Pair continuous operating telemetry with annotated state changes to evaluate next-stage state prediction for sodium-ion energy storage systems.

Train and evaluate non-cooperative target motion models with dynamics-simulated trajectories and verifiable prediction targets.

Combine multi-window telemetry and control commands to detect CSP plant state transitions and predict the next operating state.

Combine metrics, logs, traces, and deployment events to predict how service health will change next.

The Transmission Line Vegetation Hazard Prediction Image Dataset is used to enhance the efficiency of vegetation management around transmission lines in the energy sector.

Train world models to understand complex underwater interactions with state changes and control feedback across the full docking sequence.

A video dataset to enhance the performance of highway visibility estimation models under adverse weather conditions.

Evaluate the stability and state-prediction capability of AR garment tracking with simulated motion, viewpoint changes, state labels, and recovery metrics.

Explore how two-stream workloads and window settings affect join state growth, memory pressure, and output rate.

Evaluate state prediction, dynamics consistency, and safety boundaries for servicing robots under simulated actuator faults.

Explore how three-dimensional ocean currents shape underwater glider motion with continuous simulation samples for state prediction and control research.

Explore HDD and SSD wear trends, health degradation risk, and estimated remaining life through workload and telemetry time series.

The ETT time series dataset provides high-quality data support for electric transformer temperature prediction.

Explore robot state-action-next-state sequences under thruster faults and actuation delays to develop more fault-aware dynamics models.

Explore underwater localization under partial observability with simulated multi-sensor readings, availability masks, and ground-truth state references.

A time series dataset covering the overall situation of influenza cases in the United States from 2002 to 2021.

Trace key events from purchase requisition through payment to support next-event prediction and procurement state-transition modeling.

Trace structural response from member failure to progressive collapse and support collapse assessment and intervention strategy training.

Connect crack evolution, structural damage, and repair outcome assessment to help models learn verifiable maintenance decisions for concrete structures.

Explore simulated checkpoint trajectories to predict lifecycle states, alignment backlog, risk, and runtime impact in streaming jobs.