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Ankita

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Open access Aug 2026

A Study of the Relationship between Employees’ AI Knowledge and Their Readiness to Adopt Artificial Intelligence in the Workplace

Artificial intelligence is becoming increasingly relevant to workplace activities, yet its successful use depends partly on whether employees understand the technology and feel prepared to work with it. The present study examined the relationship between employees’ AI knowledge and their readiness to adopt artificial i...

Ankita · 0 citations
Open access Jul 2026

Genetic Variability, Character Association, and Path Coefficient Analysis for Yield and Grain Quality Traits in Indian Basmati Rice (Oryza sativa L.) Genotypes

Basmati rice (Oryza sativa L.) occupies a unique position in global agricultural trade, prized for its distinctive aroma, superior milling recovery, and extra-long slender grains. However, simultaneously improving grain yield and premium quality attributes remains one of the most persistent challenges in basmati breedi...

Ankita, Rakesh Kumar, Sudhir Sharma et al. · 0 citations
2025

Comparative evaluation of propofol or etomidate induction in dexmedetomidine - glycopyrrolate - butorphanol premedicated brachycephalic dogs

Etomidate demonstrated superior cardiovascular stability and recovery quality, indicating that it may be the preferred induction agent in brachycephalic dogs to optimize anaesthetic safety and outcomes.

Deepti Sharma, Ribha Bhalru, Adarsh Kumar et al. · 0 citations
Open access Aug 2026

Impact of Organic Sources of Nutrients and Plant Growth Promoting Microorganisms on Yield, Soil Fertility and Economics of Elephant Foot Yam [Amorphophallus paeoniifolius (Dennst.) Nicolson]

A field experiment was conducted during the 2024–2025 kharif season at the Experimental Farm of the Department of Vegetable Science, College of Horticulture and Forestry, Neri, Hamirpur, Himachal Pradesh, to assess the effects of organic nutrient sources and plant growth-promoting microorganisms on soil fertility, corm...

Kashish Rawat, Santosh Kumari, Ankita · 0 citations
Conference Jul 2026

Adapting Whisper Models Using LoHA for Robust Recognition of Children's Speech

Fine-tuning of large pre-trained models, such as Whisper, has gained prominence in the area of speech processing. Since full fine-tuning requires a large amount of data as well as high-ended computational resources, parameter efficient fine-tuning (PEFT) has been the preferred choice among researchers. During the past...

Ankita, S. Shahnawazuddin · 0 citations

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