Search Results - B3 (classification)

Whole-genome sequencing of SARS-CoV-2 reveals diverse mutations in circulating Alpha and Delta variants during the first, second and third waves of COVID-19 in South Kivu, east of... by Ntagereka, P.B., Oyola, Samuel O., Baenyi, S.P., Rono, Gilbert K., Birindwa, A.B., Shukuru, D.W., Baharanyi, T.C., Kashosi, T.M., Buhendwa, J.C., Bisimwa, P.B., Kusinza, A.B., Basengere, R.A., Mukwege, D.

“…Results: Phylogenetic analysis based on Pangolin classification clustered South Kivu sequences into seven lineages (A.23.1, B.1.1.6, B.1.214, B.1.617.2, B.1.351, C.16 and P.1). …”
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Acoustic response discrimination of phulae pineapple maturity and defects using factor analysis of mixed data and machine learning algorithms by Arwatchananukul, Sujitra, Chaiwong, Saowapa, Aunsri, Nattapol, Kittiwachana, Sila, Luengwilai, Kietsuda, Trongsatitkul, Tatiya, Mahajan, Pramod, Blasco, José, Rattapon, Saengrayap

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Woodland cover change in the Central Rift Valley of Ethiopia by Mesfin, Demamu, Simane, Belay, Belay, Abrham, Recha, John W.M., Taddese, Habitamu

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Balancing sensitivity and specificity enhances top and bottom ranking in genomic prediction of cultivars by Montesinos-Lopez, Osval A., Kismiantini, Alemu, Admas, Montesinos-López, Abelardo, Montesinos-Lopez, José Cricelio, Crossa, Jose

“…When looking at the Kappa coefficient, the RO model was better than models B, BO, R, and RC by 37.46, 36.21, 52.18, and 3.95%, respectively. …”
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Using Sentinel-1, Sentinel-2, and planet imagery to map crop type of smallholder farms by Rao, Preeti, Zhou, Weiqi, Bhattarai, Nishan, Srivastava, Amit K., Singh, Balwinder, Poonia, Shishpal, Lobell, David B., Jain, Meha

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Semi-automated methods for mapping wetlands using Landsat ETM+ and SRTM data by Islam, Aminul, Thenkabail, Prasad S., Kulawardhana, Wasantha, Alankara, Ranjith, Gunasinghe, Sarath, Edussuriya, C., Gunawardana, A.

“…The best FCC RGB displays of ETM+ bands for separating wetlands from other land units were: (a) ETM+4/ETM+7, ETM+4/ETM+3, ETM+4/ETM+2, (b) ETM+4, ETM+3, ETM+5 and (c) ETM+3, ETM+2, ETM+1. …”
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Discriminating Robusta coffee (Coffea canephora) cropping systems using leaf-level hyperspectral data by Kebede, G., Mudereri, B.T., Abdel-Rahman, E.M., Mutanga, O., Landmann, T., Odindi, J., Motisi, N., Pinard, F., Tonnang, H.E.Z.

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The complete genome sequence of a divergent grapevine virus I isolate naturally infecting grapevine in Greece by Lotos, Leonidas, Ruiz-García, Ana B., Panailidou, Polina, Olmos, Antonio, Katis, Nikolaos, Maliogka, Varvara

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Convolutional neural networks to assess bergamot essential oil content in the field from smartphone images by Anello, Matteo, Mateo, Fernando, Bernardi, Bruno, Giuffrè, Angelo Maria, Blasco, José, Gómez-Sanchis, Juan

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The primary structure of Trypanosoma (Nannomonas) congolense variant surface glycoproteins by Urakawa, T., Eshita, Y., Majiwa, Phelix A.O.

“…One of the BSGs analyzed, ILNat3.3, did not fit into any of the classification schemes proposed for the VSGs so far studied, and thus may represent a different class of these surface molecules. …”
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PCRRFLP of the ribosomal DNA internal transcribed spacers (ITS) provides markers for the A and B genomes in Musa L. by Nwakanma, D.C., Pillay, M., Okoli, B.E., Tenkouano, A.

“…The staining intensity of the B-genome markers increased with the number of B-genome complements. …”
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Multivariate analysis of morphometric traits to differentiate the indigenous chicken reared under different Agro-ecologies of Ethiopia by Bekele, B., Melesse, A., Esatu, Wondmeneh, Dessie, Tadelle

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Use of 3D imaging to predict retail yield on beef subprimals by Penados B., Esteban A.

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Rocking the boat to change the debate: Identifying and testing conventional wisdom by Reardon, Thomas

“…The paper ends with a discussion of the benefits of this approach to policy and research debates and the researcher's own career, as well as considerations of risks, timing, and approach for application of the method. JEL Classification: D12, J20, O12, O18, Q12, Q18…”
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Evaluation of shallow ground water recharge and its potential for dry season irrigation at Brante Watershed, Dangila, Ethiopia by Eshete, D. G., Tilahun, Seifu A., Moges, M. A., Schmitter, Petra S., Dokou, Z., Sinshaw, B. G., Atalay, E. B., Takele, D. Y., Getie, W. A.

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Sorption, desorption and leaching potential of sulfonylurea herbicides in Argentinean soils by Azcarate, Mariela Pamela, Montoya, Jorgelina Ceferina, Koskinen, William C.

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Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium by Thenkabail, Prasad S., Biradar, Chandrashekhar M., Noojipady, P., Dheeravath, Venkateswarlu, Li, Yuan Jie, Velpuri, Naga Manohar, Gumma, Murali K., Gangalakunta, O.R.P., Turral, Hugh, Xueliang Cai, Vithanage, Jagath, Schull, M.A., Dutta, R.

“…A rigorous class identification and labelling process involved the use of: (a) space-time spiral curve (ST-SC) plots, (b) brightness-greenness-wetness (BGW) plots, (c) time series NDVI plots, (d) Google Earth very-high-resolution imagery (VHRI) 'zoom-in views' in over 11 000 locations, (e) groundtruth data broadly sourced from the degree confluence project (3 864 sample locations) and from the GIAM project (1 790 sample locations), (f) high-resolution Landsat-ETM+ Geocover 150m mosaic of the World and (g) secondary data (e.g. national and global land use and land cover data). …”
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Seasonal dynamics in dry matter degradation of browse in cattle, sheep and goats by Larbi, Asamoah, Smith, Jimmy W., Raji, A.M., Kurdi, I.O., Adekunle, I.O., Ladipo, D.O.

“…Concentrations of crude protein, neutral detergent fibre and insoluble proanthocyanidins varied widely among seasons. Classification of the MPTS based on a (soluble fraction), b (rumen degradable fraction), c(rate of degradation)) and PD (potential degradation) varied among BC, WS and WG within season. …”
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2015 Social Accounting Matrix for Vietnam by International Food Policy Research Institute

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Determination of snow cover from MODIS data for the Tibetan Plateau Region by Tang, B.H., Shrestha, B., Li, Z.L., Liu, G., Ouyang, H., Gurung, D.R., Amarnath, Giriraj, Aung, K.S.

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