Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Moses J. Eghan"'
Publikováno v:
Neural Processing Letters. 53:2649-2663
Diagnosing Alzheimer’s Disease (AD) in older people using magnetic resonance imaging (MRI) is quite hard since it requires the extraction of highly discriminative feature representation from similar brain patterns and pixel intensities. However, de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24a02f32b63553a41ebf186dcdc3c7d3
https://doi.org/10.1007/s11063-021-10514-w
https://doi.org/10.1007/s11063-021-10514-w
Autor:
Rui Xi, Lawrence Tandoh, Michael Y. Kpiebaareh, Moses J. Eghan, Maame G. Asante-Mensah, Mengshu Hou, Charles Roland Haruna, Barbie Eghan-Yartel
Publikováno v:
IEEE Access, Vol 7, Pp 77426-77435 (2019)
In this paper, we present an extension on a hybrid-based deduplication technique in entity reconciliation (ER), by proposing an algorithm that builds clusters upon receiving a pre-specified K number of clusters, and second developing a crowd-based pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70cb1cf6767795ca46da3b5b45c46fd3
https://doi.org/10.1109/access.2019.2920667
https://doi.org/10.1109/access.2019.2920667
Publikováno v:
Neural Information Processing ISBN: 9783030638351
ICONIP (3)
ICONIP (3)
Deep learning architecture has shown remarkable performance in machine learning and AI applications. However, training a spiking Deep Convolutional Neural Network (DCNN) while incorporating traditional CNN properties remains an open problem for resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43d30f76bdc20975070b818c9a9da209
https://doi.org/10.1007/978-3-030-63836-8_30
https://doi.org/10.1007/978-3-030-63836-8_30
Autor:
Paul K. Buah-Bassuah, Peter Osei-Wusu Adueming, Jerry Opoku-Ansah, Moses J. Eghan, Samuel Kyei, Samuel Sonko Sackey, Charles Lloyd Yeboah Amuah, Benjamin Anderson
Publikováno v:
Open Journal of Biophysics. :145-156
Cataracts are the leading cause of blindness worldwide. Current methods for discriminating cataractous lenses from healthy lenses of Sprague-Dawley rats during preclinical studies are based on either histopathological or clinical assessments which ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::861f2035b3d73090e5e71145a7f942b2
https://doi.org/10.4236/ojbiphy.2017.73011
https://doi.org/10.4236/ojbiphy.2017.73011
Publikováno v:
2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing.
The Bat Algorithm (BA) is a meta-heuristic algorithm based on echolocation behavior of microbats. The authors propose BA based Spiking Neural Network (SNN) model, where the advantages of BA and efficiency of SNN are exploited for classification tasks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e72ad88c3c9306de6100a9a007012cf4
https://doi.org/10.1109/iccwamtip47768.2019.9067549
https://doi.org/10.1109/iccwamtip47768.2019.9067549
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811368608
In real world, entities may occur several times in a database. These duplicates may have varying keys and/or include errors that make deduplication a difficult task. Deduplication cannot be solved accurately using either machine-based or crowdsourcin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e2091ccfbd37b64b3a33fb9002b665d
https://doi.org/10.1007/978-981-13-6861-5_44
https://doi.org/10.1007/978-981-13-6861-5_44
Autor:
Jerry Opoku-Ansah, Charles Lloyd Yeboah Amuah, Johnson Nyarko Boampong, R. Edziah, Peter Osei-Wusu Adueming, Moses J. Eghan, Benjamin Anderson
Publikováno v:
International Journal of Optics, Vol 2019 (2019)
Plasmodium falciparum (P. falciparum) malarial degree of infection, termed as parasite density (PD), estimation is vital for point-of-care diagnosis and treatment of the disease. In this work, we present application of optical techniques: optical abs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b8e92121a1506a46afe6ec2ce788e99
https://doaj.org/article/c28b438ae7644dd4a9b2713147f00f27
https://doaj.org/article/c28b438ae7644dd4a9b2713147f00f27
Autor:
Charles Lloyd Yeboah Amuah, Benjamin Anderson, Moses J. Eghan, Jerry Opoku-Ansah, Paul K. Buah-Bassuah, Peter Osei-Wusu Adueming
Publikováno v:
Journal of the Optical Society of America A. 37:C103
Laser-induced fluorescence (LIF) combined with multivariate techniques has been used in identifying antimalarial herbal plants (AMHPs) based on their geographical origin. The AMHP samples were collected from four geographical origins (Abrafo, Jukwa,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cba08b39034c9722f17c5222d01ec11c
https://doi.org/10.1364/josaa.396701
https://doi.org/10.1364/josaa.396701
Autor:
Samuel Kyei, Benjamin Anderson, Peter Osei-Wusu Adueming, Charles Lloyd Yeboah Amuah, Charles Darko Takyi, Paul K. Buah-Bassuah, Moses J. Eghan, Jerry Opoku-Ansah
Publikováno v:
Journal of the Optical Society of America A. 37:C27
Laser-induced autofluorescence (LIAF), combined with multivariate techniques, has been used to discriminate a cataractous lens from healthy lens tissues. In this study, 405 nm and 445 nm were used as excitation sources to induce the autofluorescence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d07fb9f8d3b1a75741b45513805f35bc
https://doi.org/10.1364/josaa.394555
https://doi.org/10.1364/josaa.394555
Autor:
Lawrence Tandoh, MengShu Hou, Barbie Eghan-Yartel, Maame G. Asante-Mensah, Moses J. Eghan, Michael Y. Kpiebaareh, Charles Roland Haruna
Publikováno v:
ICSAI
In real world, databases often have several records representing the same entity and these duplicates have no common key, thus making deduplication difficult. Machine-based and crowdsourcing techniques were disjointly used in improving quality in dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcb45284fb7cb54266124945a198802a
https://doi.org/10.1109/icsai.2018.8599375
https://doi.org/10.1109/icsai.2018.8599375