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In the realm of time series forecasting (TSF), it is imperative for models to adeptly discern and distill hidden patterns within historical time series data to forecast future states. Transformer-based models exhibit formidable efficacy in TSF, ...

• Define the resilience and resilient scheduling of manufacturing systems.
• Propose a resilient scheduling framework against robot failures.
• Present a proactive scheduling method to enhance the resistance capability.
• Explore an ...

With the development of intelligent manufacturing, robots are being increasingly applied in manufacturing systems due to their high flexibility. To avoid production disruptions caused by robot failures, higher requirements are imposed on the ...

A complementary item is an item that pairs well with another item when consumed together. In the context of e-commerce, providing recommendations for complementary items is essential for both customers and stores. Current models for suggesting ...

Empathetic Response has been a significant proportion of natural language processing research. Large Language Models (LLMs) have shown great potential in generating empathetic responses. But currently, many research only use a single LLM to ...

Emotional Support Conversation (ESC) is a typical dialogue that can effectively assist the user in mitigating emotional pressures. However, owing to the inherent subjectivity involved in analyzing emotions, current non-artificial methodologies ...

At present, the scale of college student party members is on the rise year by year, the active applicants, probationary party members and full party members are gradually increasing, and the pressure in the field of student party members management is ...

The long-term behavior of low regularity solutions to the damped BBM equation with a distribution force on the torus is studied. Since the energy equation fails to hold for the low regularity solutions, the existence of a bounded absorbing set is ...

• Define the multi-robot multi-station welding flow shop rescheduling problem.
• Propose a closed-loop rescheduling framework.
• Explore the adaptive trigger policy based on deep reinforcement learning.
• Raise an improved artificial ...

Multi-robot multi-station manufacturing system has gained significant popularity in welding workshop for processing large jobs. The implementation of cooperative welding robots effectively enhances the efficiency and flexibility of the system. ...

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• Our AI-based monitoring technology identified honeybees with pollen accurately.
• Mechanistic simulations showed the underlying reason for pollen foraging reduction.
• Pollen foragers spent significantly more time completing their ...

Honeybees (Apis mellifera) as pollinators are of economic and ecological importance to global agriculture and natural ecosystems. However, honeybees are being threatened by highly effective pesticides such as neonicotinoids, which can have ...

Point cloud compression is a pivotal technology for efficient storage and transmission of 3D point cloud data, which has significant implications for practical applications in virtual reality, autonomous driving, and cultural heritage preservation. In ...

In the face of the urgent need of dual carbon target, severe external environment and the development demands of power grid companies themselves, scientific evaluation of the investment value of power grid emerging business is an important prerequisite ...

• Real time measurement of droplet coverage and deposition with capacitive sensor.
• In-depth theory analysis and verification of droplet measurement with capacitive sensor.
• Droplet coverage and deposition real time measurement with ...

Droplet deposition and coverage real-time measuring with capacitive sensor could provide valuable information for pesticide application. This article firstly built a mathematical model and elaborated the theoretical basis of the droplet coverage ...

With the rapid development of consumer electronics and communication technology, a large amount of data is generated from end users at the edge of the networks. Modern recommendation systems take full advantage of such data for training their various ...

Skin cancer diagnosis often relies on image segmentation as a crucial aid, and a high-performance segmentation can lower misdiagnosis risks. Part of the medical devices often have limited computing power for deploying image segmentation ...

• Proposing a lightweight yet high-performance framework for skin disease segmentation.
• Proposing an attention module with outstanding capabilities in both global and local modeling.
• Demonstrating a substantial reduction of the ...

Gait recognition is a biometric technology based on the human walking state. Unlike other biometric technologies, gait recognition can be used for remote recognition and the human walking pattern cannot be imitated. Gait recognition has wide ...

This paper proposes a low-complexity neural network decoder based on the layered min-sum algorithm to decode cyclic codes. By generalizing the layered min-sum algorithm to its neural network counterpart, the number of network weights decreases ...

• Impact energy relationship with drum rotation speed found by theoretical analysis.
• Theoretical formula revised by high-speed photography test.
• Evaluation index of relationship between absorbed energy & impact force found.
• ...

To analyze the severe mechanical damage of Fritillaria ussuriensis Maxim (FUM) during drum screening, the sliding speed of the FUM lifting plate, maximum separation angle of the lifting plate, falling height corresponding to the maximum ...

In computer-assisted intravascular interventional surgery, extracting detailed information of target vessels from X-ray angiographic images can be meaningful in improving safety and effectiveness. However, large amounts of effort have been dedicated to ...

Sequential recommendation requires understanding the dynamic patterns of users' behaviors, contexts, and preferences from their historical interactions. While most research emphasizes item-level user-item interactions, they often overlook underlying ...

Sequential recommendation aims to model dynamic user behavior from historical interactions. Existing methods rely on either explicit item IDs or general textual features for sequence modeling to understand user preferences. While promising, these ...