A5078344576- Animal Behavior and Reproduction
- Neurobiology and Insect Physiology Research
- Plant and animal studies
- Forest Insect Ecology and Management
- Advanced Image Processing Techniques
- Insect symbiosis and bacterial influences
- Insect-Plant Interactions and Control
- Spectroscopy and Chemometric Analyses
- Insect Utilization and Effects
- Species Distribution and Climate Change
- Nuts composition and effects
- Big Data Technologies and Applications
- Wood and Agarwood Research
- Big Data and Business Intelligence
- Cloud Computing and Resource Management
- Image and Signal Denoising Methods
- Forensic Entomology and Diptera Studies
- Generative Adversarial Networks and Image Synthesis
Southwest Forestry University
2022-2024
Image restoration is a crucial task in computer vision, aiming to fill missing areas within an image restore its integrity. Traditional methods fall short when dealing with intricate facial restoration, often failing produce high-quality results. Denoising Diffusion Probabilistic Models(DDPM), characterized by diversity and stability, plays significant role the domain of restoration. This study aims explore method based on DDPM, utilizing pre-trained unconditional DDPM model achieve more...
Abstract Pine nuts are not only the important agent of pine reproduction and afforestation, but also commonly consumed nut with high nutritive values. However, it is difficult to distinguish among due morphological similarity species. Therefore, improve quality solve adulteration problem quickly non-destructively. In this study, seven ( Pinus bungeana , yunnanensis thunbergii armandii massoniana elliottii taiwanensis ) were used as study 210 near-infrared (NIR) spectra collected from species...
Tomicus yunnanensis Kirkendall (Coleoptera: Scolytinae) is a stem-boring pest that endangers Pinus Franch (Pinales:Pinoideae), which seriously affects the ecological environment safety in southwest China. In order to understand potential distribution pattern and change of P. T. yunnanensis, this study used maximum entropy model predict potentially suitable areas for explored relationships between their different spatiotemporal distributions based on analysis. The experimental results show...
Abstract Macroevolution can be regarded as the result of evolutionary changes synergistically acting genes. Unfortunately, importance these genes in macroevolution is difficult to assess and hence identification macroevolutionary key a major challenge biology. In this study, we designed various word embedding libraries natural language processing (NLP) considering multiple mechanisms genomics. A novel method (IKGM) based on three types attention (domain attention, kmer fused attention) were...
Abstract Macroevolution of most organisms is generally the result synergistic action multiple key genes in evolutionary biology. Unfortunately, weights these macroevolution are difficult to assess. In this study, we designed various word embedding libraries natural language processing (NLP) considering mechanisms genomics. A novel method (IKGM) based on three types attention (domain attention, kmer and fused attention) were proposed calculate different macroevolution. Taking 34 species...
Aiming at the problems of massive heterogeneous data in smart university, this study designed and developed a big platform for university based on Hadoop. We firstly used HBase Hive SQL to store analyze collected datasets. Subsequently, corresponding results were visualized using ECharts. This center with powerful capabilities integration, storage analysis can realize most basic core "management + use". Furthermore, it would provide scientific decision-making services daily management...
Gut microbes are closely related to the metabolism and growth development of insects, which crucial for pest control research. In this study, pre-processed data based on gut microbial obtained from previous experiments different instars parts larvae Dendrolimus kikuchii Matsumura were stored into MySQL database. We also completed construction visualization database (DKIMDB, http://8.136.132.83:5000/) by using Python's lightweight Flask framework, Ajax asynchronous requests Echarts, mapped...