A5058572236- Parallel Computing and Optimization Techniques
- Interconnection Networks and Systems
- Low-power high-performance VLSI design
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Energy Load and Power Forecasting
- Health and Well-being Studies
- Stock Market Forecasting Methods
- Biomedical Text Mining and Ontologies
- Computer Graphics and Visualization Techniques
- Advanced Memory and Neural Computing
- Video Analysis and Summarization
- Neural Networks and Applications
- Building Energy and Comfort Optimization
- Image and Video Quality Assessment
- CCD and CMOS Imaging Sensors
Ewha Womans University
1978-2025
Language Models (LMs) have shown remarkable potential in healthcare applications, yet their widespread adoption faces challenges achieving consistent performance across diverse medical specialties while maintaining parameter efficiency. Current approaches to fine-tuning language models for tasks often require extensive computational resources and struggle with managing specialized knowledge different domains. To address these challenges, we present PRISM-Med (Parameter-efficient Robust...
Long Short-Term Memory (LSTM) networks, coupled with attention mechanisms, have demonstrated their proficiency in handling time-series data, particularly the architectural energy prediction industry. However, high computational complexity and resource-intensive nature pose significant challenges for real-time applications on edge devices. Traditional methods of mitigating these issues, such as quantization, often lead to a compromise model performance due approximation errors introduced...
The harnessing of mobile Graphics Processing Units (mGPUs) has become increasingly significant in modern computing technology, especially for devices such as smartphones and tablets. In recent years, however, the focus research shifted from graphics-specific studies to those involving General-Purpose on (GPGPU), with an emphasis AI workloads. As a result, there been lack progress GPU tailored needs GPU-intensive workloads, 3D, VR, AR gaming. To address this issue, we analyze gaming which...
A study to determine the physical development and nutritional status of 2,170 women entering Ewha Womans University in 1978 was undertaken order contribute basic data needed for planning education. Data gathered during entrance examination included measurements growth skinfold thickness information on consumption protein, fat carbohydrates. Findings are summarized: 1. More than half students were 19 years old (57.7%), 28.1% 18 or younger, 14.2% 20 order. 2. Most reported they had been breast...