Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Oluwasegun Ojo"'
Autor:
Olusola Bamisile, Dongsheng Cai, Ariyo Oluwasanmi, Chukwuebuka Ejiyi, Chiagoziem C. Ukwuoma, Oluwasegun Ojo, Mustapha Mukhtar, Qi Huang
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-26 (2022)
Abstract Solar energy-based technologies have developed rapidly in recent years, however, the inability to appropriately estimate solar energy resources is still a major drawback for these technologies. In this study, eight different artificial intel
Externí odkaz:
https://doaj.org/article/d34466a1e2904d408f2e035afb335033
Autor:
Olusola Bamisile, Oluwasegun Ojo, Nasser Yimen, Humphrey Adun, Jian Li, Sandra Obiora, Qi Huang
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 6246-6259 (2021)
In the transition towards a cleaner and more sustainable global energy production and consumption, the energy security index (ESI) is an integral deciding factor for many countries. In this paper, the dynamics of China’s energy security index is co
Externí odkaz:
https://doaj.org/article/43662ab37ee74a27b2ec99b75663ff5b
Publikováno v:
Journal of Agricultural Extension, Vol 25, Iss 3 (2021)
The study assessed the roles of forestry extension service in forest conservation in Cross River State. The specific objectives were to: examine extension role of forest officers in forest conservation; identify forest officers’ extension trai
Externí odkaz:
https://doaj.org/article/5a0de96f575148ca8f719d6109f07df4
Autor:
Carlos Baquero, Paolo Casari, Antonio Fernandez Anta, Amanda García-García, Davide Frey, Augusto Garcia-Agundez, Chryssis Georgiou, Benjamin Girault, Antonio Ortega, Mathieu Goessens, Harold A. Hernández-Roig, Nicolas Nicolaou, Efstathios Stavrakis, Oluwasegun Ojo, Julian C. Roberts, Ignacio Sanchez
Publikováno v:
Frontiers in Computer Science, Vol 3 (2021)
CoronaSurveys is an ongoing interdisciplinary project developing a system to infer the incidence of COVID-19 around the world using anonymous open surveys. The surveys have been translated into 60 languages and are continuously collecting participant
Externí odkaz:
https://doaj.org/article/b63bb8607e784433b1c943404c226623
Autor:
Augusto Garcia-Agundez, Oluwasegun Ojo, Harold A. Hernández-Roig, Carlos Baquero, Davide Frey, Chryssis Georgiou, Mathieu Goessens, Rosa E. Lillo, Raquel Menezes, Nicolas Nicolaou, Antonio Ortega, Efstathios Stavrakis, Antonio Fernandez Anta
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
During the initial phases of the COVID-19 pandemic, accurate tracking has proven unfeasible. Initial estimation methods pointed toward case numbers that were much higher than officially reported. In the CoronaSurveys project, we have been addressing
Externí odkaz:
https://doaj.org/article/e8e8da47d4274d3ab9fccb59ab7607f0
Autor:
Remigius Ikechukwu Ozioko, Chioma Blessing Nwigwe, Ifeanyi Miracle Nwafor, Onyinyechi Ifeanyi Nnadi, Anthonia Ngozi Asadu, Chukwuemeka Chiebonam Onyia, Innocent Achonam Enwelu, Felix Oluwasegun Ojo
Publikováno v:
Journal of Agricultural Extension, Vol 24, Iss 4 (2020)
Abstract This study ascertained food security situation of female-headed households in Enugu State, Nigeria. The study objectives were to identify livelihood activities of respondents, food security situation, factors that affect food security, an
Externí odkaz:
https://doaj.org/article/77e7bbf0abf7430192dd40b820f09b38
Autor:
Juan M. Ramírez, Sergio Díaz-Aranda, Jose Aguilar, Oluwasegun Ojo, Rosa Elvira Lillo, Antonio Fernández Anta
In this work we estimate the incidence of COVID-19 in China using online indirect surveys (which preserve the privacy of the participants). The indirect surveys deployed collect data on the incidence of COVID-19, asking the participants about the num
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e294721c62b0bda79e9087ce875ed0e
https://doi.org/10.1101/2023.02.22.23286167
https://doi.org/10.1101/2023.02.22.23286167
Publikováno v:
Advances in Data Analysis and Classification. 16:725-760
We propose two new outlier detection methods, for identifying and classifying different types of outliers in (big) functional data sets. The proposed methods are based on an existing method called Massive Unsupervised Outlier Detection (MUOD). MUOD d
Autor:
Javier Álvarez, Carlos Baquero, Elisa Cabana, Jaya Prakash Champati, Antonio Fernández Anta, Davide Frey, Augusto Garcia-Agundez, Chryssis Georgiou, Mathieu Goessens, Harold Hernández, Rosa Lillo, Raquel Menezes, Raúl Moreno, Nicolas Nicolaou, Oluwasegun Ojo, Antonio Ortega, Estrella Rausell, Jesús Rufino, Efstathios Stavrakis, Govind Jeevan, Christin Glorioso
Introduction: Having accurate and timely data on active COVID-19 cases is challenging, since it depends on the availability of an appropriate infrastructure to perform tests and aggregate their results. In this work, we propose alternative methods to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acb2c2c73c35753917c3263c6b2ad70d
https://doi.org/10.1101/2021.12.09.21267355
https://doi.org/10.1101/2021.12.09.21267355
Autor:
Antonio Fernández Anta, Harold Hernández, Rosa E. Lillo, Chryssis Georgiou, Antonio Ortega, Nicolas Nicolaou, Raquel Menezes, Davide Frey, Oluwasegun Ojo, Carlos Baquero, Augusto Garcia-Agundez, Mathieu Goessens, Efstathios Stavrakis
Publikováno v:
Frontiers in Public Health
Frontiers in Public Health, Frontiers Media S.A., 2021, 9, pp.1-5. ⟨10.3389/fpubh.2021.658544⟩
Frontiers in Public Health, 2021, 9, pp.1-5. ⟨10.3389/fpubh.2021.658544⟩
IMDEA Networks Institute Digital Repository
IMDEA Networks Institute
instname
Frontiers in Public Health, Vol 9 (2021)
Frontiers in Public Health, Frontiers Media S.A., 2021, 9, pp.1-5. ⟨10.3389/fpubh.2021.658544⟩
Frontiers in Public Health, 2021, 9, pp.1-5. ⟨10.3389/fpubh.2021.658544⟩
IMDEA Networks Institute Digital Repository
IMDEA Networks Institute
instname
Frontiers in Public Health, Vol 9 (2021)
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: https://github.com/GCGImdea/coronasurveys.
During the initial phases of the COVID-19 pand
During the initial phases of the COVID-19 pand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47aa5bfa9910ba81707d92c733075c22
https://hal.inria.fr/hal-03518670
https://hal.inria.fr/hal-03518670