AGATE
发表于 2025-3-25 06:11:23
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Alpha-Cells
发表于 2025-3-25 08:53:46
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kindred
发表于 2025-3-25 14:36:12
A Multi-scale Feature Fusion Method for Demand Forecasting in Supply Chain Managementing its inherent heterogeneity and failing to extract valuable features. In response, we introduce a novel approach called Multi-Scale Feature Fusion Approach with Attention Mechanisms (MO-MSA) for supply chain product demand forecasting. MO-MSA leverages the distinctive characteristics of historica
繁荣地区
发表于 2025-3-25 16:30:27
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步履蹒跚
发表于 2025-3-25 22:50:46
Intelligent Monitoring Method for Gear Grinding Machine Spindle Based on Multi-source Information Fuare widespread anomalies in grinding processes that affect tooth surface accuracy and load-bearing capacity due to unreasonable process parameters, grinding wheel threshing, and other reasons, such as tooth surface burns, off center grinding, and vibration lines. In response to the problems of fault
粘土
发表于 2025-3-26 02:20:53
Research on Improving ResNet18 for Classifying Complex Images Based on Attention Mechanism cluttered backgrounds and unclear feature is limited. This article focused on the relatively shallow residual network ResNet18, and added attention mechanism to improve the network’s performance in learning and classifying complex images. Compared to others who added attention mechanisms to the mai
puzzle
发表于 2025-3-26 04:29:14
A Framework for Automated Generation of Transmission Processes Based on Kinetic Knowledge Mappingnd inflexible manufacturing process make it difficult to balance the production efficiency and personalized demand of transmission customization. This paper proposes a transmission process automation generating framework based on the combination of dynamic and static knowledge mapping, firstly, we c
荒唐
发表于 2025-3-26 10:42:59
Intelligent Optimization Methods for Unmanned Cluster Delivery Support Task Allocationtion issues of unmanned platforms, aiming to improve the military’s material support capability during wartime. Firstly, a VRPTW model based on unmanned platform delivery was constructed, considering the limitations of the unmanned platform’s endurance mileage, rated load capacity, and intermediate
Aspirin
发表于 2025-3-26 15:01:37
Knowledge-Specific Reinforcement Learning for Job-Shop Scheduling with Dynamic Processing States in een applied to the job-shop scheduling problem in disassembly factories. However, dynamic factors and unbalanced waste type distributions might influence the machine utilization rate. We proposed a reinforcement learning-based disassembly job-shop scheduling method to optimize the dynamic scheduling
DEFER
发表于 2025-3-26 19:25:26
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