5,422 Result(s)
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Open AccessOptimal time reuse strategy-based dynamic multi-AGV path planning method
The window strategy, known for its flexibility and efficiency, is extensively used in dynamic path planning. To further enhance the performance of the Automated Guided Vehicles (AGVs) sorting system, the two p...
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Undersampling based on generalized learning vector quantization and natural nearest neighbors for imbalanced data
Imbalanced datasets can adversely affect classifier performance. Conventional undersampling approaches may lead to the loss of essential information, while oversampling techniques could introduce noise. To add...
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Topic-aware cosine graph convolutional neural network for short text classification
Graph Convolutional Network (GCN) has been extensively studied in the task of short text classification (STC), utilizing global graphs that incorporate texts at different levels of granularity to learn text em...
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Open AccessReinforced robotic bean optimization algorithm for cooperative target search of unmanned aerial vehicle swarm
Increasing attention has been given to the utilization of swarm intelligent optimization algorithms to facilitate cooperative target search of unmanned aerial vehicle swarm (UAVs). However, there exist common ...
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Block diagonal representation learning with local invariance for face clustering
Facial data under non-rigid deformation are often assumed lying on a highly non-linear manifold. The conventional subspace clustering methods, such as Block Diagonal Representation (BDR), can only handle the h...
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Open AccessKnowledgeNavigator: leveraging large language models for enhanced reasoning over knowledge graph
Large language models have achieved outstanding performance on various downstream tasks with their advanced understanding of natural language and zero-shot capability. However, they struggle with knowledge con...
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Open AccessModel inductive bias enhanced deep reinforcement learning for robot navigation in crowded environments
Navigating mobile robots in crowded environments poses a significant challenge and is essential for the coexistence of robots and humans in future intelligent societies. As a pragmatic data-driven approach, de...
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Open AccessUnraveling dislocation-based strengthening in refractory multi-principal element alloys
Refractory multi-principal element alloys (RMPEAs) draw great interest with their superior mechanical properties and extremely high melting points, yet the strengthening mechanism remains unclear. Here, we cal...
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Location Decision of Emergency Medical Supply Distribution Centers Under Uncertain Environment
To mitigate losses from public health emergencies, promptly choosing an emergency medical supply distribution center is essential. The success of rescues hinges on the center’s location. Location decision for ...
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Dual-branch feature fusion dehazing network via multispectral channel attention
Image information degradation significantly complicates single-image dehazing. Despite the noteworthy progress of learning-based methods in removing haze, many existing algorithms focus solely on haze removal ...
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Sequential attention layer-wise fusion network for multi-view classification
Graph convolutional network has shown excellent performance in multi-view classification. Currently, to output a fused node embedding representation in multi-view scenarios, existing researches tend to ensure ...
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ClKI: closed-loop and knowledge iterative via self-distillation for image sentiment analysis
Image sentiment analysis has received a lot of attention due to the fact that users prefer to express their private emotions using images on social platforms. Researchers strive to obtain more discriminative f...
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Multi-scale pyramidal hash learning for traditional building facade image retrieval
Retrieving images captured of buildings is a critical need for intelligent urban management and tourism services. The different shooting angles, locations and distances lead to images under the same building o...
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Click-through rate prediction based on feature interaction and behavioral sequence
Click-through rate prediction is one of the hot topics in the recommendation and advertising systems field. The existing click-through rate prediction models can be classified into feature interactions and beh...
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Adaptive Event-Triggered Fuzzy Control for Unreliable Networked Control Systems with Time-Varying Delay
This paper aims to investigate an adaptive event-triggered control scheme for unreliable networked control systems with data loss, transmission delay, and time-varying delay described by Takagi–Sugeno (T–S) fu...
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Time series clustering of dynamical systems via deterministic learning
A recent deterministic learning theory has achieved locally-accurate identification of unknown system dynamics. This article presents a novel application of deterministic learning theory to unsupervised learni...
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Predict industry merger waves utilizing supply network information
Predicting merger waves has been a classical yet challenging problem. In this paper, we propose approaches to predict industry merger waves relying on an integrated dataset including financial statements and s...
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Entropy based optimal scale selection and attribute reduction in multi-scale interval-set decision tables
One of the current research gaps in multi-scale data analysis is studying information systems characterized by attributes with interval sets as attribute values and multiple scales. To address this gap, we fir...
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Open AccessStrategic analysis of intelligent connected vehicle industry competitiveness: a comprehensive evaluation system integrating rough set theory and projection pursuit
As a carrier of multi-industrial technology integration and the key to industrial competition, the intelligent connected vehicle (ICV) has been taken seriously around the world. However, as a fast-growing emer...
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Open AccessAutomated design of hybrid halide perovskite monolayers for band gap engineering
The recent experimental confirmation of perovskite monolayers has sparked ongoing efforts in their prediction and synthesis, showcasing their flexible tunable band gap and potential in advanced functional devi...
