Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Appiah, Benjamin"'
Autor:
Commey, Daniel, Appiah, Benjamin, Frimpong, Bill K., Osei, Isaac, Hammond, Ebenezer N. A., Crosby, Garth V.
Publikováno v:
2023 IEEE 48th Conference on Local Computer Networks (LCN), Daytona Beach, FL, USA, 2023, pp. 1-9
Adversarial Training is a proven defense strategy against adversarial malware. However, generating adversarial malware samples for this type of training presents a challenge because the resulting adversarial malware needs to remain evasive and functi
Externí odkaz:
http://arxiv.org/abs/2405.12266
Autor:
Appiah, Benjamin Odei, Maharjan, Ravi
Aim: This study aims to ascertain how firms develop and maintain trust and the influences trust have in organizations. Method: This study was conducted through a qualitative research method with an inductive approach by using semi‐structured in‐d
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-32713
Perivolaropoulos has recently proposed a position-deformed Heisenberg algebra which includes a maximal length [Phys.Rev.95, 103523 (2017)]. He has shown that this length scale naturally emerges in the context of cosmological particle's horizon or cos
Externí odkaz:
http://arxiv.org/abs/2110.09926
Autor:
Appiah, Benjamin, Qin, Zhiguang, Abra, Ayidzoe Mighty, Kanpogninge, Ansuura JohnBosco Aristotle
Publikováno v:
In Computers & Security July 2021 106
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 4, Pp 4772-4796 (2021)
Distributed learning over data from sensor-based networks has been adopted to collaboratively train models on these sensitive data without privacy leakages. We present a distributed learning framework that involves the integration of secure multi-par
Externí odkaz:
https://doaj.org/article/101e97c832474a849ad920c4cc0cee1c
Autor:
Appiah, Benjamin
Optical spectroscopy and imaging has proving to be of diagnostic relevance in many organ sites. We use fluorescence and FTIR spectroscopy to study gynecological organ sites and develop classification algorithms for cancer diagnosis. Ovarian cancer is
Externí odkaz:
http://hdl.handle.net/1911/64377
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 4, Pp 3006-3033 (2021)
Multiple organizations would benefit from collaborative learning models trained over aggregated datasets from various human activity recognition applications without privacy leakages. Two of the prevailing privacy-preserving protocols, secure multi-p
Externí odkaz:
https://doaj.org/article/ffd401bfe504449b95a010360e07e316
Autor:
Appiah, Benjamin
We present an inverse model to decompose bulk fluorescence spectra and extract tissue biological parameters. By deconvolving the effects of absorption and scattering from measured spectra, we are able to extract the intrinsic contributions from cellu
Externí odkaz:
http://hdl.handle.net/1911/20485
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 4, Pp 4772-4796 (2021)
Distributed learning over data from sensor-based networks has been adopted to collaboratively train models on these sensitive data without privacy leakages. We present a distributed learning framework that involves the integration of secure multi-par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c47a86a4179bfd8c698470eeae5e055
http://www.aimspress.com/article/doi/10.3934/mbe.2021243?viewType=HTML
http://www.aimspress.com/article/doi/10.3934/mbe.2021243?viewType=HTML
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