A5085026046- Face and Expression Recognition
- Higher Education and Teaching Methods
- Advanced Algorithms and Applications
- Machine Learning and ELM
- Sparse and Compressive Sensing Techniques
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Text and Document Classification Technologies
- Education and Work Dynamics
- Advanced Computational Techniques and Applications
- Translation Studies and Practices
- Ideological and Political Education
- Advancements in Solid Oxide Fuel Cells
- Advanced Clustering Algorithms Research
- Simulation and Modeling Applications
- Remote-Sensing Image Classification
- Blind Source Separation Techniques
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Video Surveillance and Tracking Methods
- Digital Media and Visual Art
- Educational Technology and Pedagogy
- Network Security and Intrusion Detection
- Computer Graphics and Visualization Techniques
- Language, Metaphor, and Cognition
Northwestern Polytechnical University
2021-2025
Xijing University
2014-2025
Inner Mongolia University
2014-2024
SP Technology (South Korea)
2024
Xiaomi (China)
2024
Jilin University
2012-2023
Shandong University of Technology
2023
Beijing Institute of Technology
2012-2022
Beijing University of Posts and Telecommunications
2022
Hainan Agricultural School
2018-2022
There are both theoretical and empirical reasons to believe that design execution factors associated with bias in controlled trials. Statistically significant moderator effects, such as the effect of trial quality on treatment sizes, rarely detected individual meta-analyses, evidence from meta-epidemiological datasets is inconsistent. The for disconnect between theory observation unclear. study objective was explore power detect level effects meta-analyses. We generated meta-analyses using...
The twin support vector machine (TWSVM) is one of the powerful classification methods. In this brief, a TWSVM-type clustering method, called (TWSVC), proposed. Our TWSVC includes both linear and nonlinear versions. It determines k cluster center planes by solving series quadratic programming problems. To make more efficient stable, an initialization algorithm based on nearest neighbor graph also suggested. experimental results several benchmark data sets have shown comparable performance our TWSVC.
Biology is meaningful and important to identify cytokines investigate their various functions biochemical mechanisms. However, several issues remain, including the large scale of benchmark datasets, serious imbalance data, discovery new gene families. In this paper, we employ machine learning approach based on a novel ensemble classifier predict cytokines. We directly selected amino acids sequences as research objects. First, pretreated data accurately. Next, analyzed physicochemical...
Graph Neural Network (GNN)-based fake news detectors apply various methods to construct graphs, aiming learn distinctive embeddings for classification. Since the construction details are unknown attackers in a black-box scenario, it is unrealistic conduct classical adversarial attacks that require specific adjacency matrix. In this paper, we propose first general attack framework, i.e., General Attack via Fake Social Interaction (GAFSI), against based on different graph structures....
In this letter, we propose an improved version of generalized eigenvalue proximal support vector machine (GEPSVM), called IGEPSVM for short. The main improvements are 1) the decomposition is replaced by standard decomposition, resulting in simpler optimization problems without possible singularity. 2) An extra meaningful parameter introduced, stronger classification generalization ability. Experimental results on both artificial datasets and several benchmark show that our superior to GEPSVM...
Forward-looking sonar object detection plays a vital role in marine applications such as underwater navigation, surveillance, and exploration, serving an essential acoustic method. However, the challenges posed by seabed reverberation noise, complex environments, varying scales significantly hinder accurate of diverse categories. To overcome these challenges, we propose novel semantic-spatial feature enhanced model, namely YOLO-SONAR, tailored for forwardlooking imagery. Specifically,...
Abstract A novel strategy was proposed to enhance the sinterability and electrical properties of BaZr 0.1 Ce 0.7 Y 0.2 O 3‐δ (BZCY) proton‐conducting electrolyte by adding 10 wt.% La 0.9 Sr Ga 0.8 Mg (LSGM) form a 90 BZCY–10 LSGM (BL91) composite electrolyte. XRD patterns showed that no reaction occurred between BZCY electrolytes after sintering at 1400°C, 1450°C, 1500°C, 1550°C for h. The BL91 exhibited higher relative densities Vickers hardness excellent compared with those combined...
The use of LnBaCo2O5+δ (Ln = rare earth) cathodes in intermediate-temperature solid oxide fuel cells (IT-SOFCs) is limited by their high thermal expansion coefficients (TECs). Unfortunately, the electrocatalytic activity also decreased significantly while reducing TECs. Here, we report simultaneous enhancement oxygen-reduction and compatibility NdBaCoFeO5+δ (NBCF) double-perovskite cathode for IT-SOFCs via fluorine doping at oxygen sites, that is, NdBaCoFeO5+δ-xFx (NBCFFx, x 0.05 0.10)....
A virtual power plant is a management system used to maintain the balance of demand between electricity consumption measurement and generation measurement, which able integrate source, network, load storage data in new type realize collaborative operation management. In this paper, we propose multi-platform optimization scheme that combines energy efficiency carbon service mechanisms. Specifically, first various distributed resource equipment parameters, performance timing establish model...