Detecting an accurate community structure is a central problem in network analysis. With the popularity of social networking sites, a community detection algorithm's performance and energy efficiency are equally vital for ...

The COVID19 pandemic, a public health emergency which broke out globally in December 2019 and is still going on, has put us all into an unprecedented situation where there are strict limitations on physical social interaction ...

This study focuses on understanding content and coherence for Automated Oral Proficiency Scoring and Feedback Generating System in the context of spontaneous speech of non-native(L2) English learners. We aim to understand ...

This paper provides an analysis of different serialization libraries on various performance and memory-related metrics. The analysis is done for different scenarios that may occur in a real world setting, in terms of ...

Political campaigns recently use social media networks as an important environment to gain visibility for causes such as policy disagreement. Users often show divided opinions on the enacted policy, which sparks intense ...

The adoption of non-pharmaceutical interventions and their surveillance is critical for detecting and stopping possible transmission routes of COVID-19. A study of the effects of these interventions in terms of adoption ...

The government of India launched the National Digital Health Mission (NDHM) initiative to make healthcare more accessible by digitizing patient data and unifying processes. We, the PHR team at TavLabs, propose implementing ...

Deforestation and loss of habitat have resulted in a rapid decline of certain species of primates in forests. On the other hand, the uncontrolled growth of a few species of primates in urban areas has led to safety issues ...

To truly unlock the advantages of extensive datasets containing individual cell information, like the transcriptome and epigenome, it's crucial to incorporate them and look for ways to label each cell. However, it's a ...

AI systems have achieved domain expert level performance in a number of healthcare tasks involving patients. However, these systems might also incorporate and amplify human biases contained in the datasets fed to them. ...