Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Khin T. Lwin"'
Publikováno v:
Journal of Enterprise Information Management. 36:747-766
PurposePhishing attacks have evolved in recent years due to high-tech-enabled economic growth worldwide. The rise in all types of fraud loss in 2019 has been attributed to the increase in deception scams and impersonation, as well as to sophisticated
Publikováno v:
SKIMA
Phishers sometimes exploit users’ trust of a known website’s appearance by using a similar page that looks like the legitimate site. In recent times, researchers have tried to identify and classify the issues that can contribute to the detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28f5b349dfe60f71f575b399183e32ed
Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays
Autor:
Mohammed Alamgir Hossain, Jeannette Chin, Marzia Hoque Tania, Mohammad Najlah, Antesar M. Shabut, Khin T. Lwin
This paper aims to deliberately examine the scope of an intelligent colourimetric test that fulfils ASSURED criteria (Affordable, Sensitive, Specific, User-friendly, Rapid and robust, Equipment-free, and Deliverable) and demonstrate the claim as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5d9a7c6a10c3ba71c823020e249a321
https://ueaeprints.uea.ac.uk/id/eprint/71837/
https://ueaeprints.uea.ac.uk/id/eprint/71837/
Publikováno v:
2019 22nd International Conference on Computer and Information Technology (ICCIT).
Different benchmarks have played an important role in analysing algorithms for dynamic multi-objective optimisation problems. According to the literature, there are several benchmarks to deal with the dynamic multi-objective optimisation problems, es
Autor:
Mahmudul Hasan, Maryam Imani, Mohammed Alamgir Hossain, Luiz F. Bittencourt, Khin T. Lwin, Antesar M. Shabut
Dynamic multi-objective optimisation problem (DMOP) has brought a great challenge to the reinforcement learning (RL) research area due to its dynamic nature such as objective functions, constraints and problem parameters that may change over time. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d69579072d6ba36454abd87820d58c0
https://arro.anglia.ac.uk/id/eprint/704727/1/Hasan_et_al_2019_3.pdf
https://arro.anglia.ac.uk/id/eprint/704727/1/Hasan_et_al_2019_3.pdf
Autor:
Mohammed Alamgir Hossain, Antesar M. Shabut, Nor Azah Yusof, Kamal Abuhassan, Khin T. Lwin, Marzia Hoque Tania, Benjamin A. Evans
This paper presents an investigation into the development of an intelligent mobile-enabled expert system to perform an automatic detection of tuberculosis (TB) disease in real-time. One third of the global population are infected with the TB bacteriu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc086efdbca0f702744215127050d5f4
https://ueaeprints.uea.ac.uk/id/eprint/67542/
https://ueaeprints.uea.ac.uk/id/eprint/67542/
Publikováno v:
2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE).
In this paper, we present machine learning based detection methods for a qualitative colorimetric test. Such an automatic system on mobile platform can emancipate the test result from the color perception of individuals and its subjectivity of interp
Autor:
Mohammed Alamgir Hossain, Mufti Mahmud, Ahmed Sarhan, Mohammed Shamim Kaiser, Tawee Chaipimonplin, Donya Hajializadeh, Khin T. Lwin
The recent expansion of pervasive computing technology has contributed with novel means to pursue human activities in urban space. The urban dynamics unveiled by these means generate an enormous amount of data. These data are mainly endowed by portab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee3ea3ea1bf56b53cae9dd5563f38709
https://irep.ntu.ac.uk/id/eprint/34128/1/11599_Mahmud.pdf
https://irep.ntu.ac.uk/id/eprint/34128/1/11599_Mahmud.pdf
Autor:
Nicola Cortesi, Mohammed Alamgir Hossain, Kevin Gotti, Giuseppe Psaila, Federica Burini, Khin T. Lwin
Publikováno v:
SKIMA
This work analyses the existing connections between public spaces in the city, by developing a new ranking method based on the information related to citizens' movement in the urban space using social media. We propose a NodeRank algorithm, a modifie
Publikováno v:
Applied Soft Computing. 24:757-772
Graphical abstractDisplay Omitted HighlightsA learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization problem is proposed.Four practical constraints, cardinality, quantity, pre-assignment and round lot, are consi