Zobrazeno 1 - 10 of 49 pro vyhledávání: '"Joon S Lim"'
1
Akademický článek
Grad-CAM-Based Feature Selection and Dementia Classification Algorithm Using Voice Data
Autor: Hansol Ko, Bohyun Wang, Joon S. Lim
Publikováno v: Tehnički Vjesnik, Vol 31, Iss 6, Pp 2036-2044 (2024)
This study presents a unique methodology for dementia classification that harnesses voice data and integrates transfer learning, feature selection, and attention-based visualization. We examined two deep learning input techniques: one consolidating t
Externí odkaz: https://doaj.org/article/00e2ed6492f242639e2c065c99fc0505
Zobrazit plný text záznamu
2
Akademický článek
A Novel Methodology for Forecasting Business Cycles Using ARIMA and Neural Network with Weighted Fuzzy Membership Functions
Autor: Soo H. Chai, Joon S. Lim, Heejin Yoon, Bohyun Wang
Publikováno v: Axioms, Vol 13, Iss 1, p 56 (2024)
Economic forecasting is crucial since it benefits many different parties, such as governments, businesses, investors, and the general public. This paper presents a novel methodology for forecasting business cycles using an autoregressive integrated m
Externí odkaz: https://doaj.org/article/f88bfcec8f794b31b4de37a9274254ec
Zobrazit plný text záznamu
3
Akademický článek
A Study on the Features Selection Algorithm Based on the Measurement Method of the Distance Between Normal Distributions for Classification in Machine Learning
Autor: Byungju Shin, Minwoo Kim, Bohyun Wang, Joon S. Lim
Publikováno v: Tehnički Vjesnik, Vol 29, Iss 3, Pp 852-860 (2022)
Feature selection is an important technique that simplifies machine learning models to easily understand, shorten learning time, and reduce curve over-fitting or under-fitting. This paper presents a shape selection algorithm based on a method of inve
Externí odkaz: https://doaj.org/article/125b5fc448e04e348b04e07bf3d49999
Zobrazit plný text záznamu
4
Akademický článek
Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents
Autor: Minwoo Kim, Jinhee Bae, Bohyun Wang, Hansol Ko, Joon S. Lim
Publikováno v: Sensors, Vol 23, Iss 1, p 98 (2022)
In this study, we propose a method to automatically find features from a dataset that are effective for classification or prediction, using a new method called multi-agent reinforcement learning and a guide agent. Each feature of the dataset has one
Externí odkaz: https://doaj.org/article/4883930de37a4f95a01cf1aa3bde20f1
Zobrazit plný text záznamu
5
Akademický článek
Zoom-In Neural Network Deep-Learning Model for Alzheimer’s Disease Assessments
Autor: Bohyun Wang, Joon S. Lim
Publikováno v: Sensors, Vol 22, Iss 22, p 8887 (2022)
Deep neural networks have been successfully applied to generate predictive patterns from medical and diagnostic data. This paper presents an approach for assessing persons with Alzheimer’s disease (AD) mild cognitive impairment (MCI), compared with
Externí odkaz: https://doaj.org/article/d7dc76f4590848738536c452557e542e
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje