A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

Abstract: Smart inverters are vital to the functioning and stability of contemporary microgrids (MG). Nevertheless, their growing dependence on digital communication and control exposes them to ...

Abstract: Semantic segmentation is pivotal in autonomous train perception, significantly impacting the system’s intelligence and reliability. However, its performance in railway scenes is hindered by ...

One year ago, Sam Altman, the C.E.O. of OpenAI, made a bold prediction: “We believe that, in 2025, we may see the first AI agents ‘join the workforce’ and materially change the output of companies.” A ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

Fifty years ago money moved at the speed of mail. When one of us (Larry) started his career in 1976, trades were placed over the phone and settled with paper certificates sent by courier. In 1977 a ...

Urban Economies reflect how their residents get around. And before long, that will start to change—more dramatically than at any time since the automobile was invented over a century ago. The ...

The module includes both a Python library and a REST API server for remote wavelet analysis. Sample scripts (sample.py, sample_xwt.py) illustrate library usage, while the server enables integration ...

The experimental ultrasound data is always trained by measurement errors, internal and external noise. For this reason, it is always necessary to apply some signal processing operations, such as ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...