305 Result(s)
within
Engineering
Computational Intelligence
Jia **g
Article
-
Article
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications
Knowledge Graph (KG) has attracted more and more companies’ attention for its ability to connect different types of data in meaningful ways and support rich data services. However, due to privacy concerns, dif...
-
Article
Density peaks clustering algorithm based on multi-cluster merge and its application in the extraction of typical load patterns of users
The density peaks clustering (DPC) algorithm is simple in principle, efficient in operation, and has good clustering effects on various types of datasets. However, this algorithm still has some defects: (1) du...
-
Article
An evolutionary feature selection method based on probability-based initialized particle swarm optimization
Feature selection is a common data preprocessing technique that aims to construct better models by selecting the most predictive features. Existing particle swarm optimization-based feature selection algorithm...
-
Article
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...
-
Article
Feature-driven topology optimization method preserving component sequences considering turning angle constraint
Component sequence preservation is an intrinsic requirement in typical engineering applications, such as deployable chain-like structures, 3D printing structures with contour-parallel toolpaths, additive manuf...
-
Article
Automated catastrophic optical damage inspection of semiconductor laser chip based on multi-scale strip convolution aggregation
Catastrophic optical damage (COD) is one of the reasons limiting the output power and lifetime of semiconductor lasers. Nevertheless, the automatic defects inspection of the COD is a challenging task due to se...
-
Article
Open AccessReal-Time Classroom Behavior Analysis for Enhanced Engineering Education: An AI-Assisted Approach
Modern teaching has made significant progress, with many advanced equipment and technologies being introduced into the teaching process. Experimental teaching of engineering design courses is important. Due to...
-
Article
Open AccessMocFormer: A Two-Stage Pre-training-Driven Transformer for Drug–Target Interactions Prediction
Drug–target interactions is essential for advancing pharmaceuticals. Traditional drug–target interaction studies rely on labor-intensive laboratory techniques. Still, recent advancements in computing power hav...
-
Article
Predictive modeling of Loading paths for Hydroforming of bi-layered Y-shaped tubes
In this paper, a prediction model for the pressure-axial feed loading path in the hydroforming process of a bi-layered Y-shaped tube is developed. The plastic deformation behavior of the bi-layered Y-shaped tu...
-
Article
Hierarchical few-shot learning based on top-down correction mechanism with stop strategy
Few-shot learning has become an important branch of machine learning, which aims to give correct prediction information to unknown samples. Many few-shot models mostly adopt a hierarchical structure and make g...
-
Article
Open AccessCorrection: Star Generative Adversarial VGG Network-Based Sample Augmentation for Insulator Defect Detection
-
Article
Open AccessApplication of Artificial Intelligence Technology in Vulnerability Analysis of Intelligent Ship Network
The improvement in transportation efficiency, security, safety, and environmental effects may be possible due to the impending advent of autonomous ships. Automatic situational awareness, risk detection, and i...
-
Article
A robust implicit high-order discontinuous Galerkin method for solving compressible Navier-Stokes equations on arbitrary grids
The primary impediments impeding the implementation of high-order methods in simulating viscous flow over complex configurations are robustness and convergence. These challenges impose significant constraints ...
-
Article
Open AccessA hybrid model to improve IC-related metrics of semantic similarity between words
This paper proposes a hybrid model to improve Information Content (IC) related metrics of semantic similarity between words, named IC+SP, based on the essential hypothesis that IC and the shortest path are two re...
-
Article
Open AccessStar Generative Adversarial VGG Network-Based Sample Augmentation for Insulator Defect Detection
Deep learning-based automated detection of insulator defects in electric power systems is a critical technological challenge, pivotal for ensuring reliability and efficiency in the global energy infrastructure...
-
Article
A Positive Sample Enhancement Algorithm with Fuzzy Nearest Neighbor Hybridization for Imbalance Data
The class imbalance problem is one of the critical research areas of machine learning and deep learning and has received widespread attention from researchers. To solve the class imbalance problem, current typ...
-
Article
Open AccessCytopathology image analysis method based on high-resolution medical representation learning in medical decision-making system
Artificial intelligence has made substantial progress in many medical application scenarios. The quantity and complexity of pathology images are enormous, but conventional visual screening techniques are labor...
-
Article
Chemical short-range-order induced multiscale strengthening in refractory medium entropy alloys
High/medium entropy alloys (H/MEAs) are generally possible to exhibit chemical short-range order (SRO). However, the complex role of SRO on mechanical properties from nano-scale to meso-scale is still challeng...
-
Article
Open AccessAn intelligent MRI assisted diagnosis and treatment system for osteosarcoma based on super-resolution
Magnetic resonance imaging (MRI) examinations are a routine part of the cancer treatment process. In develo** countries, disease diagnosis is often time-consuming and associated with serious prognostic probl...
-
Article
Open AccessA dimension-aware gaining-sharing knowledge algorithm for distributed hybrid flowshop scheduling with resource-dependent processing time
The resource-assisted processing operation involves the coupling of multi-dimensional sub-problem, which poses a challenge in scheduling system. In this study, a dimension-aware gain-sharing knowledge algorith...
