nutrient requirements of hazelnut shoot cultures using regression trees

Comparison of the Predictive Capabilities of Several Data Mining Algorithms and Multiple Linear Regression in the Prediction of Body Weight by Means of Body Measurements in the Indigenous Beetal Goat of Pakistan

(2017) Ecevit Eyduran et al.   PAKISTAN JOURNAL OF ZOOLOGY

Developing hazelnut tissue culture medium free of ion confounding

(2017) Meleksen Akin et al.   PLANT CELL TISSUE AND ORGAN CULTURE

Modeling some mineral nutrient requirements for micropropagated wild apricot shoot cultures

(2017) Irina Y. Kovalchuk et al.   PLANT CELL TISSUE AND ORGAN CULTURE

Use of RSM and CHAID data mining algorithm for predicting mineral nutrition of hazelnut

(2016) Meleksen Akin et al.   PLANT CELL TISSUE AND ORGAN CULTURE

Modeling Bus Dwell Time with Decision Tree-Based Methods

(2015) Soroush Rashidi et al.   TRANSPORTATION RESEARCH RECORD

Design of tissue culture media for efficient Prunus rootstock micropropagation using artificial intelligence models

(2014) Esmaeil Nezami Alanagh et al.   PLANT CELL TISSUE AND ORGAN CULTURE

Minor nutrients are critical for the improved growth of Corylus avellana shoot cultures

(2014) Charles Hand et al.   PLANT CELL TISSUE AND ORGAN CULTURE

Modeling optimal mineral nutrition for hazelnut micropropagation

(2014) Charles Hand et al.   PLANT CELL TISSUE AND ORGAN CULTURE

Improving in vitro mineral nutrition for diverse pear germplasm

(2013) Barbara M. Reed et al.   IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY-PLANT

Comparison of multilabel classification models to forecast project dispute resolutions

(2012) Jui-Sheng Chou   EXPERT SYSTEMS WITH APPLICATIONS

Improving knowledge of plant tissue culture and media formulation by neurofuzzy logic: A practical case of data mining using apricot databases

(2011) Jorge Gago et al.   JOURNAL OF PLANT PHYSIOLOGY

A data-driven approach for steam load prediction in buildings

(2009) Andrew Kusiak et al.   APPLIED ENERGY

Artificial neural networks as an alternative to the traditional statistical methodology in plant research

(2009) J. Gago et al.   JOURNAL OF PLANT PHYSIOLOGY