Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Fazeel, Abid"'
Publikováno v:
AIMS Mathematics, Vol 8, Iss 9, Pp 19993-20017 (2023)
Energy operations and schedules are significantly impacted by load and energy forecasting systems. An effective system is a requirement for a sustainable and equitable environment. Additionally, a trustworthy forecasting management system enhances th
Externí odkaz:
https://doaj.org/article/35485de43b16497691de6388343192e8
Publikováno v:
IEEE Access, Vol 8, Pp 220980-220989 (2020)
Music classification is an essential application of Music Information Retrieval (MIR) in organizing extensive collections of music. The tasks to classify different music with reliable accuracy observed to be challenging. Most of these tasks employ ha
Externí odkaz:
https://doaj.org/article/0deb514e9042449ab174be7cc15221f4
Autor:
Mohsin Ashraf, Fazeel Abid, Ikram Ud Din, Jawad Rasheed, Mirsat Yesiltepe, Sook Fern Yeo, Merve T. Ersoy
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1476 (2023)
Music genre classification has a significant role in information retrieval for the organization of growing collections of music. It is challenging to classify music with reliable accuracy. Many methods have utilized handcrafted features to identify u
Externí odkaz:
https://doaj.org/article/b607c8cc97ac4253968ca40f36c15775
Publikováno v:
International Journal of Remote Sensing. 44:1151-1178
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46b31e3516a46ef24f69f8137268d548
https://doi.org/10.1080/01431161.2023.2176721
https://doi.org/10.1080/01431161.2023.2176721
Publikováno v:
Journal of Environmental Sciences. 122:150-161
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cbddf50637e2065a90b2d27e6512550
https://doi.org/10.1016/j.jes.2021.09.033
https://doi.org/10.1016/j.jes.2021.09.033
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2021 (2021)
Deep learning-based methodologies are significant to perform sentiment analysis on social media data. The valuable insights of social media data through sentiment analysis can be employed to develop intelligent applications. Among many networks, conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f48d31c294b14f60640cd3c155e5bdf0
https://doi.org/10.1155/2021/1428710
https://doi.org/10.1155/2021/1428710
Publikováno v:
Electronics; Volume 11; Issue 12; Pages: 1879
Breast cancer includes genetic and environmental factors and is the most prevalent malignancy in women contributing to the pathogenesis and progression of cancer. Breast cancer prognosis metastasizes towards bones, the liver, brain, and lungs, and is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::619fd466375c35a48a1d7af47a928544
Publikováno v:
International Journal of Control, Automation and Systems. 19:1998-2008
Learning from imbalanced data set is relatively new challenge for breast cancer diagnosis, where the diseases cases are often quite rare relative to normal population. Although traditional algorithms are all accuracy-oriented which result biased towa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9aada4bde2ff0bd799b555979102e7d
https://doi.org/10.1007/s12555-019-1061-x
https://doi.org/10.1007/s12555-019-1061-x
Publikováno v:
Computer Communications. 157:102-115
Subjectivity detection in the text is essential for sentiment analysis, which requires many techniques to perceive unanticipated means of communication. Few accomplishments adapted to capture the syntactic, semantic, and contextual sentimental inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::141049eb43c0425af156caab3a4480cf
https://doi.org/10.1016/j.comcom.2020.04.002
https://doi.org/10.1016/j.comcom.2020.04.002
Publikováno v:
Computer Communications. 154:129-137
Deep Learning is considered to leverage smart cities through social media sentiment analysis. The digital content in social media can be used for many smart city applications (SCAs) 1 . Classical convolutional neural networks (CNNs) are challenging t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6222b3e4ccec0b6dda1fcadf4b313e63
https://doi.org/10.1016/j.comcom.2020.02.044
https://doi.org/10.1016/j.comcom.2020.02.044