705 Result(s)
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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...
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Article
Rb-based: link prediction based on the resource broadcast of nodes for complex networks
During the process of link prediction, traditional resource allocation methods only consider the influence of common neighbor nodes as transmission paths, while ignoring the impact of the effective resource am...
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Article
Open AccessIntelligent Conceptual Design of Railway Bridge Based on Graph Neural Networks
In the conceptual design stage of railway bridge, the beam type of the bridge at the main control point must be modified repeatedly to satisfy varying requirements. Thus, the demand for design efficiency is hi...
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Article
A fine-grained convolutional recurrent model for obstructive sleep apnea detection
Obstructive Sleep Apnea (OSA) is a prevalent sleep-related breathing disorder that leads to various health issues such as hypertension, heart disease, diabetes, and stroke. In order to achieve a convenient, ro...
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Article
Design, Testing and Control of a Magnetorheological Damper for Knee Prostheses
This study aims to develop a magnetorheological (MR) damper for semi-active knee prostheses to restore the walking ability of transfemoral amputees. The core dimensions of the MR damper were determined via the...
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Article
Self-Preloading Flexible Attachment Actuator with Multi-Mechanism Hierarchical Structure
Flexible attachment actuators are popular in a wide range of applications, owing to their flexibility and highly reliable attachment. However, their reversible adhesion performance depends on the actual effect...
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Article
Bioinspired Scraper-File Type Frequency-Doubling Ultrasonic Exciter
In the natural world, leaf-cutting ants cause vibrations through their mutual scra** of file-scraper organs. In this study, we designed a Biomimetic Ultrasonic Exciter (BUE) that imitates leaf-cutting ants. ...
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Article
Personalized behavior modeling network for human mobility prediction
Predicting human mobility is essential for urban planning and personalized services. The problem addressed in this study is analyzing user behavior patterns and predicting their next destination. Due to the co...
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Article
A multi-label image classification method combining multi-stage image semantic information and label relevance
Multi-label image classification (MLIC) is a fundamental and highly challenging task in the field of computer vision. Most methods usually only focus on the inter-label association or the way to extract image ...
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Article
Robust graph neural networks with Dirichlet regularization and residual connection
Graph Neural Network (GNN) has attracted considerable research interest in various graph data modeling tasks. Most GNNs require efficient and sufficient label information during training phase. However, in ope...
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Article
A double-layer attentive graph convolution networks based on transfer learning for dynamic graph classification
In practical scenarios, many graphs dynamically evolve over time. The new node classification without labels and historical information is challenging. To address this challenge, we design a double-layer atten...
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Article
Fuzzy Fixed-Time Fault-Tolerant Control of Uncertain Nonlinear Systems with Non-affine Faults and Its Application in Manipulator Systems
This paper aims to solve two challenging problems in fuzzy control: the complexity explosion caused by iterative derivation of the virtual control laws in design process and the fuzzy adaptive feedback stabili...
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Article
Entropy regularized fuzzy nonnegative matrix factorization for data clustering
Clustering high-dimensional data is very challenging due to the curse of dimensionality. To address this problem, low-rank matrix approximations are widely used to identify the underlying low-dimensional struc...
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Article
Power Geometric Operations of Trapezoidal Atanassov’s Intuitionistic Fuzzy Numbers Based on Strict t-Norms and t-Conorms and Its Application to Multiple Attribute Group Decision Making
Trapezoidal Atanassov’s intuitionistic fuzzy numbers (TrAIFNs) is one of the useful tools to manage the fuzziness and vagueness in expressing decision data and solving decision making problems. In this paper, ...
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Chapter and Conference Paper
Generation Method of Dynamic Alarm Baseline for Cloud Server Based on XGBoost and Tolerability
In order to solve the problem that massive server alarm management of cloud data centers in electric power enterprises cannot adapt to the personalized operation of cloud business and lean equipment management...
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Chapter and Conference Paper
An Intrusion Detection System Using the XGBoost Algorithm for SDVN
Vehicular ad hoc networks (VANETs) rely on Software-Defined Networking (SDN) to enable continuous exchange of information and messages about vehicle and road conditions. This facilitates convenience for users ...
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Chapter and Conference Paper
Harvest Palm Tree Based on Detection Through 2D LiDAR Sensor Using Power Equation
The palm oil industry in Malaysia is encountering challenges that need innovative and technology-driven solutions. This study focuses on palm tree detection where 2D LiDAR sensors are utilized to collect data ...
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Chapter and Conference Paper
Real-World Experiments on Acoustic Detection of Small UAVs
This paper presents the real-world experiments on the acoustic detection of small unmanned aerial vehicles (UAVs). To achieve the accurate detection of the small UAVs, a series of data processing steps includi...
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Chapter and Conference Paper
Research on Long-Range Detection and Tracking of Small UAVs Based on AI Algorithms
Optoelectronic equipment is one of the key methods to track UAV, but in some real scenes, optoelectronic detection has a few problems, such as complicated targets detection and unstable tracking. Aiming at the...
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Chapter and Conference Paper
Covid-19 Detection Based on Chest X-ray Images Using Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks
The novel of Coronavirus (Covid-19) has effective in worldwide year by year, which led to a serious problem for affected lungs with different sequelae from patient. The techniques in Vision has a higher perfor...
