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Iron-doped zinc oxide nanoparticles-triggered elicitation of important phenolic compounds in cell cultures of Fagonia indica

Plant cell, tissue and organ culture, 2021-11, Vol.147 (2), p.287-296

2021

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Artificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Cicer arietinum L)

Physiology and molecular biology of plants, 2023-02, Vol.29 (2), p.289-304

2023

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Heterologous expression of bacterial dehydrin gene in Arabidopsis thaliana promotes abiotic stress tolerance

Physiology and molecular biology of plants, 2023-09, Vol.29 (9), p.1239-1246

2023

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Deciphering the iPBS retrotransposons based genetic diversity of nanoparticles induced in Vitro seedlings of industrial hemp (Cannabis sativa L.)

Molecular biology reports, 2022-07, Vol.49 (7), p.7135-7143

2022

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Application of artificial neural network and machine learning algorithms for modeling the in vitro regeneration of chickpea (Cicer arietinum L.)

Plant cell, tissue and organ culture, 2022-07, Vol.150 (1), p.141-152

2022

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Response surface methodology and artificial intelligence modeling for in vitro regeneration of Brazilian micro sword (Lilaeopsis brasiliensis)

Plant cell, tissue and organ culture, 2024-04, Vol.157 (1), p.10, Article 10

2024

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Vehicle license plate detection using region-based convolutional neural networks

Soft computing (Berlin, Germany), 2018-10, Vol.22 (19), p.6429-6440

2018

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Synergizing LED Technology and Hydropriming for Intelligent Modeling and Mathematical Expressions to Optimize Chickpea Germination and Growth Indices

Journal of plant growth regulation, 2024-07, Vol.43 (7), p.2340-2359

2024

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Comparing quantum machine learning and classical machine learning for in vitro regeneration of cowpea (Vigna unguiculata)

Plant cell, tissue and organ culture, 2024-11, Vol.159 (2), p.32, Article 32

2024

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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.)

Environmental science and pollution research international, 2024-06, Vol.31 (29), p.42185-42201

2024

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Artificial neural network and decision tree facilitated prediction and validation of cytokinin-auxin induced in vitro organogenesis of sorghum (Sorghum bicolor L.)

Plant cell, tissue and organ culture, 2023-06, Vol.153 (3), p.611-624

2023

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Towards better insect management strategy: restriction of insecticidal gene expression to biting sites in transgenic cotton

Plant Biotechnology Reports, 2016, 10(2), , pp.83-94

2016

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Artificial neural network and decision tree–based models for prediction and validation of in vitro organogenesis of two hydrophytes-Hemianthus callitrichoides and Riccia fluitans

In vitro cellular & developmental biology. Plant, 2023-10, Vol.59 (5), p.547-562

2023

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Machine Learning and Artificial Neural Networks-Based Approach to Model and Optimize Ethyl Methanesulfonate and Sodium Azide Induced In Vitro Regeneration and Morphogenic Traits of Water Hyssops (Bacopa monnieri L.)

Journal of plant growth regulation, 2023-06, Vol.42 (6), p.3471-3485

2023

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Light-emitting diodes induced in vitro regeneration of Alternanthera reineckii mini and validation via machine learning algorithms

In vitro cellular & developmental biology. Plant, 2022-10, Vol.58 (5), p.816-825

2022

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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 molecular biology, 2024-04, Vol.114 (2), p.33-33, Article 33

2024

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Artificial neural network and decision tree–based models for prediction and validation of in vitro organogenesis of two hydrophytes—Hemianthus callitrichoides and Riccia fluitans

In vitro cellular & developmental biology. Plant, 2023-10, Vol.59 (5), p.547-562

2023

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Artificial intelligence–based approaches to evaluate and optimize phytoremediation potential of in vitro regenerated aquatic macrophyte Ceratophyllum demersum L

Environmental science and pollution research international, 2023-03, Vol.30 (14), p.40206-40217

2023

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Phosphate-solubilizing fungus (PSF) - mediated phosphorous solubilization and validation through Artificial intelligence computation

World journal of microbiology & biotechnology, 2024-12, Vol.40 (12), p.376, Article 376

2024

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iPBS-retrotransposons variations: DNA fingerprinting and the evaluation of genetic diversity and population structure in international cowpea germplasm

