- 2025-02-09Research on citrus leaf disease detection based on improved SEDS-YOLOv8 model with efficient multi-scale attention and multi-level channel compression
- 2025-02-09Research on Cargo Volume Prediction and Personnel Scheduling in Logistics Centers
- 2025-02-09Interference and precursor signal analysis based on random forest and improved logistic regression model
- 2025-01-22Analysis of Mining Equipment Procurement Plan and Logistics Path Optimization Based on QUBO Model
- 2025-01-09Prediction of pancreatic cancer risk pathways based on multiple omics
- 2025-01-09Logistics sorting cargo volume prediction and personnel scheduling optimization based on ARIMA
- 2025-01-09Research on path and energy consumption control of six-axis manipulator based on multi-objective optimization method
- 2025-01-09Prediction of pancreatic cancer risk pathways based on multiple omics
- 2025-01-09Research on path and energy consumption control of six-axis manipulator based on multi-objective optimization method
- 2025-01-09Volume forecast of e-commerce sorting center based on adaptive hybrid ARIMA-LSTM and fuzzy logic
- 2025-01-09New Technology of Permanent Magnet Vernier Hub Motor in Vehicles
- 2025-01-09Logistics center cargo volume adjustment and personnel optimization based on data analysis
- 2025-01-09Prediction of rock burst risk in deep coal mining based on time-frequency domain analysis
- 2025-01-09Early warning and detection of rock burst signal in coal mine
- 2025-01-09Weld X-ray image defect recognition based on deep learning
- 2025-01-09Logistics sorting cargo volume prediction and personnel scheduling optimization based on ARIMA
- 2024-09-30Design and optimization of optimal performance allocation scheme based on multi-objective optimization model
- 2024-09-30Risk assessment of new quality productivity technology based on analytic hierarchy process and SWOT analysis
- 2024-09-30Research on performance evaluation of scientific research staff based on entropy weight - TOPSIS method
- 2024-09-30Stock price prediction study based on LSTM and random forest model
