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pro vyhledávání: '"Lotfi, Ahmad"'
Online Grooming (OG) is a prevalent threat facing predominately children online, with groomers using deceptive methods to prey on the vulnerability of children on social media/messaging platforms. These attacks can have severe psychological and physi
Externí odkaz:
http://arxiv.org/abs/2409.07958
Autor:
Kar, Purna, Bird, Jordan J., Xing, Yangang, Sumich, Alexander, Knight, Andrew, Lotfi, Ahmad, van Barthold, Benedict Carpenter
Biophilia is an innate love for living things and nature itself that has been associated with a positive impact on mental health and well-being. This study explores the application of deep learning methods for the classification of Biophilic artwork,
Externí odkaz:
http://arxiv.org/abs/2403.05394
Autor:
Monari, Dennis, Larkin, Jack, Machado, Pedro, Bird, Jordan J., Ihianle, Isibor Kennedy, Yahaya, Salisu Wada, Tash, Farhad Fassihi, Hasan, Md Mahmudul, Lotfi, Ahmad
Invasive signal crayfish have a detrimental impact on ecosystems. They spread the fungal-type crayfish plague disease (Aphanomyces astaci) that is lethal to the native white clawed crayfish, the only native crayfish species in Britain. Invasive signa
Externí odkaz:
http://arxiv.org/abs/2401.06157
Autor:
Bird, Jordan J., Lotfi, Ahmad
There are growing implications surrounding generative AI in the speech domain that enable voice cloning and real-time voice conversion from one individual to another. This technology poses a significant ethical threat and could lead to breaches of pr
Externí odkaz:
http://arxiv.org/abs/2308.12734
Autor:
Bird, Jordan J., Lotfi, Ahmad
Recent technological advances in synthetic data have enabled the generation of images with such high quality that human beings cannot tell the difference between real-life photographs and Artificial Intelligence (AI) generated images. Given the criti
Externí odkaz:
http://arxiv.org/abs/2303.14126
Autor:
Koralalage, Pavithra, Fakeye, Ireoluwa, Machado, Pedro, Smith, Jason, Ihianle, Isibor Kennedy, Yahaya, Salisu Wada, Oikonomou, Andreas, Lotfi, Ahmad
Spiking Neural Networks (SNNs) emerged as a promising solution in the field of Artificial Neural Networks (ANNs), attracting the attention of researchers due to their ability to mimic the human brain and process complex information with remarkable sp
Externí odkaz:
http://arxiv.org/abs/2302.03506
Autor:
Ihianle, Isibor Kennedy, Machado, Pedro, Owa, Kayode, Adama, David Ada, Otuka, Richard, Lotfi, Ahmad
Publikováno v:
In Expert Systems With Applications 1 April 2024 239
Publikováno v:
In Information Sciences July 2023 633:170-181