A5113672740- Artificial Intelligence in Games
- Digital Games and Media
- Computer Graphics and Visualization Techniques
- Gambling Behavior and Treatments
- Plant and Fungal Interactions Research
- Research in Cotton Cultivation
- Inflammasome and immune disorders
- Industrial Vision Systems and Defect Detection
- Plant Virus Research Studies
- Solar Radiation and Photovoltaics
- Advanced Neural Network Applications
- Smart Agriculture and AI
- Immune cells in cancer
- Video Analysis and Summarization
- Water Quality Monitoring Technologies
- Musculoskeletal synovial abnormalities and treatments
- Image Retrieval and Classification Techniques
- Energy and Environment Impacts
- interferon and immune responses
- Genital Health and Disease
- Phagocytosis and Immune Regulation
- Advanced Computational Techniques and Applications
- Viral Infections and Vectors
- Spectroscopy and Chemometric Analyses
- Speech Recognition and Synthesis
Southern University of Science and Technology
2023-2024
Nanjing Forestry University
2024
Fujian Medical University
2023-2024
Jiangnan University
2024
Nantong University
2014-2015
Sun Yat-sen University
2015
Accurate counting of cereals crops, e.g., maize, rice, sorghum, and wheat, is crucial for estimating grain production ensuring food security. However, existing methods cereal crops focus predominantly on building models specific crop head; thus, they lack generalizability to different varieties. This paper presents Counting Heads Cereal Crops Net (CHCNet), which a unified model designed multiple heads by few-shot learning, effectively reduces labeling costs. Specifically, refined vision...
Procedural Content Generation via Machine Learning (PCGML) has enhanced game content creation, yet challenges in controllability and limited training data persist. This study addresses these issues by distilling a constructive PCG algorithm into controllable PCGML model. We first generate large amount of with label it using Large Language Model (LLM). use synthetic labels to condition two models for content-specific generation, diffusion model the five-dollar neural network distillation...
In solid tumors, the formidable anti-tumor impact resulting from blocking "don't eat me" signal, arising CD47-SIRPα interaction, is constrained, especially compared to its efficacy in hematopoietic malignancies. Activating macrophage activity not only necessitates inhibition of but also activation "eat (pre-phagocyte) signal. Intriguingly, cytotoxic T-lymphocyte-associated antigen 4 (CTLA4) antibody (Ab) has been identified stimulate Fc receptor-mediated active phagocytes tumor...
Salt stress is becoming one of the major problems in global agriculture with onset warming, an increasing scarcity fresh water, and improper land irrigation fertilization practices, which leads to reduction crop output even causes death.To speed up exploitation saline land, it a good choice grow plants high level salt tolerance economic benefits.As leading fiber grown commercially worldwide, cotton placed moderately salt-tolerant group plant species, there promising potential improve...
Wave Function Collapse (WFC) is a widely used tile-based algorithm in procedural content generation, including textures, objects, and scenes. However, the current WFC related research lack ability to generate commercialized large-scale or infinite due constraint conflict time complexity costs. This paper proposes Nested (N-WFC) framework reduce complexity. To avoid backtracking problems, we offer complete sub-complete tileset preparation strategy, which requires only small number of tiles...
Tenosynovial chondromatosis is an extra-articular version of articular synovial and a relatively rare condition that can affect the tendon sheath, bursa, or joint tissue. rarely reported in literature often misdiagnosed. In present study, case tenosynovial left ring finger 23-year-old man reported. Three different-sized nodules were identified upon surgery all removed via synovectomy. The patient was symptom free 6 months postoperatively, there no signs recurrence after 1.5 years follow-up....
Cotton (Gossypium spp) is one of the most economically important crops that provide world's widely used natural fiber.Diseases such as Fusarium wilt and particularly Verticillium seriously affect cotton production, thus breeding for disease resistance goals programs.Currently, potential exists to improve in cultivated cotton.Increasing understanding distribution, structure, organization genes or quantitative trait loci will help breeders crop yield even event disease.To facilitate mapping...
Procedural Content Generation via Machine Learning (PCGML) has enhanced game content creation, yet challenges in controllability and limited training data persist. This study addresses these issues by distilling a constructive PCG algorithm into controllable PCGML model. We first generate large amount of with label it using Large Language Model (LLM). use synthetic labels to condition two models for content-specific generation, diffusion model the five-dollar neural network distillation...
Wave Function Collapse (WFC) is a widely used tile-based algorithm in procedural content generation, including textures, objects, and scenes. However, the current WFC related research lack ability to generate commercialized large-scale or infinite due constraint conflict time complexity costs. This paper proposes Nested (N-WFC) framework reduce complexity. To avoid backtracking problems, we offer complete sub-complete tileset preparation strategy, which requires only small number of tiles...