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A Systematic Review of Machine Learning in Sports Betting: Techniques, Challenges, and Future Directions
The sports betting industry has experienced rapid growth, driven largely by technological
advancements and the proliferation of online platforms. Machine learning (ML) has played a …
advancements and the proliferation of online platforms. Machine learning (ML) has played a …
Classification of clothing using googlenet deep learning and IoT based on artificial intelligence
SK Noh - Smart Media Journal, 2020 - koreascience.kr
Recently, artificial intelligence (AI) and the Internet of things (IoT), which are represented by
machine learning and deep learning among IT technologies related to the Fourth Industrial …
machine learning and deep learning among IT technologies related to the Fourth Industrial …
Load Balancing Scheme for Machine Learning Distributed Environment
Y Kim, J Lee, A Kim, J Hong - Smart Media Journal, 2021 - koreascience.kr
As the machine learning becomes more common, development of application using
machine learning is actively increasing. In addition, research on machine learning platform …
machine learning is actively increasing. In addition, research on machine learning platform …
Correcting the gaze depth by using DNN
SH Han, HS Jang - The Journal of Korea Institute of Information …, 2023 - koreascience.kr
Abstract if we know what we're looking at, we can get a lot of information. Due to the
development of eye tracking, Information on gaze point can be obtained through software …
development of eye tracking, Information on gaze point can be obtained through software …
[PDF][PDF] 몬테카를로 시뮬레이션을 활용한 실점 확률 최소화 구종 파악
장찬우, 남윤호, 이현록 - 대한산업공학회지, 2024 - jkiie.org
Although each sport has different characteristics, the main goal of a sports game is to win by
scoring at least one point more than the opponent, not about creating a large score …
scoring at least one point more than the opponent, not about creating a large score …
Financial Market Prediction and Improving the Performance Based on Large-scale Exogenous Variables and Deep Neural Networks
SG Cheon, JH Lee, BG Choi, JW Song - Smart Media Journal, 2020 - koreascience.kr
Attempts to predict future stock prices have been studied steadily since the past. However,
unlike general time-series data, financial time-series data has various obstacles to making …
unlike general time-series data, financial time-series data has various obstacles to making …
Prediction Model of the Number of Spectators in Korean Baseball League Using Machine Learning
WB Seo, RM Kil - Proceedings of the Korean Institute of Information …, 2019 - koreascience.kr
본 연구는 기존 관중 수 예측에 주로 사용되는 ARIMA 모형과 다른 GKFN (Network with
Gaussian kernel functions) 모델을 시계열 모델로 제안하고 여러 변수 간의 상관관계를 분석한 …
Gaussian kernel functions) 모델을 시계열 모델로 제안하고 여러 변수 간의 상관관계를 분석한 …