Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Ramzan Talib"'
Publikováno v:
IEEE Access, Vol 11, Pp 57683-57692 (2023)
Aspect-context sentiment classification aims to classify the sentiments about an aspect that corresponds to its context. Typically, machine learning models considers the aspect and context separately. They do not execute the aspect and context in par
Externí odkaz:
https://doaj.org/article/fcde379f72f541f1b20e589e5d9f6d49
Publikováno v:
IEEE Access, Vol 10, Pp 753-769 (2022)
Predictive analytics has become an essential area of research in health informatics. The availability of multi-source and multi-modal data in healthcare has made the disease prediction, diagnosis, and medication process more effective and reliable. H
Externí odkaz:
https://doaj.org/article/501fb44842504b4d831411a56d668c5b
Autor:
Muhammad Bilal Sarwar, Muhammad Kashif Hanif, Ramzan Talib, Muhammad Younas, Muhammad Umer Sarwar
Publikováno v:
IEEE Access, Vol 9, Pp 113705-113713 (2021)
Darknet is commonly known as the epicenter of illegal online activities. An analysis of darknet traffic is essential to monitor real-time applications and activities running over the Darknet. Recognizing network traffic bound to unused Internet addre
Externí odkaz:
https://doaj.org/article/8f28e1397cc641fa871fbbf748a61be3
Publikováno v:
Complexity, Vol 2022 (2022)
Caricatures can help to understand the perception of a face. The prominent facial feature of a subject can be exaggerated, so the subject can be easily identified by humans. Recently, significant progress has been made to face detection and recogniti
Externí odkaz:
https://doaj.org/article/4f4c8c6484db4a6da476f14b51170f24
Publikováno v:
IEEE Access, Vol 8, Pp 32270-32279 (2020)
A stochastic automaton is a non-deterministic automata with input and output behavior which works serially and synchronously. Stochastic automata is being used in different application areas. For large state space and sequence lengths, performance of
Externí odkaz:
https://doaj.org/article/fa62acff73b94eb7a58585cf2602bcd5
Publikováno v:
IEEE Access, Vol 8, Pp 212838-212854 (2020)
In natural language processing, text summarization is an important application used to extract desired information by reducing large text. Existing studies use keyword-based algorithms for grouping text, which do not give the documents' actual theme.
Externí odkaz:
https://doaj.org/article/ff16f7e4c7024270a14857044e7f0ea8
Publikováno v:
IEEE Access, Vol 8, Pp 210763-210774 (2020)
The success of data mining learned rules highly depends on its actionability: how useful it is to perform suitable actions in any real business environment. To improve rule actionability, different researchers have initially presented various Data Mi
Externí odkaz:
https://doaj.org/article/61c705d8e55c4935aa73a2e083b5f842
Autor:
Shahbaz Ahmad, Muhammad Asif, Ramzan Talib, Muhammad Adeel, Muhammad Yasir, Muhammad H. Chaudary
Publikováno v:
Journal of Infection and Public Health, Vol 11, Iss 4, Pp 472-485 (2018)
Background: Dengue fever is viral disease which spreads due to the bite of the Aedes aegypti mosquito. In recent years, it has affected around 40% population of the world. Its endemic flow has led to a large disease burden, in terms of human and fina
Externí odkaz:
https://doaj.org/article/a14d739297ce4c00a8f2570488c5beeb
Publikováno v:
Computers, Materials & Continua. 74:6879-6892
Autor:
Noor Ul Sabah, Muhammad Murad Khan, Ramzan Talib, Muhammad Anwar, Muhammad Sheraz Arshad Malik, Puteri Nor Ellyza Nohuddin
Publikováno v:
Computers, Materials & Continua. 75:4955-4972