Machine learning (ML) algorithms and artificial neural network for optimizing in vitro germination and growth indices of industrial hemp (Cannabis sativa L.)
In vitro germination of hemp is challenging due to low germination and high contamination
rates. Successful establishment of in vitro sterilization is the prerequisite of plant tissue …
rates. Successful establishment of in vitro sterilization is the prerequisite of plant tissue …
Application of artificial neural network and machine learning algorithms for modeling the in vitro regeneration of chickpea (Cicer arietinum L.)
In vitro whole plant regeneration protocol of desi chickpea was established followed by
generating the model prediction using different machine learning algorithms. Surface …
generating the model prediction using different machine learning algorithms. Surface …
Artificial intelligence–based approaches to evaluate and optimize phytoremediation potential of in vitro regenerated aquatic macrophyte Ceratophyllum demersum L.
Water bodies or aquatic ecosystem are susceptible to heavy metal accumulation and can
adversely affect the environment and human health especially in underdeveloped nations …
adversely affect the environment and human health especially in underdeveloped nations …
Computing artificial neural network and genetic algorithm for the feature optimization of basal salts and cytokinin-auxin for in vitro organogenesis of royal purple …
This study presents the in vitro regneration protocol for Royal purple [(Cotinus coggygria
Scop.(syn.: Rhus cotinus L.)] from nodal segment explants followed by optimizing the input …
Scop.(syn.: Rhus cotinus L.)] from nodal segment explants followed by optimizing the input …
Machine learning and artificial neural networks-based approach to model and optimize ethyl methanesulfonate and sodium azide induced in vitro regeneration and …
Application of chemical mutagens is used for artificially induced in vitro mutation to develop
new cultivars with elite characteristics. However, the optimization of selecting proper …
new cultivars with elite characteristics. However, the optimization of selecting proper …
Light-emitting diodes induced in vitro regeneration of Alternanthera reineckii mini and validation via machine learning algorithms
Optimization of in vitro regeneration protocol using multiple input variables is highly
significant, and can be achieved by validating the data using machine learning algorithms …
significant, and can be achieved by validating the data using machine learning algorithms …
Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network
Agricultural product quality assessment is crucial for determining marketability and
managing waste. It helps ensure that products meet industry standards and consumer …
managing waste. It helps ensure that products meet industry standards and consumer …
[PDF][PDF] Hyperparameter tunning and feature selection methods for malware detection
Smartphones have started to take an essential place in every aspect of our lives with the
developing technology. All kinds of transactions, from daily routine work to business …
developing technology. All kinds of transactions, from daily routine work to business …
[HTML][HTML] Visualization-based prediction of dendritic copper growth in electrochemical cells using convolutional long short-term memory
Electrodeposition in electrochemical cells is one of the leading causes of its performance
deterioration. The prediction of electrodeposition growth demands a good understanding of …
deterioration. The prediction of electrodeposition growth demands a good understanding of …
Comparing quantum machine learning and classical machine learning for in vitro regeneration of cowpea (Vigna unguiculata)
Plant biotechnology is a key component of plant breeding which employs biotechnological
tools like plant tissue culture for genetic engineering, genome editing, or other techniques. In …
tools like plant tissue culture for genetic engineering, genome editing, or other techniques. In …