A5100757962- Cancer-related molecular mechanisms research
- Music and Audio Processing
- AI and Multimedia in Education
- Neuroscience and Music Perception
- Image and Signal Denoising Methods
- Music Technology and Sound Studies
- RNA modifications and cancer
- Remote Sensing and LiDAR Applications
- Simulation and Modeling Applications
- Photoreceptor and optogenetics research
- Face and Expression Recognition
- Automated Road and Building Extraction
- E-commerce and Technology Innovations
- Video Surveillance and Tracking Methods
- MicroRNA in disease regulation
- EEG and Brain-Computer Interfaces
- Remote Sensing in Agriculture
- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Belt Conveyor Systems Engineering
- Emotion and Mood Recognition
- Generative Adversarial Networks and Image Synthesis
- Antibiotic Resistance in Bacteria
- Bacterial Genetics and Biotechnology
- Smart Agriculture and AI
Guangxi Transportation Research Institute
2024
State Forestry and Grassland Administration
2023
Zhejiang A & F University
2023
Fujian Normal University
2023
Sun Yat-sen University
2021
Improving the efficacy of existing antibiotics is significant for combatting antibiotic resistance that poses a major threat to human health. Carbonyl cyanide m-chlorophenylhydrazine (CCCP), well-known protonophore dissipating proton motive force (PMF), has been widely used block PMF-dependent uptake aminoglycoside and thus suppress lethality. Here, we report CCCP its functional analog FCCP, but not other types protonophores, unprecedently potentiate aminoglycosides (e.g., tobramycin...
Although deep learning has revolutionized music generation, existing methods for structured melody generation follow an end-to-end left-to-right note-by-note generative paradigm and treat each note equally. Here, we present WuYun, a knowledge-enhanced architecture improving the structure of generated melodies, which first generates most structurally important notes to construct melodic skeleton subsequently infills it with dynamically decorative into full-fledged melody. Specifically, use...
Face image super-resolution refers to recovering a high-resolution face from low-resolution one. In recent years, due the breakthrough progress of deep representation learning for super-resolution, study has become one hot topics in field super-resolution. However, performance these learning-based approaches highly relies on scale training samples and is limited efficiency real-time applications. To address issues, this work, we introduce novel method based parallel imaging theory OpenVINO....
In the past decades, thanks to development of deep neural networks (DNNs), more and facial expression recognition (FER) methods based on DNN overcome limitations conventional FER machine learning achieved excellent performance. However, in driving scenario, performance is limited due large head pose, variable illumination lack driver dataset. this work, instead using traditional CNN backbone network structure, we introduce Vision Transformer (ViT), a model multi-head self-attention mechanism...
Motion pedestrian detection and tracking is one of the key technologies in safe driving assistant navigation technology for smart vehicles urban traffic environment. It plays an important role promoting development vehicle ensuring road safety. In order to solve problem safety environment, method based on monocular vision studied. The algorithm design implementation process detecting movement from complex scenes are introduced detail. A analyzing given. Finally, proposed validated. results...
Pedestrian detection is a hot research topic in the fields of image processing and computer vision. It has lot important applications intelligent transportation, human action analysis, robot development, video surveillance so on. We propose kind feature extraction method for pedestrian detection, which motivated by good merits Local Binary Patterns (LBP). Cascade AdaBoost classifier used to detect pedestrian. Experiment results show that proposed algorithm performance.
Image-to-image translation is a fundamental task in computer vision. It transforms images from one domain to another so that they have particular domain-specific characteristics. Most prior works train generative model learn the mapping source target domain. However, learning such between domains challenging because data different can be highly unbalanced terms of both quality and quantity. To address this problem, we propose new approach extract image features by similarities differences...
<div>Abstract<p>Circular RNAs (circRNA) are a new member of endogenously produced noncoding that have been characterized as key regulators gene expression in variety malignances. However, the role circRNA oral squamous cell carcinoma (OSCC) remains largely unknown. In this study, we identified unique regulate OSCC progression and metastasis pave roads for future research early diagnosis, prevention, treatment OSCC. Transcriptomic analyses derived from <i>IGHG</i>...