Lü Jing

ORCID: 0000-0002-8099-2008
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About
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Research Areas
  • Higher Education and Teaching Methods
  • Cultural Industries and Urban Development
  • Marine animal studies overview
  • Animal Vocal Communication and Behavior
  • Remote Sensing and Land Use
  • Higher Education Governance and Development
  • Advanced Graph Neural Networks
  • Simulation and Modeling Applications
  • Grey System Theory Applications
  • Education and Work Dynamics
  • Customer Service Quality and Loyalty
  • Environmental Changes in China
  • China's Ethnic Minorities and Relations
  • Human Mobility and Location-Based Analysis
  • Environmental and Agricultural Sciences
  • Engineering Education and Curriculum Development
  • Ideological and Political Education
  • Recommender Systems and Techniques
  • Identification and Quantification in Food
  • Banana Cultivation and Research
  • Educational Environments and Student Outcomes
  • Wireless Communication Networks Research
  • Customer churn and segmentation
  • Advanced Research in Science and Engineering
  • Tensor decomposition and applications

University of Shanghai for Science and Technology
2009-2024

Southwest Forestry University
2021-2024

China Academy of Engineering Physics
2024

Communication University of China
2019

Purdue University West Lafayette
2017

Shijiazhuang University
2008-2012

Shandong Jianzhu University
2012

North China Institute of Science and Technology
2012

Taizhou Vocational and Technical College
2011

Guangxi University of Science and Technology
2010

Purpose The purpose of this paper is to critically evaluate whether a Lean Six Sigma (LSS) leadership model could be effectively utilized resolve efficiency and effective issues like rising costs, quality education, graduation retention rates encountered in higher education institutions (HEIs) the modern era. Design/methodology/approach authors systematically reviewed literature on key concepts LSS HEIs develop theoretical using an inductive theory-building approach accordance with...

10.1108/ijppm-09-2016-0195 article EN International Journal of Productivity and Performance Management 2017-04-28

Abstract With the intensification of ecosystem damage, birds have become symbolic species ecosystem. Ornithology with interdisciplinary technical research plays a great significance for protecting and evaluating quality. Deep learning shows progress birdsongs recognition. However, as number network layers increases in traditional CNN, semantic information gradually becomes richer detailed disappears. Secondly, global carried by entire input may be lost convolution, pooling, or other...

10.1038/s41598-022-12121-8 article EN cc-by Scientific Reports 2022-05-23

The innovation of high‐throughput technologies and medical radiomics allows biomedical data to accumulate at an astonishing rate. Several promising deep learning (DL) methods are developed integrate multiomics generated from a large number samples. Herein, comprehensive survey is conducted the state‐of‐the‐art DL‐based integration in field reviewed. These classified into six categories according their model framework, specific applicable scenarios each category summarized five biomedicine...

10.1002/aisy.202200247 article EN cc-by Advanced Intelligent Systems 2023-01-31

As important members of the ecosystem, birds are good monitors ecological environment. Bird recognition, especially birdsong has attracted more and attention in field artificial intelligence. At present, traditional machine learning deep widely used recognition. Deep can not only classify recognize spectrums birdsong, but also be as a feature extractor. Machine is often to extracted handcrafted parameters. data samples classifier, directly determines performance classifier. Multi-view...

10.1016/j.ecoinf.2022.101893 article EN cc-by-nc-nd Ecological Informatics 2022-11-03

With the rapid growth of information generated by online social network platforms and increased usage Location-Based Social Networks, location recommendation research has attracted more attention both in academic industry. However, problem data sparsity still posses a severe challenge to existing methods. Moreover, extracting modeling multiple contextual information, which is one key factors that influences user check-in preferences, another big faced Many methods have low accuracy because...

10.1109/access.2020.2983555 article EN cc-by IEEE Access 2020-01-01

Combining the study of college Students' happiness,this text establishes a set campus planning and design evaluation system related to students' happiness degree from perspective student's personal use. Also practical example is evaluated.

10.4028/www.scientific.net/amr.450-451.1123 article EN Advanced materials research 2012-01-01

In traditional indirect-drive double-shell inertial confinement fusion, high-energy x-ray preheat has always been identified as a major source of degrading implosion performance. However, significant increase the neutron yield is observed in ignition-like experiments performed at Shenguang laser facility by intentionally utilizing preheat, mostly from $M$-band. Permission more $M$-band absorption inside inner shell can both significantly mitigate mix between fuel and with stable Awtood...

10.1103/physreve.110.l063201 article EN Physical review. E 2024-12-13

In the classification of birdsong, effect traditional feature extraction methods and identifying birds through deep learning is still not ideal. Therefore, this paper proposes a birdsong method based on Gabor_Wt image convolutional neural network. According to two-dimensional wavelet spectrogram signal can present more detailed information characteristics birdsong. The obtained by using transform from audio. images are extracted texture with 2D-Gabor filters. With network structure, WT_CNN...

10.1109/prai53619.2021.9551079 article EN 2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI) 2021-08-20

Bird research contributes to understanding species diversity, ecosystem functions, and the maintenance of biodiversity. By analyzing bird images audio birds, we can monitor distribution, abundance, behavior better understand health ecosystems. However, involve a vast amount data. To improve efficiency data transmission storage save bandwidth, compressive sensing overcome this challenge. Compressive is technique that uses sparsity signals recover original from small number linear...

10.3390/app14198680 article EN cc-by Applied Sciences 2024-09-26

Background To enhance the accuracy of allergen detection in cosmetic compounds, we developed a co-culture system that combines HaCaT keratinocytes (transfected with luciferase plasmid driven by AKR1C2 promoter) and THP-1 cells for machine learning applications. Methods Following chemical exposure, cell cytotoxicity was assessed using CCK-8 to determine appropriate stimulation concentrations. RNA-Seq subsequently employed analyze cells, followed differential expression gene (DEG) analysis...

10.7717/peerj.18672 article EN cc-by PeerJ 2024-12-13

After polymer flooding, it is necessary to find relay technology retain oil yield. In this paper, laboratory experiments were conducted investigate feasibility of secondary in which injecting more with higher concentration and relative molecular mass. It determine enhanced recovery range optimum concentration. With microscopic visible glass physical models, further start up drops can be observed distinctly. the mean time, macroscopic heterogeneous core tests carried out permeability 2, 5 8....

10.3968/j.ans.1715787020090202.001 article EN Advances in natural science/Advances in natural sciences 2010-04-15

Purpose: This study evaluated differing sources of the Lean Six Sigma body knowledge with purpose standardizing on learning outcomes for a Black Belt graduate level course.Design/Methodologies/Approach: Through systematic literature review and reverse curriculum design model, three associations that maintain standards (ISO, ATMAE, ASQ) were compared development most similar among bodies against Bloom's taxonomy. Findings:Based upon seven enduring understandings developed about DMAIC, project...

10.5703/1288284316384 article EN 2017-05-01
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