Scientific Research Publishing

A Review of Data-Driven Prediction of Undesirable Events in Offshore Oil Wells

The production and operation of offshore oil wells present typical characteristics of strong coupling, high nonlinearity, obvious time-varying behavior, and high operational risks. The occurrence of ...
IEEE

FD-TE Diagnosis: Enhancing Microservice Fault Diagnosis With Frequency Domain Features and Centrality-Aware Time Encoding

Abstract: Fault diagnosis in microservice systems requires high availability, driving research towards multimodal learning that leverages heterogeneous monitoring data, including logs, metrics, and ...
Tech Times

GPT-Rosalind Drug Discovery Update: OpenAI Cuts Genomics Compute, Expands Global Access

GPT-Rosalind drug discovery capabilities updated June 3 with three new benchmarks showing the domain-specialized model cuts ...
IEEE

Anomaly Detection In Time Series Data Using Reinforcement Learning, Variational Autoencoder, and Active Learning

Abstract: A novel approach to detecting anomalies in time series data is presented in this paper. This approach is pivotal in domains such as data centers, sensor networks, and finance. Traditional ...