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Research on Multi-source Heterogeneous Data-driven Predictive Models for Aquaculture Environments in Equipment-based Marine Ranches

Focused on data decomposition, processing, modeling, and forecasting of multi-source heterogeneous fishery data for equipment-based marine ranches. The goal was to build multi-modal feature extraction and intelligent forecasting services.
CategoryParticipant
PeriodNov 2023 – Mar 2024
RoleCore Participant; participated in project proposal drafting and high-dimensional multi-parameter time series prediction model design.
Funding / ProgramNational Natural Science Foundation of China (NSFC)

Project Overview

Focused on data decomposition, processing, modeling, and forecasting of multi-source heterogeneous fishery data for equipment-based marine ranches. The goal was to build multi-modal feature extraction and intelligent forecasting services.

Contributions and Outcomes