Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Khuat Thanh Tung"'
This paper addresses the challenges of predicting bioprocess performance, particularly in monoclonal antibody (mAb) production, where conventional statistical methods often fall short due to time-series data's complexity and high dimensionality. We p
Externí odkaz:
http://arxiv.org/abs/2411.01404
Biopharmaceutical products, particularly monoclonal antibodies (mAbs), have gained prominence in the pharmaceutical market due to their high specificity and efficacy. As these products are projected to constitute a substantial portion of global pharm
Externí odkaz:
http://arxiv.org/abs/2409.02149
Autor:
Khuat Thanh Tung, Le My Hanh
Publikováno v:
Journal of Intelligent Systems, Vol 27, Iss 3, Pp 489-506 (2018)
In modern software development processes, software effort estimation plays a crucial role. The success or failure of projects depends greatly on the accuracy of effort estimation and schedule results. Many studies focused on proposing novel models to
Externí odkaz:
https://doaj.org/article/a0bac72c33764c638ec36baf443a8119
While machine learning (ML) has made significant contributions to the biopharmaceutical field, its applications are still in the early stages in terms of providing direct support for quality-by-design based development and manufacturing of biopharmac
Externí odkaz:
http://arxiv.org/abs/2310.09991
Autor:
Khuat Thanh Tung, Le Thi My Hanh
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 6, Iss 2, Pp 1115-1121 (2016)
Optical Character Recognition plays an important role in data storage and data mining when the number of documents stored as images is increasing. It is expected to find the ways to convert images of typewritten or printed text into machine-encoded t
Externí odkaz:
https://doaj.org/article/7c8a1b4708174fa587135c7c1e6eb245
Publikováno v:
ICTACT Journal on Soft Computing, Vol 6, Iss 3, Pp 1183-1191 (2016)
Stock prediction is to determine the future value of a company stock dealt on an exchange. It plays a crucial role to raise the profit gained by firms and investors. Over the past few years, many methods have been developed in which plenty of efforts
Externí odkaz:
https://doaj.org/article/492ab8ef8ff9418d97b58f822b387854
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 4 (2017)
Mutation testing – a fault-based technique for software testing – is a computationally expensive approach. One of the powerful methods to improve the performance of mutation without reducing effectiveness is to employ parallel processing, where
Externí odkaz:
https://doaj.org/article/953475a60f2644dfbf743d993313345f
Autor:
Khuat, Thanh Tung, Gabrys, Bogdan
Hyperbox-based machine learning algorithms are an important and popular branch of machine learning in the construction of classifiers using fuzzy sets and logic theory and neural network architectures. This type of learning is characterised by many s
Externí odkaz:
http://arxiv.org/abs/2210.02704
As automated machine learning (AutoML) systems continue to progress in both sophistication and performance, it becomes important to understand the `how' and `why' of human-computer interaction (HCI) within these frameworks, both current and expected.
Externí odkaz:
http://arxiv.org/abs/2205.04139