A5035476526- Advanced Neural Network Applications
- Vehicle License Plate Recognition
- Robotics and Automated Systems
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Image and Video Retrieval Techniques
- Neurological disorders and treatments
- Video Surveillance and Tracking Methods
- Autonomous Vehicle Technology and Safety
- Botulinum Toxin and Related Neurological Disorders
- Renal Diseases and Glomerulopathies
- Complement system in diseases
- Recycling and Waste Management Techniques
- Innovation in Digital Healthcare Systems
- Liver Disease Diagnosis and Treatment
- Technology and Data Analysis
- Generative Adversarial Networks and Image Synthesis
- Internet of Things and Social Network Interactions
- Face recognition and analysis
- Liver Disease and Transplantation
- Platelet Disorders and Treatments
- UAV Applications and Optimization
- Smart Agriculture and AI
- Parkinson's Disease Mechanisms and Treatments
- Metabolism and Genetic Disorders
Konkuk University
2019-2022
The Korean Generative Grammar Circle
2021
University of Ulsan
2011
Chung-Ang University
2010
Background/Aims Functional and anatomical abnormalities of mitochondria play an important role in developing steatohepatitis. Carnitine is essential for enhanced mitochondrial beta oxidation through the transfer long-chain fatty acids into mitochondria. We examined impact carnitine complex on liver function peripheral blood copy number NAFLD patients. Methods Forty-five patients were enrolled. Patients categorized complex-administered group control group. Before 3 months after drug...
Recently, increasing evidence suggests that neuroinflammation may be a critical factor in the development of Parkinson's disease (PD) addition to ratio acetylcholine/dopamine because dopaminergic neurons are particularly vulnerable inflammatory attack. In this study, we investigated whether botulinum neurotoxin A (BoNT-A) was effective for treatment PD through its anti-neuroinflammatory effects and modulation acetylcholine dopamine release. We found BoNT-A ameliorated MPTP 6-OHDA-induced...
Currently, artificial intelligence is used in many fields, especially real-time object recognition vision very efficient and powerful than other processing methods, it for robots autonomous vehicles. However, a more meaningful judgment by requires recognizing the position of detected or batch among objects beyond detection situation. In words, we can interpret that person would measure situation after seeing an object. this paper, propose system to combine recognition. We represent networks...
In this paper, a road lane is detected as reference point in driving image, and the objects that are likely to affect situation depending on point, then remaining excluded from recognition. addition, we propose method of mapping Bird's Eye View normalization uniformly express positions irregularly appearing each image based these points. As result, accuracy 97.66% was obtained result experiment recognition by proposed method.
Image classification and object detection using deep learning have evolved with continuous research. In particular, the development of big data improvement computer hardware performance contributed extremely to learning. Deep technologies like Convolutional Neural Network (CNN) Recurrent (RNN) can train models through training data. other words, optimal value weight parameter is automatically obtained from this way, most important in The quality amount affects models. order obtain high data,...
Recently, the development of artificial intelligence has been applied and used in various fields. In particular, it contributed to significant autonomous driving, research is being actively conducted. There are many exceptions deal with driving. Examples include appearance pedestrians, road construction, driving intentions nearby vehicles when The most frequently encountered dealing these problems understanding surrounding vehicles. Vehicles send signals neighboring let them know their...