Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Jaf, Sardar"'
Autor:
Elabd, Mazen, Jaf, Sardar
Big data contain rich information for machine learning algorithms to utilize when learning important features during classification tasks. Human beings express their emotion using certain words, speech (tone, pitch, speed) or facial expression. Artif
Externí odkaz:
http://arxiv.org/abs/2407.00134
Publikováno v:
Information 2022, 13(1), 41
Chatbots are intelligent conversational computer systems designed to mimic human conversation to enable automated online guidance and support. The increased benefits of chatbots led to their wide adoption by many industries in order to provide virtua
Externí odkaz:
http://arxiv.org/abs/2201.06657
Autor:
Medhat, Fady, Mohammadi, Mahnaz, Jaf, Sardar, Willcocks, Chris G., Breckon, Toby P., Matthews, Peter, McGough, Andrew Stephen, Theodoropoulos, Georgios, Obara, Boguslaw
Publikováno v:
IEEE International Conference on Big Data (Big Data) 2018
Handling large corpuses of documents is of significant importance in many fields, no more so than in the areas of crime investigation and defence, where an organisation may be presented with a large volume of scanned documents which need to be proces
Externí odkaz:
http://arxiv.org/abs/1904.12387
Dropout is a crucial regularization technique for the Recurrent Neural Network (RNN) models of Natural Language Inference (NLI). However, dropout has not been evaluated for the effectiveness at different layers and dropout rates in NLI models. In thi
Externí odkaz:
http://arxiv.org/abs/1810.08606
Autor:
Jaf, Sardar
The process of determining the structural relationships between words in both natural and machine languages is known as parsing. Parsers are used as core components in a number of Natural Language Processing (NLP) applications such as online tutoring
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664581
Publikováno v:
AIP Conference Proceedings; 2023, Vol. 2643 Issue 1, p1-8, 8p
Publikováno v:
International Journal of Advanced Computer Science and Applications. 13
COVID-19 has altered the way businesses throughout the world perceive cyber security. It resulted in a series of unique cyber-crime-related conditions that impacted society and business. Distributed Denial of Service (DDoS) has dramatically increased
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b578fabaa1faad5c41f4af18b92d024
https://doi.org/10.14569/ijacsa.2022.0130105
https://doi.org/10.14569/ijacsa.2022.0130105
Autor:
Jaf, Sardar1, Ghafir, Ibrahim1,2, Prenosil, Vaclav2, Saleem, Jibran3, Hammoudeh, Mohammad3, Faour, Hanan4, Jabbar, Sohail5, Baker, Thar6
Publikováno v:
Journal of Supercomputing. Oct2018, Vol. 74 Issue 10, p4986-5002. 17p.
Autor:
Hudson, Thomas, Jaf, Sardar
Publikováno v:
Proceedings of the 17th International Workshop on Treebanks and Linguistic Theories (TLT 2018)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::057532ef7f207a1670de56c0dfe06c91
Autor:
Medhat, Fady, Mohammadi, Mahnaz, Jaf, Sardar, Willcocks, G. Chris, Breckon, Toby, McGough, Stephen, Theodoropoulos, Georgios, Obara, Boguslaw
Publikováno v:
IEEE International Conference on Big Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::b66f0582450e48f63e44f870fed537ad