Methods for Overcoming Bias in the Analysis of Observational Data Researchers performing observational studies using registry data lack the ability to randomly assign patients to treatment (exposure) ...

(RTTNews) - Informatica (INFA), a leader in AI-driven cloud data management, announced an expanded partnership with Salesforce to integrate its Intelligent Data Management Cloud with Salesforce's ...

Abstract: Object detection based on deep learning is a popular trend, and it includes object recognition and positioning. This paper proposes a method that can accurately obtain object type and ...

The best candidate yet for the elusive Planet Nine has been spotted in two deep infrared surveys taken 23 years apart. If this mystery object really ... year in the AKARI data, because on any ...

Abstract: Deep learning ... such as data imbalance leading to poor model learning performance and difficulties in determining network parameters still exist. This paper proposes a transformer fault ...

When using the data, please cite the following paper as the data source: Ha, Jongrim, M. Ayhan Kose, and Franziska Ohnsorge (2023). "One-Stop Source: A Global Database of Inflation." Journal of ...

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years ...

From the first smiles, gurgles, and coos to learning ... name simple objects to reinforce their early speech development and model the importance of language and reading. Practice using short ...

Anomaly detection plays a critical ... sensing technologies with deep learning-based predictive models to enhance the scalability and robustness of smart farming systems. The proposed method focuses ...