Zobrazeno 1 - 10
of 15 199
pro vyhledávání: '"Maina AN"'
Autor:
Romero, David, Lyu, Chenyang, Wibowo, Haryo Akbarianto, Lynn, Teresa, Hamed, Injy, Kishore, Aditya Nanda, Mandal, Aishik, Dragonetti, Alina, Abzaliev, Artem, Tonja, Atnafu Lambebo, Balcha, Bontu Fufa, Whitehouse, Chenxi, Salamea, Christian, Velasco, Dan John, Adelani, David Ifeoluwa, Meur, David Le, Villa-Cueva, Emilio, Koto, Fajri, Farooqui, Fauzan, Belcavello, Frederico, Batnasan, Ganzorig, Vallejo, Gisela, Caulfield, Grainne, Ivetta, Guido, Song, Haiyue, Ademtew, Henok Biadglign, Maina, Hernán, Lovenia, Holy, Azime, Israel Abebe, Cruz, Jan Christian Blaise, Gala, Jay, Geng, Jiahui, Ortiz-Barajas, Jesus-German, Baek, Jinheon, Dunstan, Jocelyn, Alemany, Laura Alonso, Nagasinghe, Kumaranage Ravindu Yasas, Benotti, Luciana, D'Haro, Luis Fernando, Viridiano, Marcelo, Estecha-Garitagoitia, Marcos, Cabrera, Maria Camila Buitrago, Rodríguez-Cantelar, Mario, Jouitteau, Mélanie, Mihaylov, Mihail, Imam, Mohamed Fazli Mohamed, Adilazuarda, Muhammad Farid, Gochoo, Munkhjargal, Otgonbold, Munkh-Erdene, Etori, Naome, Niyomugisha, Olivier, Silva, Paula Mónica, Chitale, Pranjal, Dabre, Raj, Chevi, Rendi, Zhang, Ruochen, Diandaru, Ryandito, Cahyawijaya, Samuel, Góngora, Santiago, Jeong, Soyeong, Purkayastha, Sukannya, Kuribayashi, Tatsuki, Jayakumar, Thanmay, Torrent, Tiago Timponi, Ehsan, Toqeer, Araujo, Vladimir, Kementchedjhieva, Yova, Burzo, Zara, Lim, Zheng Wei, Yong, Zheng Xin, Ignat, Oana, Nwatu, Joan, Mihalcea, Rada, Solorio, Thamar, Aji, Alham Fikri
Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge present in both visual and textual data. However, most of the current VQA
Externí odkaz:
http://arxiv.org/abs/2406.05967
Recently, large multi-modal models (LMMs) have emerged with the capacity to perform vision tasks such as captioning and visual question answering (VQA) with unprecedented accuracy. Applications such as helping the blind or visually impaired have a cr
Externí odkaz:
http://arxiv.org/abs/2406.00980
We propose an interactive approach to language learning that utilizes linguistic acceptability judgments from an informant (a competent language user) to learn a grammar. Given a grammar formalism and a framework for synthesizing data, our model iter
Externí odkaz:
http://arxiv.org/abs/2405.04726
Publikováno v:
BMC Infectious Diseases, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background Estimates of Group B Streptococcus (GBS) disease burden, antimicrobial susceptibility, and serotypes in pregnant women are limited for many resource-limited countries including Kenya. These data are required to inform recommendati
Externí odkaz:
https://doaj.org/article/91d7395c4a9f4e04bbcdd9e20d6317dd
Publikováno v:
Energies, Vol 15, Iss 22, p 8671 (2022)
Photovoltaic (PV) energy source generation is becoming more and more common with a higher penetration level in the smart grid because of PV energy’s falling production costs. PV energy is intermittent and uncertain due to its dependence on irradian
Externí odkaz:
https://doaj.org/article/059d99a760ea464d9ba204a544a12c13
Autor:
Chanachai, Jariya, Asamoah, Ernest F., Maina, Joseph M., Wilson, Peter D., Nipperess, David A., Esperon-Rodriguez, Manuel, Beaumont, Linda J.
Publikováno v:
Diversity and Distributions, 2024 Jul 01. 30(7), 1-16.
Externí odkaz:
https://www.jstor.org/stable/48777295
Autor:
Maina Antoine Nassourou, Tchiagam Jean Baptiste Noubissié, Yanou Nicolas Njintang, Joseph Martin Bell
Publikováno v:
Crop Journal, Vol 5, Iss 6, Pp 553-559 (2017)
The content of soluble sugar in cowpea (Vigna unguiculata L. Walp.) seeds is important for their acceptability to consumers. The objective of this study was to evaluate the genetic control of soluble sugar content in cowpea using diallel analysis. Fo
Externí odkaz:
https://doaj.org/article/84e70edcbd304d5fbd7e7a8eafe20193
Autor:
Bialy, Nikki, Alber, Frank, Andrews, Brenda, Angelo, Michael, Beliveau, Brian, Bintu, Lacramioara, Boettiger, Alistair, Boehm, Ulrike, Brown, Claire M., Maina, Mahmoud Bukar, Chambers, James J., Cimini, Beth A., Eliceiri, Kevin, Errington, Rachel, Faklaris, Orestis, Gaudreault, Nathalie, Germain, Ronald N., Goscinski, Wojtek, Grunwald, David, Halter, Michael, Hanein, Dorit, Hickey, John W., Lacoste, Judith, Laude, Alex, Lundberg, Emma, Ma, Jian, Malacrida, Leonel, Moore, Josh, Nelson, Glyn, Neumann, Elizabeth Kathleen, Nitschke, Roland, Onami, Shuichi, Pimentel, Jaime A., Plant, Anne L., Radtke, Andrea J., Sabata, Bikash, Schapiro, Denis, Schöneberg, Johannes, Spraggins, Jeffrey M., Sudar, Damir, Vierdag, Wouter-Michiel Adrien Maria, Volkmann, Niels, Wählby, Carolina, Siyuan, Wang, Yaniv, Ziv, Strambio-De-Castillia, Caterina
Together with the molecular knowledge of genes and proteins, biological images promise to significantly enhance the scientific understanding of complex cellular systems and to advance predictive and personalized therapeutic products for human health.
Externí odkaz:
http://arxiv.org/abs/2401.13022
Publikováno v:
Discover Internet of Things, Vol 4, Iss 1, Pp 1-25 (2024)
Abstract Pre-eclampsia (PET) is a hypertensive disease that occurs during pregnancy or in the postpartum period. It complicates 2% to 8% of all pregnancies and is one of the causes of more than 50,000 maternal deaths and over 500,000 fetal deaths wor
Externí odkaz:
https://doaj.org/article/91e343b1e9414fe99b944256fa1d187a
Soft robotics, with their inherent flexibility and infinite degrees of freedom (DoF), offer promising advancements in human-machine interfaces. Particularly, pneumatic artificial muscles (PAMs) and pneumatic bending actuators have been fundamental in
Externí odkaz:
http://arxiv.org/abs/2309.09423