Minjong Cheon
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View article: Understanding machine learning weather prediction by designing a cost-efficient model with knowledge-oriented modules
Understanding machine learning weather prediction by designing a cost-efficient model with knowledge-oriented modules Open
Deep learning-based models are gaining prevalence in global weather forecasting, surpassing the performance of existing numerical models. However, training these models with high-resolution global weather data requires massive computationa…
View article: Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness
Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness Open
Kolmogorov-Arnold Networks (KANs) have garnered attention for replacing fixed activation functions with learnable univariate functions, but they exhibit practical limitations, including high computational costs and performance deficits in …
View article: MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification
MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Open
Recent advances in deep learning for vision tasks have seen the rise of State Space Models (SSMs) like Mamba, celebrated for their linear scalability. However, their adaptation to 2D visual data often necessitates complex modifications tha…
View article: AtmosMJ: Revisiting Gating Mechanism for AI Weather Forecasting Beyond the Year Scale
AtmosMJ: Revisiting Gating Mechanism for AI Weather Forecasting Beyond the Year Scale Open
The advent of Large Weather Models (LWMs) has marked a turning point in data-driven forecasting, with many models now outperforming traditional numerical systems in the medium range. However, achieving stable, long-range autoregressive for…
View article: Advancing Meteorological Forecasting: AI-based Approach to Synoptic Weather Map Analysis
Advancing Meteorological Forecasting: AI-based Approach to Synoptic Weather Map Analysis Open
As global warming increases the complexity of weather patterns; the precision of weather forecasting becomes increasingly important. Our study proposes a novel preprocessing method and convolutional autoencoder model developed to improve t…
View article: Combining KAN with CNN: KonvNeXt’s Performance in Remote Sensing and Patent Insights
Combining KAN with CNN: KonvNeXt’s Performance in Remote Sensing and Patent Insights Open
Rapid advancements in satellite technology have led to a significant increase in high-resolution remote sensing (RS) images, necessitating the use of advanced processing methods. Additionally, patent analysis revealed a substantial increas…
View article: Combining KAN with CNN: KonvNeXt's Performance in Remote Sensing and Patent Insights
Combining KAN with CNN: KonvNeXt's Performance in Remote Sensing and Patent Insights Open
The rapid advancements in satellite technology have led to a significant increase in high-resolution remote sensing (RS) images, necessitating advanced processing methods. Additionally, a patent analysis revealed a significant increase in …
View article: Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks
Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks Open
In the realm of deep learning, the Kolmogorov-Arnold Network (KAN) has emerged as a potential alternative to multilayer projections (MLPs). However, its applicability to vision tasks has not been extensively validated. In our study, we dem…
View article: Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing
Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing Open
In this research, we propose the first approach for integrating the Kolmogorov-Arnold Network (KAN) with various pre-trained Convolutional Neural Network (CNN) models for remote sensing (RS) scene classification tasks using the EuroSAT dat…
View article: KARINA: An Efficient Deep Learning Model for Global Weather Forecast
KARINA: An Efficient Deep Learning Model for Global Weather Forecast Open
Deep learning-based, data-driven models are gaining prevalence in climate research, particularly for global weather prediction. However, training the global weather data at high resolution requires massive computational resources. Therefor…
View article: The Climate of Innovation: AI’s Growing Influence in Weather Prediction Patents and Its Future Prospects
The Climate of Innovation: AI’s Growing Influence in Weather Prediction Patents and Its Future Prospects Open
As the severity of climate change intensifies, understanding and predicting weather patterns have become paramount. Major firms worldwide have recognized this urgency, focusing their innovative efforts on weather prediction. In line with t…
View article: SR-AnoGAN: You Never Detect Alone. Super Resolution in Anomaly Detection (Student Abstract)
SR-AnoGAN: You Never Detect Alone. Super Resolution in Anomaly Detection (Student Abstract) Open
Despite the advance in deep learning algorithms, implementing supervised learning algorithms in medical datasets is difficult owing to the medical data's properties. This paper proposes SR-AnoGAN, which could generate higher resolution ima…
View article: Disclosing the Relationship Between Nasdaq and Bitcoin via Artificial Intelligence Approach: Machine Learning and Deep Learning
Disclosing the Relationship Between Nasdaq and Bitcoin via Artificial Intelligence Approach: Machine Learning and Deep Learning Open
Cryptocurrency has grown in popularity recently, and people try to get revenue from investing in cryptocurrency because the fluctuation is much larger than the stock market. However, because of this characteristic, some people lose a huge …
View article: A Novel Hybrid Deep Learning Approach to Code Generation Aimed at Mitigating the Real-Time Network Attack in the Mobile Experiment Via GRU-LM and Word2vec
A Novel Hybrid Deep Learning Approach to Code Generation Aimed at Mitigating the Real-Time Network Attack in the Mobile Experiment Via GRU-LM and Word2vec Open
As the use of devices in mobile environments increases, network attacks such as DDoS have a malicious attempt to flood the network's regular traffic to overload the target and surrounding infrastructure. This research proposed machine lear…
View article: Proposing an Integrated Approach to Analyzing ESG Data via Machine Learning and Deep Learning Algorithms
Proposing an Integrated Approach to Analyzing ESG Data via Machine Learning and Deep Learning Algorithms Open
In the COVID-19 era, people face situations that they have never experienced before, which alerted the importance of the ESG. Investors also consider ESG indexes as an essential factor for their investments, and some research yielded that …
View article: A Study on the Factors Affecting Academic Achievement in the Non-Face-to-Face Class Environment Due to COVID-19: Focusing on Computer Liberal Arts Education Class
A Study on the Factors Affecting Academic Achievement in the Non-Face-to-Face Class Environment Due to COVID-19: Focusing on Computer Liberal Arts Education Class Open
As a result of the COVID-19 pandemic, many universities have shifted to non-face-to-face classes resulting in numerous changes in the educational system. Since programming education includes a greater proportion of practice than theory-ori…
View article: Design of a novel Korean learning application for efficient pronunciation correction
Design of a novel Korean learning application for efficient pronunciation correction Open
The Korean wave, which denotes the global popularity of South Korea's cultural economy, contributes to the increasing demand for the Korean language. However, as there does not exist any application for foreigners to learn Korean, this pap…
View article: Efficient Network Traffic Classification and Visualizing Abnormal Part Via Hybrid Deep Learning Approach : Xception + Bidirectional GRU
Efficient Network Traffic Classification and Visualizing Abnormal Part Via Hybrid Deep Learning Approach : Xception + Bidirectional GRU Open
Due to a rapid development in the field of information and communication, the information technologies yielded novel changes in both individual and organizational operations. Therefore, the accessibility of information became easier and mo…
View article: Factors Affecting Academic Achievement in SW Education
Factors Affecting Academic Achievement in SW Education Open
Software industry is becoming the core of technology trend. SW-based changes in education, industry, and social perception are continuously increasing, and thus, computing power is recognized as an essential requirement in higher education…
View article: A Study on the Factors Affecting Intention of Learning Python Programming: For Non-majors in University
A Study on the Factors Affecting Intention of Learning Python Programming: For Non-majors in University Open
In an industry, society gets more interest in software. In accordance with this trend, in the process of composing the university's curriculum, it is increasingly emphasized that problem-based learning through computational thinking and pr…