Daeung Yoon
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View article: Transposed arrangement strategy-based deep learning for seismic data crossline interpolation
Transposed arrangement strategy-based deep learning for seismic data crossline interpolation Open
Towed-streamer marine seismic acquisition systems generally have a dense receiver spacing in the inline receiver direction within common-shot gathers (along-streamer), while the streamer spacing is relatively sparse in the crossline receiv…
View article: Enhancing seabed sediment classification with multibeam echo-sounding and self-training: a case study from the East Sea of South Korea
Enhancing seabed sediment classification with multibeam echo-sounding and self-training: a case study from the East Sea of South Korea Open
Introduction Accurate classification of seabed sediments is essential for marine spatial planning, resource management, and scientific research. While direct sampling yields precise sediment information, it is costly and spatially limited.…
View article: A Cooperative Game-Based Multi-Criteria Weighted Ensemble Approach for Multi-Class Classification
A Cooperative Game-Based Multi-Criteria Weighted Ensemble Approach for Multi-Class Classification Open
Since the Fourth Industrial Revolution, AI technology has been widely used in many fields, but there are several limitations that need to be overcome, including overfitting/underfitting, class imbalance, and the limitations of representati…
View article: Spatial Pattern Analysis of Landslide Conditioning Factors in Jecheon Area Using SHAP Method
Spatial Pattern Analysis of Landslide Conditioning Factors in Jecheon Area Using SHAP Method Open
View article: Adaptive Linguistic Prompting (ALP) Enhances Phishing Webpage Detection in Multimodal Large Language Models
Adaptive Linguistic Prompting (ALP) Enhances Phishing Webpage Detection in Multimodal Large Language Models Open
Phishing attacks represent a significant cybersecurity threat, necessitating adaptive detection techniques. This study explores few-shot Adaptive Linguistic Prompting (ALP) in detecting phishing webpages through the multimodal capabilities…
View article: MSG score: A Comprehensive Evaluation for Multi-Scene Video Generation
MSG score: A Comprehensive Evaluation for Multi-Scene Video Generation Open
This paper addresses the metrics required for generating multi-scene videos based on a continuous scenario, as opposed to traditional short video generation. Scenario-based videos require a comprehensive evaluation that considers multiple …
View article: Deep Learning in Geophysics: Current Status, Challenges, and Future Directions
Deep Learning in Geophysics: Current Status, Challenges, and Future Directions Open
With the rapid development of artificial intelligence technology, machine learning and deep learning techniques have been actively applied in the field of exploration geophysics. In this study, we extensively investigated the application o…
View article: Integrating Deep Learning and Deterministic Inversion for Enhancing Fault Detection in Electrical Resistivity Surveys
Integrating Deep Learning and Deterministic Inversion for Enhancing Fault Detection in Electrical Resistivity Surveys Open
Clays in fault zones have low electrical resistivity, making electrical resistivity tomography (ERT) effective for fault investigations. However, traditional ERT inversion methods struggle to find a unique solution and produce unstable res…
View article: Machine Learning for Flood Prediction in Indonesia: Providing Online Access for Disaster Management Control
Machine Learning for Flood Prediction in Indonesia: Providing Online Access for Disaster Management Control Open
As one of the most vulnerable countries to floods, there should be an increased necessity for accurate and reliable flood forecasting in Indonesia.Therefore, a new prediction model using a machine learning algorithm is proposed to provide …
View article: Research Trends and Case Studies of Deep Learning Applications in Geo-electric and Electromagnetic Surveys
Research Trends and Case Studies of Deep Learning Applications in Geo-electric and Electromagnetic Surveys Open
전기전자탐사의 장비가 발전하면서, 탐사 시 측정할 수 있는 자료의 양이 증가하고 있을 뿐만 아니라 최근에는 광물 탐사 외에도 지하수 탐사나 오염 영역 탐사 등 매우 다양한 분야에서 적용되고 있다. 전기전자탐사 자료의 역산은, 계산 비용이 많이 들면서도 초기모델과 정규화 인자에 영향을 받는 한계가 있다. 이에 심층학습을 적용하여 자료를 처리하고 해석하는 기술에 대한 관심이 증가하여, 개선된 신경망을 이용한 심층 학습으로 역산을…
View article: Predicting As Contamination Risk in Red River Delta using Machine Learning Algorithms
Predicting As Contamination Risk in Red River Delta using Machine Learning Algorithms Open
Excessive presence of As level in groundwater is a major health problem worldwide.In the Red River Delta in Vietnam, several million residents possess a high risk of chronic As poisoning.The As releases into groundwater caused by natural p…
View article: Predicting as Contamination Risk in Red River Delta Using Machine Learning Algorithms
Predicting as Contamination Risk in Red River Delta Using Machine Learning Algorithms Open
View article: Hyperparameter Search for Facies Classification with Bayesian Optimization
Hyperparameter Search for Facies Classification with Bayesian Optimization Open
View article: A hybrid finite difference and integral equation method for modeling and inversion of marine CSEM data
A hybrid finite difference and integral equation method for modeling and inversion of marine CSEM data Open
One of the major problems in the modeling and inversion of marine controlled source electromagnetic (MCSEM) data is related to the need for accurate representation of very complex geoelectrical models typical for marine environment. At the…