Zobrazeno 1 - 10
of 852
pro vyhledávání: '"Oyerinde, A"'
Ultra-fine-grained image recognition (UFGIR) categorizes objects with extremely small differences between classes, such as distinguishing between cultivars within the same species, as opposed to species-level classification in fine-grained image reco
Externí odkaz:
http://arxiv.org/abs/2409.11051
Autor:
Ayodeji Folorunsho Ajayi, Oluwadare Joshua Ogundipe, Lukman Olawale Ajayi, Abiodun Oyerinde, Omolola Funke Akinpelu
Publikováno v:
Journal of Basic and Applied Zoology, Vol 85, Iss 1, Pp 1-9 (2024)
Abstract Background This study investigated the adaptation mechanisms of Pigeons, Toads and Lizards during the rainy season in tropical savanna climates. Male Agama Lizards (Agama agama), Afep Pigeons (Columba unicincta) and Toads (Sclerophrys perret
Externí odkaz:
https://doaj.org/article/624a0d87d5b94bfab079c6e8ddefcf44
Autor:
Emezue, Chris, Nigatu, Hellina, Thinwa, Cynthia, Zhou, Helper, Muhammad, Shamsuddeen, Louis, Lerato, Abdulmumin, Idris, Oyerinde, Samuel, Ajibade, Benjamin, Samuel, Olanrewaju, Joshua, Oviawe, Onwuegbuzia, Emeka, Emezue, Handel, Ige, Ifeoluwatayo A., Tonja, Atnafu Lambebo, Chukwuneke, Chiamaka, Dossou, Bonaventure F. P., Etori, Naome A., Emmanuel, Mbonu Chinedu, Yousuf, Oreen, Aina, Kaosarat, David, Davis
Stopwords are fundamental in Natural Language Processing (NLP) techniques for information retrieval. One of the common tasks in preprocessing of text data is the removal of stopwords. Currently, while high-resource languages like English benefit from
Externí odkaz:
http://arxiv.org/abs/2304.12155
Autor:
S. F. Oladipo, O. V. Oyerinde
Publikováno v:
Journal of Applied Sciences and Environmental Management, Vol 28, Iss 10B Supplementary (2024)
Generally, in Nigeria, there is a problem of inadequate collection of data and information, particularly in forestry, which poses a severe threat to the effective management and sustainability of forest and forest resources. Hence, the objective of t
Externí odkaz:
https://doaj.org/article/f66dffaf1b9a4430a258d1610074f80e
Autor:
Oyerinde, Adedayo Stephen
Geologic models derived from static data alone typically fail to reproduce the production history of a reservoir, thus the importance of reconciling simulation models to the dynamic response of the reservoir. This necessity has been the motivation be
Externí odkaz:
http://hdl.handle.net/1969.1/85951
Autor:
Oyerinde, Adedayo Stephen
In the quest for production optimization from established resources, there is a continual interest in secondary and tertiary recovery methods. The success of these enhanced recovery methods, however, rely to a large extent on a sound understanding of
Externí odkaz:
http://hdl.handle.net/1969.1/2683
Autor:
O. I. ALABI, O. J. FATABO, S. C. OKENU, T. A. ONIMISI, G. O. OYERINDE, I. J. UDOH, A. I. OZOEZE, A. C. EGBA
Publikováno v:
Journal of Information Sciences, Vol 23, Iss 1 (2024)
Advancements of feature extraction enable the collection of prognostic data values which can be used to distinguish between benign and malignant tumours. While single learning models are capable of making predictions, combining weak learners to form
Externí odkaz:
https://doaj.org/article/433c8610d8a54fcba53dc736f162aac5
Autor:
Adewumi, Tosin, Adeyemi, Mofetoluwa, Anuoluwapo, Aremu, Peters, Bukola, Buzaaba, Happy, Samuel, Oyerinde, Rufai, Amina Mardiyyah, Ajibade, Benjamin, Gwadabe, Tajudeen, Traore, Mory Moussou Koulibaly, Ajayi, Tunde, Muhammad, Shamsuddeen, Baruwa, Ahmed, Owoicho, Paul, Ogunremi, Tolulope, Ngigi, Phylis, Ahia, Orevaoghene, Nasir, Ruqayya, Liwicki, Foteini, Liwicki, Marcus
Dialogue generation is an important NLP task fraught with many challenges. The challenges become more daunting for low-resource African languages. To enable the creation of dialogue agents for African languages, we contribute the first high-quality d
Externí odkaz:
http://arxiv.org/abs/2204.08083
Publikováno v:
In AEUE - International Journal of Electronics and Communications November 2024 186
Publikováno v:
In AEUE - International Journal of Electronics and Communications September 2024 184