Hyunwook Park

Heat exposure and its impact on COPD morbidity and mortality: a systematic review and meta-analysis

Yeonjae Kim, Hyunwook Park, Wanhyung Lee

Heat exposure is associated with adverse chronic obstructive pulmonary disease (COPD) outcomes, but findings vary across studies. We quantified the heat–COPD association and evaluated sources of heterogeneity. PubMed, Embase, and Google Scholar were searched for observational studies on heat exposure and COPD …

Heat exposure and its impact on COPD morbidity and mortality: a systematic review and meta-analysis

Yeonjae Kim, Hyunwook Park, Wanhyung Lee

Heat exposure is associated with adverse chronic obstructive pulmonary disease (COPD) outcomes, but findings vary across studies. We quantified the heat-COPD association and evaluated sources of heterogeneity. PubMed, Embase, and Google Scholar were searched for observational studies on heat exposure and COPD …

kr (code pays fourni par la source)

Heat exposure and its impact on COPD morbidity and mortality: a systematic review and meta-analysis

Yeonjae Kim, Hyunwook Park, Wanhyung Lee

Heat exposure is associated with adverse chronic obstructive pulmonary disease (COPD) outcomes, but findings vary across studies. We quantified the heat–COPD association and evaluated sources of heterogeneity. PubMed, Embase, and Google Scholar were searched for observational studies on heat exposure and COPD …

Boosting High-Speed Channel Transformer Performance with Gating Neural Network

Davit Kharshiladze, Hyunwook Park, Zhiping Yang, Chulsoon Hwang

us (code pays fourni par la source)

Quantifying the Correa Cascade from Helicobacter pylori to Gastric Cancer: Causal Inference from 6.8 Million Koreans

hyun jin Oh, Chung Ho Kim, Hyunwook Park, Bomi Park

kr (code pays fourni par la source)

Self-supervised deep learning model for denioising and distortion correction in accelerated echo planar imaging

Jeewon Kim, Beomgu Kang, Hyunwook Park, Hyunseok Seo

Motivation: Accelerated EPI can improve temporal resolution but leads to low SNR, which exacerbates geometry distortions and aliasing artifacts. Goal(s): Our objective is to simultaneously denoise and correct distortions in accelerated EPI using self-supervised learning. Approach: An raw image generation of accelerated …

Analytical dehumidification performance evaluation of a novel window-type liquid desiccant ventilation system based on CFD simulation

Jabin Goo, W.H. Lee, Hyunwook Park, Donghee Choi et autres

As climate change leads to a transition into a hot and humid subtropical climate in Korea, maintaining a comfortable indoor thermal environment necessitates proper control of indoor temperature and humidity. Traditional refrigerant dehumidification systems offer easily adjustable dehumidification levels but suffer from …

kr (code pays fourni par la source)

Multi-Objective Inverse Optimization of High-Speed Interconnects Using Cascaded Deep Neural Network

Yicheng Zhang, Ling Zhang, Hyunwook Park, Bo Pu et autres

This paper proposes a novel multi-objective inverse optimization method for high-speed interconnects based on a cascaded deep neural network (DNN) structure, which can efficiently optimize characteristic impedance, insertion loss, and far-end crosstalk (FEXT) simultaneously. Parameter optimization for high-speed interconnects is essential to …

cn, us (code pays fourni par la source)

Differential Via Modeling Using Multilayer Perceptron-Sequential (MLP-SEQ) Neural Network

Hyunwook Park, Bandi Sathvika, Arun Chada, Soumya Singh et autres

In this paper, an encoder-decoder structured multi-layer perceptron-sequential (MLP-SEQ) networks are proposed to model high-speed differential vias for estimating differential insertion loss (IL) and return loss (RL). Sequential neural networks including recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent …

us, kr, ca (code pays fourni par la source)

Data Representation and Preprocessing Effects on S-Parameter Modeling of High-Speed Channels Using Machine Learning

Hyunwook Park, Davit Kharshiladze, Yifan Ding, Ling Zhang et autres

In this paper, the effects of data representations and preprocessing on machine learningbased S-parameter modeling of high-speed channels are investigated. Using a transformer network as a base model, two S-parameter representations in real/imaginary and magnitude/phase are compared and studied. Considering S-parameter data …

us, cn (code pays fourni par la source)

Large Language Model-Based Decoupling Capacitor Placement Optimization

Keunwoo Kim, Taein Shin, Hyunwook Park, Seonguk Choi et autres

In this paper, for the first time, we propose a large language model (LLM)-based decoupling capacitor (decap) placement optimization method. By leveraging Optimization by PROmpting (OPRO), we harness pre-trained LLMs' patternrecognition capabilities, demonstrating their potential to address complex power integrity (PI) domain …

kr, us (code pays fourni par la source)

The Significance of Small Lymph Nodes on CT for Advanced Poorly Cohesive Gastric Carcinoma

G. Cho, Jae Yong Park, Eun Sun Lee, Hyunwook Park et autres

kr (code pays fourni par la source)