Profil bibliographique

Sandhya Saroha

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

5Publications signalées

16Citations signalées

1Affiliations récentes

Les institutions déclarées

Les domaines associés

Plant Pathogens and ResistanceFungal Plant Pathogen ControlPlant Stress Responses and ToleranceSpeech Recognition and SynthesisPhotosynthetic Processes and Mechanisms

Les publications récentes

2025 article OpenAlex

Development of Or-gene-based co-dominant markers and their utilization in marker-assisted breeding for ß-carotene biofortification in different maturity groups of cauliflower

Shrawan Kumar Singh, Vinay Verma, Bhagchand Shivran, Rahul Kumar Meena et autres

in (code pays fourni par la source)

1 citation Theoretical and Applied Genetics

2023 article OpenAlex

Screening wild Brassica species against Alternaria brassicicola (Schw.) Wiltsh for breeding Alternaria leaf spot resistance in Brassica vegetables

Shrawan Kumar Singh, Sushma Sagar, Mahesh N. Rao, Sandhya Saroha et autres

in (code pays fourni par la source)

4 citations Genetic Resources and Crop Evolution

2023 article OpenAlex

Dietary micronutrient content, heterosis and combining ability for breeding mineral-rich hybrids in early- and mid-maturity groups of Indian cauliflower

Geeta P. Karigar, Shrawan Kumar Singh, Manisha Mangal, Sandhya Saroha et autres

in (code pays fourni par la source)

8 citations Scientia Horticulturae

Accès ouvert 2022 preprint OpenAlex

Screening Wild Brassica Species Against Alternaria Brassicicola (Schw.) Wiltsh for Breeding Alternaria Leaf Spot Resistance in Brassica Vegetables

Shrawan Kumar Singh, Sushma Sagar, Mahesh N. Rao, Sandhya Saroha et autres

in (code pays fourni par la source)

3 citations Research Square

2014 conference-paper OpenAlex

A three stage hybrid model to perform feature level speech signal recognition

Sandhya Saroha, Anil Kumar

In this paper, a three stage improved speech signal recognition model is presented. The presented approach improved the recognition process by reducing the process time and to provide robust speech recognition. In first layer of presented model, the feature extraction from speech …

0 citations

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