Abstract: This study proposes an integrated NLP and DSL framework to enhance data query and mining in the tobacco industry. Traditional query methods face efficiency and accuracy challenges when ...

Abstract: Efficiently retrieving relevant data from massive Internet of Things (IoT) networks is essential for downstream tasks such as machine learning. This paper addresses this challenge by ...

Small business owners know that managing data efficiently is crucial for competitive advantage, especially as the volume of data continues to swell and AI-driven solutions become more integral to ...

Data points to heavier AI Overview presence in commercial search. Broader studies report lower rates because they include more query types. The gap shows why AI Overview tracking depends on what gets ...