IEEE

Data-Driven Design of Distributed Kalman Filter-Based Fault Diagnosis for Large-Scale Systems

Abstract: This article presents a data-driven distributed Kalman filter (DKF)-based fault diagnosis scheme, which can successfully detect actuator and sensor faults in large-scale dynamic systems, ...
IEEE

CIDDA: Classifier-driven Implicit Discriminator Domain Adaptation for EEG-Based Emotion Recognition and Depression Severity Grading

Abstract: Variations in electroencephalogram (EEG) signals reflect the brain’s functional activity. In the context of the affective brain-computer interface, exploring whether emotion recognition ...
Frontiers

Data-Driven Strategies for Efficient Study Planning in High-Dimensional Healthcare Omics and Biomarker Discovery

Recent advancements in systems biology have been propelled by the increasing power of omics technologies—spanning genomics, transcriptomics, proteomics, ...

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marktechpost

How to Design an Agentic Workflow for Tool-Driven Route Optimization with Deterministic Computation and Structured Outputs

In this tutorial, we build a production-style Route Optimizer Agent for a logistics dispatch center using the latest LangChain agent APIs. We design a tool-driven workflow in which the agent reliably ...