In response to India’s National Digital Health Mission (NDHM), TavLabs has innovatively enhanced its PHR platform by integrating a Mental Health Integration feature, designed to support and prioritize mental well-being. ...

Image-Text Retrieval (ITR) is the task of retrieving an image from a corresponding textual description and/or a textual description from the corresponding image. Person Re-Identification (Person Re-ID) is a downstream task ...

With the introduction of the EU’s GDPR in 2017, lawmakers have emphasized the importance of algorithmic decisions being explainable to people affected by those decisions. This has led to a major focus being put on Explainable ...

This study addresses the critical issue of antimicrobial resistance (AMR) in Escherichia coli through machine learning techniques. Our methodology includes using already available E.coli strains that are susceptible and ...

In recent years, the censorship measures taken by various countries have introduced large-scale and sophisticated apparatuses to prevent citizens from accessing the internet freely. Numerous efforts have been made in this ...

In an era marked by unprecedented data growth and pervasive digital influence, ensuring model privacy is imperative as machine learning models gain prominence in diverse domains like healthcare, finance, and business. ...

Neurodegenerative diseases pose a significant global health challenge, necessitating innovative approaches for drug discovery. This study explores the application of recurrent neural networks (RNNs) in the generation of ...

Despite the widespread adoption, there is a lack of research into how various critical aspects of LLMs affect their performance in hate speech detection. Through five research questions, our findings and recommendations ...

With the constant widespread of computing devices, improving the efficiency of tasks has increasingly significant ramifications towards decreasing the power consumption, and reducing the overall cost toward operation of ...

Numerous policies have been implemented without thorough impact analysis. We focus on evaluating the effectiveness of reservation in uplifting the Scheduled Castes (SC) and Scheduled Tribes (ST) communities. In this study, ...