Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Wasiur Rhmann"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 5083-5099 (2022)
The extensive growth of data in the health domain has increased the utility of Deep Learning in health. Deep learning is a highly advanced successor of artificial neural networks, having powerful computing ability. Due to the availability of fast dat
Externí odkaz:
https://doaj.org/article/b41a1338cc184b3c901d6e504fd8d687
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 32, Iss 4, Pp 419-424 (2020)
Quality of the developed software depends on its bug free operation. Although bugs can be introduced in any phase of the software development life-cycle but their identification in earlier phase can lead to reduce the allocation cost of testing and m
Externí odkaz:
https://doaj.org/article/c2aa9c8346924187ab01fff17242644d
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:5083-5099
The extensive growth of data in the health domain has increased the utility of Deep Learning in health. Deep learning is a highly advanced successor of artificial neural networks, having powerful computing ability. Due to the availability of fast dat
Autor:
Wasiur Rhmann
Publikováno v:
International Journal of Applied Metaheuristic Computing. 13:1-15
Any vulnerability in the software creates a software security threat and helps hackers to gain unauthorized access to resources. Vulnerability prediction models help software engineers to effectively allocate their resources to find any vulnerable cl
Autor:
Wasiur Rhmann
Machine learning and deep learning-based techniques are now widely used to identify and diagnose various diseases. However, getting a sufficient data for these machine learning models is difficult, and usually collected data is unbalanced i.e. less n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e3aeefb77d8315296a534e4de3d90c9
https://doi.org/10.21203/rs.3.rs-2084604/v1
https://doi.org/10.21203/rs.3.rs-2084604/v1
Autor:
Wasiur Rhmann
Publikováno v:
International Journal of Software Science and Computational Intelligence. 13:28-37
Software organizations rely on the estimation of efforts required for the development of software to negotiate customers and plan the schedule of the project. Proper estimation of efforts reduces the chances of project failures. Historical data of pr
Autor:
Wasiur Rhmann
Publikováno v:
International Journal of Open Source Software and Processes. 12:36-51
Software change prediction (SCP) is used for the prediction of changes earlier in the software development life cycle. It identifies the files that are change prone. Software maintenance costs can be reduced with the help of accurate prediction of ch
Publikováno v:
Innovations in Systems and Software Engineering. 18:309-319
Software effort estimation is an essential task for software organizations to allocate resources efficiently during the development of software and to negotiate with customers. Various machine learning techniques-based models are used to predict the
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 32, Iss 4, Pp 419-424 (2020)
Quality of the developed software depends on its bug free operation. Although bugs can be introduced in any phase of the software development life-cycle but their identification in earlier phase can lead to reduce the allocation cost of testing and m
Autor:
Gufran Ahmad Ansari, Wasiur Rhmann
Publikováno v:
International Journal of Open Source Software and Processes. 11:33-48
Software engineering repositories have been attracted by researchers to mine useful information about the different quality attributes of the software. These repositories have been helpful to software professionals to efficiently allocate various res