Zobrazeno 1 - 10
of 353
pro vyhledávání: '"Isibor, P."'
Autor:
Silva, Ravidu Suien Rammuni, Lotfi, Ahmad, Ihianle, Isibor Kennedy, Shahtahmassebi, Golnaz, Bird, Jordan J.
Recently, the quality of artworks generated using Artificial Intelligence (AI) has increased significantly, resulting in growing difficulties in detecting synthetic artworks. However, limited studies have been conducted on identifying the authenticit
Externí odkaz:
http://arxiv.org/abs/2412.01512
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:
Alex, Ajay John, Barnes, Chloe M., Machado, Pedro, Ihianle, Isibor, Markó, Gábor, Bencsik, Martin, Bird, Jordan J.
In an era of rapid climate change and its adverse effects on food production, technological intervention to monitor pollinator conservation is of paramount importance for environmental monitoring and conservation for global food security. The surviva
Externí odkaz:
http://arxiv.org/abs/2405.15428
Autor:
Swann, Michael, Machado, Pedro, Ihianle, Isibor Kennedy, Yahaya, Salisu, Zorriassatine, Farbod, Oikonomou, Andreas
The SmartAntenna proposes a novel approach to extend wireless communication, focusing on autonomous orientation to extend range and optimize performance. Through meticulous evaluation, various aspects of its functionality were assessed, revealing bot
Externí odkaz:
http://arxiv.org/abs/2405.11411
Autor:
Gazzard, Matthew, Hicks, Helen, Ihianle, Isibor Kennedy, Bird, Jordan J., Hasan, Md Mahmudul, Machado, Pedro
Blackgrass (Alopecurus myosuroides) is a competitive weed that has wide-ranging impacts on food security by reducing crop yields and increasing cultivation costs. In addition to the financial burden on agriculture, the application of herbicides as a
Externí odkaz:
http://arxiv.org/abs/2405.07349
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:
Maxwell Omeje, Muyiwa M. Orosun, Godfrey U. Aimua, Olusegun O. Adewoyin, Soheil Sabri, Hitler Louis, Emmanuel S. Joel, Conrad A. Omohinmin, Eze F. Ahuekwe, Patrick O. Isibor, Mojisola R. Usikalu, Ifeanyi A. Oha, Nuradeen N. Garba, Terkaa V. Targema
Publikováno v:
All Earth, Vol 36, Iss 1, Pp 1-19 (2024)
The Unumherin community in Nigeria’s Niger Delta is home to coastal marine polluted zones, and this research examines the radioactivity distributions and biohazard in the coastal environment. The activity concentrations of 40K, 238U, 232Th, as well
Externí odkaz:
https://doaj.org/article/d5160fc7a84a41a3a927149154fa1006
Autor:
Paul Akinniyi Akinduti, Babatunde Olanrewaju Motayo, El-Ashker Maged, Patrick Omoregie Isibor
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The whole genome sequence (WGS) of prevalent MRSA strains harboring mecA gene obtained from skin and soft tissue infections (SSTIs) in Nigerian hospitals were profiled for pathogenomic structure and evaluated for clonal diversity. The two MR
Externí odkaz:
https://doaj.org/article/813980f5fc6c46819a9a498bc69ba1f2
Autor:
Dhesi, Saminder, Fontes, Laura, Machado, Pedro, Ihianle, Isibor Kennedy, Tash, Farhad Fassihi, Adama, David Ada
Deep learning constitutes a pivotal component within the realm of machine learning, offering remarkable capabilities in tasks ranging from image recognition to natural language processing. However, this very strength also renders deep learning models
Externí odkaz:
http://arxiv.org/abs/2302.11704
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