Zobrazeno 1 - 10
of 239
pro vyhledávání: '"Jin-Hee Yoon"'
Publikováno v:
IEEE Access, Vol 11, Pp 141610-141627 (2023)
One of the most critical vulnerabilities in authentication, commonly referred to as “broken authentication,” poses a harmful threat, leading to the compromise of user credentials and the unauthorized hijacking of sessions. Addressing these securi
Externí odkaz:
https://doaj.org/article/958cc4afd26e43a2a2d78ebce835533d
Autor:
Mohammad Farukh Hashmi, B. Kiran Kumar Ashish, Avinash G. Keskar, Neeraj Dhanraj Bokde, Jin Hee Yoon, Zong Woo Geem
Publikováno v:
IEEE Access, Vol 8, Pp 101293-101308 (2020)
In recent years, with the advancements in the Deep Learning realm, it has been easy to create and generate synthetically the face swaps from GANs and other tools, which are very realistic, leaving few traces which are unclassifiable by human eyes. Th
Externí odkaz:
https://doaj.org/article/9bf35962e2f641a291ebd8aba7e49d4c
Autor:
Khalid Hassan Sheikh, Shameem Ahmed, Krishnendu Mukhopadhyay, Pawan Kumar Singh, Jin Hee Yoon, Zong Woo Geem, Ram Sarkar
Publikováno v:
IEEE Access, Vol 8, Pp 158125-158141 (2020)
Selecting the most relevant features from a high dimensional dataset is always a challenging task. In this regard, the feature selection (FS) method acts as a solution to this problem mainly in the domain of data mining and machine learning. It aims
Externí odkaz:
https://doaj.org/article/1bd1c830c2e3479ca990f238362f1d92
Autor:
Trinav Bhattacharyya, Bitanu Chatterjee, Pawan Kumar Singh, Jin Hee Yoon, Zong Woo Geem, Ram Sarkar
Publikováno v:
IEEE Access, Vol 8, Pp 195929-195945 (2020)
Feature selection is a process to reduce the dimension of a dataset by removing redundant features, and to use the optimal subset of features for machine learning or data mining algorithms. This helps to minimize the time requirement to train a learn
Externí odkaz:
https://doaj.org/article/3af7eaf24dd0405fbd421d2df8b7e415
Publikováno v:
IEEE Transactions on Fuzzy Systems. 31:1593-1603
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::218e8bdf278d59a14a2dc20b834f39bc
https://doi.org/10.1109/tfuzz.2022.3206504
https://doi.org/10.1109/tfuzz.2022.3206504
Publikováno v:
Mathematics, Vol 10, Iss 3, p 337 (2022)
Non-linear activation functions are integral parts of deep neural architectures. Given the large and complex dataset of a neural network, its computational complexity and approximation capability can differ significantly based on what activation func
Externí odkaz:
https://doaj.org/article/0edaf4d0642c47eba4ce37684edab700
Autor:
Jin Hee Yoon, Seung Hoe Choi
Publikováno v:
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS. 22:245-251
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a62dfa33ab0978c28994f3b111d9929
https://doi.org/10.5391/ijfis.2022.22.3.245
https://doi.org/10.5391/ijfis.2022.22.3.245
Publikováno v:
Mathematics, Vol 9, Iss 21, p 2665 (2021)
In recent years, many researchers have utilized metaheuristic optimization algorithms along with fuzzy logic theory in their studies for various purposes. The harmony search (HS) algorithm is one of the metaheuristic optimization algorithms that is w
Externí odkaz:
https://doaj.org/article/f58a40afb84f4b04a61963b45f20692e
Publikováno v:
Complexity, Vol 2019 (2019)
Externí odkaz:
https://doaj.org/article/e1f42d2dfe5a453f953356041c40b40c
Publikováno v:
International Journal of Fuzzy Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d269e2489c210853fc2110ff7e9f7482
https://doi.org/10.1007/s40815-023-01499-w
https://doi.org/10.1007/s40815-023-01499-w