Abstract: Diagnosis is an essential subject for the reliability of multiprocessor systems. Under the PMC diagnosis model, Dahbura and Masson [12] proposed a polynomial-time algorithm with time ...

Abstract: This paper investigates the discovery of conditional functional dependencies (CFDs). CFDs are a recent extension of functional dependencies (FDs) by supporting patterns of semantically ...

TL;DR Agentic lead generation structures replace legacy scraping workflows with automated intent-tracking and continuous ...

In this paper, we investigate a new point of view in addressing single image de-raining problem. Instead of focusing only on deciding what is a good prior or a good framework to achieve good ...

Business owners today face mounting pressure to do more with less while maintaining competitive advantage. Marketing and ...

Retailers, platforms, and service providers continue to operate in a rigorous enforcement and litigation environment around pricing practices ...

In our recent paper, we propose VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. Several recent end-to-end text-to-speech (TTS) models enabling single ...

Community, mentorship, and networks are reshaping the music industry as organizations like Girls Who Listen redefine access ...

On April 1, 2026, the Commission d’accès à l’information du Québec (CAI) decided that Metro Inc.’s pilot project (using facial recognition and a ...