Automatic Sign Language Recognition (ASLR) has emerged as a vital field for bridging the gap between deaf and hearing communities. However, the problem of sign-...
Multigrid methods have been a popular approach for solving linear systems arising from the discretization of partial differential equations (PDEs) for several d...
In this paper, we investigate the potential of spatial and temporal cloud workload shifting to reduce carbon, water, and land-use footprints. Specifically, we p...
This paper introduces the first publicly available dataset for Automatic Essay Scoring (AES) and feedback generation in Basque, targeting the CEFR C1 proficienc...
With this paper, we introduce RESTifAI, an LLM-driven approach for generating reusable, CI/CD ready REST API tests, following the happy-path approach. Unlike ex...
Designing and implementing distributed systems correctly can be quite challenging. Although these systems are often accompanied by formal specifications that ar...
Clinical communication is central to patient outcomes, yet large-scale human annotation of patient-provider conversation remains labor-intensive, inconsistent, ...
ML-Enabled Systems (MLES) are inherently complex since they require multiple components to achieve their business goal. This experience report showcases the sof...
We introduce QSTN, an open-source Python framework for systematically generating responses from questionnaire-style prompts to support in-silico surveys and ann...
Efficient edge caching reduces latency and alleviates backhaul congestion in modern networks. Traditional caching policies, such as Least Recently Used (LRU) an...
Predicting the outcomes of professional basketball games, particularly in the National Basketball Association (NBA), has become increasingly important for coach...
Traditionally, multithreaded data structures have been designed for access by the threads of Operating Systems (OS). However, implementations for access by prog...
