517 Result(s)
within
**-**a Ding
Artificial Intelligence
Computational Intelligence
-
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...
-
Article
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...
-
Article
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...
-
Article
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 ...
-
Article
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...
-
Article
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, ...
-
Article
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...
-
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...
-
Article
A Hybrid Framework for Selecting Food Waste Treatment Techniques Using q-Rung Orthopair Fuzzy CRITIC-Generalized TODIM Method
Evaluation and prioritization are indispensable for selecting the appropriate FWTT (food waste treatment technique). Previous research shows that the decision methods are suitable for selecting FWTTs. Neverthe...
-
Article
A Novel Dynamic Event-Triggered Dissipative Filtering for T–S Fuzzy Systems with Asynchronous Constraints
This paper investigates the problem of dynamic event-triggered dissipative filtering for T–S fuzzy systems. First, a novel dynamic event-triggered mechanism (DETM) is proposed to save communication resources, ...
-
Article
Adversarial graph node classification based on unsupervised learning and optimized loss functions
The research field of this paper is unsupervised learning in machine learning, aiming to address the problem of how to simultaneously resist feature attacks and improve model classification performance in unsu...
-
Article
Better value estimation in Q-learning-based multi-agent reinforcement learning
In many real-life scenarios, multiple agents necessitate cooperation to accomplish tasks. Benefiting from the significant success of deep learning, many single-agent deep reinforcement learning algorithms have...
-
Article
Establishing a soil carbon flux monitoring system based on support vector machine and XGBoost
Soil carbon fluxes are pivotal indicators of climate impacts, yet field-level monitoring remains challenging. This study puts forth an innovative integrated framework coupling support vector machine (SVM) and ...
-
Article
A Hesitant Fuzzy Linguistic TODIM Model and Its Application on the Behavior of Ship Water Pollutant Receiving Facility Selection
The hesitant fuzzy linguistic term sets (HFLTSs) are capable of accurately capturing decision makers’ subjective characteristics, thereby resolving the issue of uncertain ambiguity in decision-making concernin...
-
Article
TCNet: tensor and covariance attention network for semantic segmentation
Non-local network provides a pioneering approach for capturing long-range dependency by aggregating query-specific global context into each query location; however, non-local network applies the identical weig...
-
Article
LEFSA: label enhancement-based feature selection with adaptive neighborhood via ant colony optimization for multilabel learning
To date, multilabel learning has garnered attention increased from scholars and has a significant effect on practical applications; however, most feature selection models with classification margin cannot full...
-
Chapter
Exploring the Influence of Guangdong Culture on Consumer Attitudes in Online Shop**
Guangdong culture as a significant influencing factor, plays a certain moderating role in consumer attitudes toward online shop**. The unique cultural background of Guangdong, encompassing its values and soc...
-
Chapter and Conference Paper
Prediction of Gas-Liquid Flow Parameters in Pipes Based on Physics-Informed Neural Network
Gas-liquid two-phase flow is a prevalent phenomenon in unmanned industrial settings, and understanding the vortex behavior in pipes is crucial for its analysis and prediction. The occurrence of vortex is intri...
-
Chapter and Conference Paper
Model Predictive Control Based on Dynamic Event-Triggered Mechanism for DC-DC Buck Converters
The article proposes a dynamic event-triggered model predictive control (DET-MPC) method is proposed for DC-DC converters. The model prediction is executed once the trigger condition is met, and subsequently, ...
-
Article
A teaching management system for physical education in colleges and universities using the theory of multiple intelligences and SVM
The level and style of teaching management have been continuously updated and enhanced as part of China's educational system reform in recent years. A new era of individualized learning and teaching administra...
