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1.
Artificial intelligence models for validating and predicting the impact of chemical priming of hydrogen peroxide (H2O2) and light emitting diodes on in vitro grown industrial hemp (Cannabis sativa L.).
Plant Mol Biol
; 114(2): 33, 2024 Mar 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-38526768
2.
Artificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Cicer arietinum L).
Physiol Mol Biol Plants
; 29(2): 289-304, 2023 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-36875725
3.
A unified framework of response surface methodology and coalescing of Firefly with random forest algorithm for enhancing nano-phytoremediation efficiency of chromium via in vitro regenerated aquatic macrophyte coontail (Ceratophyllum demersum L.).
Environ Sci Pollut Res Int
; 31(29): 42185-42201, 2024 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-38862799
4.
Artificial intelligence-based approaches to evaluate and optimize phytoremediation potential of in vitro regenerated aquatic macrophyte Ceratophyllum demersum L.
Environ Sci Pollut Res Int
; 30(14): 40206-40217, 2023 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-36607572
5.
Innovation in the Breeding of Common Bean Through a Combined Approach of in vitro Regeneration and Machine Learning Algorithms.
Front Genet
; 13: 897696, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-36092939
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