Výsledky vyhledávání - "Prahallad, A"

Report

Unlocking Thermoelectric Potential: A Machine Learning Stacking Approach for Half Heusler Alloys

Thermoelectric properties of Half Heusler alloys are predicted by adopting an ensemble modelling approach, specifically the stacking model integrated using Random Forest and XGBoost scheme. Leveraging a diverse dataset encompassing thermal conductivi

Externí odkaz: http://arxiv.org/abs/2408.00466

Zobrazit plný text záznamu

Report

Advancements in Tuning Thermoelectric Properties: Insights from Hybrid Functional Studies, Strain Engineering, and Machine Learning Models

Autor: E, Vipin K, Padhan, Prahallad

Thermoelectric properties in topological insulator Bi2Se3 are explored with multifaceted strategies, i.e., hybrid functional with strain and artificial intelligence methodology. The assessment with the experimental band gap values recognises the limi

Externí odkaz: http://arxiv.org/abs/2407.19241

Zobrazit plný text záznamu

Report

Significance of Chain of Thought in Gender Bias Mitigation for English-Dravidian Machine Translation

Autor: Prahallad, Lavanya, Mamidi, Radhika

Gender bias in machine translation (MT) sys- tems poses a significant challenge to achieving accurate and inclusive translations. This paper examines gender bias in machine translation systems for languages such as Telugu and Kan- nada from the Dravi

Externí odkaz: http://arxiv.org/abs/2405.19701

Zobrazit plný text záznamu