Genetic resources and crop evolution, 2023-08, Vol.70 (6), p.1867-1877

2023

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Finite element analysis of non-ultraviolet and ultraviolet-irradiated titanium implants

Odontology, 2024-09

2024

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Surface Energetics to Assess Biomass Attachment onto Immobilized Metal-ion Chromatography Adsorbents in Expanded Beds

Biotechnology and Bioprocess Engineering, 2009, 14(4), , pp.419-428

2009

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In Vitro Evaluation of Antioxidant, Antimicrobial, Cytotoxic, Anti-Inflammatory, Anti-Aging, Enzyme Inhibition Potential, and HPLC Analysis of Traditionally Used Plant Delphinium Uncinatum Wall

Pharmaceutical chemistry journal, 2023-10, Vol.57 (7), p.1056-1069

2023

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Targeted expression of insecticidal hybrid SN19 gene in potato leads to enhanced resistance against Colorado potato beetle (Leptinotarsa decemlineata Say) and tomato leafminer (Tuta absoluta Meyrick)

Plant Biotechnology Reports, 2017, 11(5), , pp.315-329

2017

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An insight into cotton genetic engineering (Gossypium hirsutum L.): current endeavors and prospects

Acta physiologiae plantarum, 2015-08, Vol.37 (8), Article 171

2015

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Iron-doped zinc oxide nanoparticles-triggered elicitation of important phenolic compounds in cell cultures of Fagonia indica

Artificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Cicer arietinum L)

Heterologous expression of bacterial dehydrin gene in Arabidopsis thaliana promotes abiotic stress tolerance

Deciphering the iPBS retrotransposons based genetic diversity of nanoparticles induced in Vitro seedlings of industrial hemp (Cannabis sativa L.)

Application of artificial neural network and machine learning algorithms for modeling the in vitro regeneration of chickpea (Cicer arietinum L.)

Response surface methodology and artificial intelligence modeling for in vitro regeneration of Brazilian micro sword (Lilaeopsis brasiliensis)

Vehicle license plate detection using region-based convolutional neural networks

Synergizing LED Technology and Hydropriming for Intelligent Modeling and Mathematical Expressions to Optimize Chickpea Germination and Growth Indices

Comparing quantum machine learning and classical machine learning for in vitro regeneration of cowpea (Vigna unguiculata)

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.)

Artificial neural network and decision tree facilitated prediction and validation of cytokinin-auxin induced in vitro organogenesis of sorghum (Sorghum bicolor L.)

Towards better insect management strategy: restriction of insecticidal gene expression to biting sites in transgenic cotton

Artificial neural network and decision tree–based models for prediction and validation of in vitro organogenesis of two hydrophytes-Hemianthus callitrichoides and Riccia fluitans

Machine Learning and Artificial Neural Networks-Based Approach to Model and Optimize Ethyl Methanesulfonate and Sodium Azide Induced In Vitro Regeneration and Morphogenic Traits of Water Hyssops (Bacopa monnieri L.)

Light-emitting diodes induced in vitro regeneration of Alternanthera reineckii mini and validation via machine learning algorithms

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.)

Artificial neural network and decision tree–based models for prediction and validation of in vitro organogenesis of two hydrophytes—Hemianthus callitrichoides and Riccia fluitans

Artificial intelligence–based approaches to evaluate and optimize phytoremediation potential of in vitro regenerated aquatic macrophyte Ceratophyllum demersum L

Phosphate-solubilizing fungus (PSF) - mediated phosphorous solubilization and validation through Artificial intelligence computation

iPBS-retrotransposons variations: DNA fingerprinting and the evaluation of genetic diversity and population structure in international cowpea germplasm

Finite element analysis of non-ultraviolet and ultraviolet-irradiated titanium implants

Surface Energetics to Assess Biomass Attachment onto Immobilized Metal-ion Chromatography Adsorbents in Expanded Beds

In Vitro Evaluation of Antioxidant, Antimicrobial, Cytotoxic, Anti-Inflammatory, Anti-Aging, Enzyme Inhibition Potential, and HPLC Analysis of Traditionally Used Plant Delphinium Uncinatum Wall

Targeted expression of insecticidal hybrid SN19 gene in potato leads to enhanced resistance against Colorado potato beetle (Leptinotarsa decemlineata Say) and tomato leafminer (Tuta absoluta Meyrick)

An insight into cotton genetic engineering (Gossypium hirsutum L.): current endeavors and prospects

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