376 Result(s)
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Article
Improved randomized approaches to the location of a conservative hyperplane
This paper presents improved approaches to the treatment of combinatorial challenges associated with the search process for conservative cuts arising in disjoint bilinear programming. We introduce a new random...
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Open AccessOptimal saturated information load analysis for enhancing robustness in unmanned swarms system
Saturated information load is defined as the information received by a unmanned aerial vehicle (UAV) node in a swarm network reaches the overload limit of its processing capability. When a UAV swarm performs a...
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Article
A hybrid depression detection model and correlation analysis for social media based on attention mechanism
As a serious mental illness, depression can be extremely harmful to the physical and mental health of individuals. However, detecting depression can be challenging due to the reluctance of the depressed to act...
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A New Approach for Payoffs Distribution Based on Borda-MULTIMOORA Method Under q-Rung Interval-Valued Orthopair Fuzzy Environment
How to reasonably distribute the final payoffs to each enterprise alliance participating in cooperation is one of the hottest issues in cooperative game problems. Notably, existing scholarly investigations add...
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Power Dombi Aggregation Operators for Complex Pythagorean Fuzzy Sets and Their Applications in Green Supply Chain Management
Green supply chain management concerns the incorporation of globally sustainable methods into supply chain management techniques. The major goal is to decrease the environmental impact of the entire supply cha...
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Joint recognition for location and activity based on multidimensional features of CSI images
The joint recognition technology of location and activity, leveraging CSI (Channel State Information), finds widespread applications in domains such as human-computer interaction and smart homes, owing to the ...
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Article
Open AccessMulti-UAV pursuit-evasion gaming based on PSO-M3DDPG schemes
The sample data for reinforcement learning algorithms often exhibit sparsity and instability, making the training results susceptible to falling into local optima. Mini-Max-Multi-agent Deep Deterministic Polic...
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Article
Method of non-stationary random vibration reliability of hydro-turbine generator unit
The hydraulic excitation acting on a hydro-turbine generator unit exhibits obvious non-stationary characteristics. In order to account for these characteristics, this study focuses on the non-stationary random...
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Mechanistic investigation of gas injection treatment in a continental shale gas condensate reservoir
Low thermal evolution degree of gas and connected fracture network are key features in the continental shale gas reservoirs. When the pressure decreases lower than the dew point pressure, gas condensate dimini...
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Open AccessEnhanced Chinese named entity recognition with multi-granularity BERT adapter and efficient global pointer
Named Entity Recognition (NER) plays a crucial role in the field of Natural Language Processing, holding significant value in applications such as information extraction, knowledge graphs, and question–answeri...
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Open AccessA deep multi-branch attention model for histopathological breast cancer image classification
Since the impressive superior performance demonstrated by deep learning methods is widely used in histopathological image analysis and diagnosis, existing work cannot fully extract the information in the breas...
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Research on boundary-aware waters segmentation network for unmanned surface vehicles in complex inland waters
A speedy and reliable system detecting safe waters is essential to enable autonomous navigation of unmanned surface vessels (USVs). However, existing detection methods are prone to misidentifying trees and bui...
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Static profiles of capillary surfaces in the annular space between two coaxial cones under microgravity
In space, surface tension plays an important role and liquid behaviour is much different from that on the ground. The static capillary surfaces in the annular space between two coaxial cones under microgravity...
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Research on embedded locally resonant metamaterials used for vibration attenuation of thin-walled workpieces in mirror milling
The shell composed of large-scale parts is the essential component of mechanical structures in the aerospace, ship**, and railway industries. These workpieces are characterized by thin walls and weak rigidit...
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Article
Design and evaluation of the traveling wave piezoelectric beam actuators
Traveling wave piezoelectric beam actuators (TWPBAs) present an advantageous structural configuration for self-moving actuators and hold significant promise for operation in confined spaces. However, current r...
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Open AccessLCTCS: Low-Cost and Two-Channel Sparse Network for Hyperspectral Image Classification
Using convolutional neural networks (CNNs) in classifying hyperspectral images (HSIs) has achieved quite good results in recent years. It is widely used in agricultural remote sensing, geological exploration, ...
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Open AccessPattern Control of Neural Networks with Two-Dimensional Diffusion and Mixed Delays
In this paper, a two-neuron reaction–diffusion neural network with discrete and distributed delays is proposed, and the state feedback control strategy is adopted to achieve control of its spatiotemporal dynam...
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Negative Poisson’s ratio locally resonant seismic metamaterials vibration isolation barrier
In recent decades, the application of seismic metamaterials to protect civil infrastructures being free of the damage of earthquakes has been attracting extensive attention. Specifically, the proposed locally ...
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Open AccessMemristive crossbar-based circuit design of back-propagation neural network with synchronous memristance adjustment
The performance improvement of CMOS computer fails to meet the enormous data processing requirement of artificial intelligence progressively. The memristive neural network is one of the most promising circuit ...
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Article
Open AccessDialGNN: Heterogeneous Graph Neural Networks for Dialogue Classification
Dialogue systems have attracted growing research interests due to its widespread applications in various domains. However, most research work focus on sentence-level intent recognition to interpret user uttera...
