Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Noman Ashraf"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract Sentiment analysis (SA) is an important task because of its vital role in analyzing people’s opinions. However, existing research is solely based on the English language with limited work on low-resource languages. This study introduced a
Externí odkaz:
https://doaj.org/article/c7ca535bb2284b0ebd266018ef3236db
Publikováno v:
IEEE Access, Vol 10, Pp 37149-37163 (2022)
We needed to find deep emotional features to identify emotions from audio signals. Identifying emotions in spontaneous speech is a novel and challenging subject of research. Several convolutional neural network (CNN) models were used to learn deep se
Externí odkaz:
https://doaj.org/article/59bb7223b97c4a54b07edc0adc24d1e8
Publikováno v:
IEEE Access, Vol 9, Pp 97803-97812 (2021)
Although over 169 million people in the world are familiar with the Urdu language and a large quantity of Urdu data is being generated on different social websites daily, very few research studies and efforts have been completed to build language res
Externí odkaz:
https://doaj.org/article/1329c0cd62924ad7a8d06a34497a0b80
Publikováno v:
IEEE Access, Vol 9, Pp 167054-167066 (2021)
Energy consumption in the building sector accounts for a large percentage of global energy consumption. For this reason, it is essential to take action to minimize this destructive consumption and promote energy conservation practices within the buil
Externí odkaz:
https://doaj.org/article/21d6fd6343604e5f9348b69f4c8aac77
Publikováno v:
IEEE Access, Vol 9, Pp 128302-128313 (2021)
Automatic detection of threatening language is an important task, however, most of the existing studies focused on English as the target language, with limited work on low-resource languages. In this paper, we introduce and release a new dataset for
Externí odkaz:
https://doaj.org/article/6fc5021a9bc64850826cdd82f3fc8a10
Publikováno v:
PeerJ Computer Science, Vol 8, p e896 (2022)
Urdu is a widely used language in South Asia and worldwide. While there are similar datasets available in English, we created the first multi-label emotion dataset consisting of 6,043 tweets and six basic emotions in the Urdu Nastalíq script. A mult
Externí odkaz:
https://doaj.org/article/ccf19b56fa80484fa5fceed97be5f77d
Publikováno v:
Materials for Renewable and Sustainable Energy, Vol 9, Iss 3, Pp 1-13 (2020)
Abstract This article evaluates the thermal and energy performance of mortar blocks containing local agricultural waste. The mortar blocks were cast by the replacement of ordinary Portland cement (OPC) with varying amounts of date palm ash (DPA) in t
Externí odkaz:
https://doaj.org/article/c5b817734ca14a03a70073fa64572ffb
Autor:
Saleh H. Alyami, Ali Alqahtany, Noman Ashraf, Abdelbagi Osman, Naief Ali Aldossary, Ayman Almutlaqa, Faris Al-Maziad, Maher S. Alshammari, Wadee Ahmed Ghanem Al-Gehlani
Publikováno v:
Materials, Vol 15, Iss 24, p 9079 (2022)
In hot and humid climates, a significant part of the energy is used to cool the building. There are several ways to reduce this air conditioning load, but one standout is through the selection and design of the right building envelope and its compone
Externí odkaz:
https://doaj.org/article/5cefa80002364ea2a272a75e9033a29f
Publikováno v:
PeerJ Computer Science, Vol 7, p e742 (2021)
Nowadays, social media experience an increase in hostility, which leads to many people suffering from online abusive behavior and harassment. We introduce a new publicly available annotated dataset for abusive language detection in short texts. The d
Externí odkaz:
https://doaj.org/article/3a7fc43f435f4c5e81989b8dd4e095b1
Autor:
Noman Ashraf, Abid Rafiq, Sabur Butt, Hafiz Muhammad Faisal Shehzad, Grigori Sidorov, Alexander Gelbukh
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 42:4769-4777
On YouTube, billions of videos are watched online and millions of short messages are posted each day. YouTube along with other social networking sites are used by individuals and extremist groups for spreading hatred among users. In this paper, we co