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2388por Loeza Corichi, Mtra. María Eugenia, Sandoval Delgado, Mtra. Norma Angélica, Loeza Corichi, Dra. Alicia, Jiménez Vallejo, Dr. SalvadorEnlace del recurso
Publicado 2013
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Online Artículo -
2389por Naranjo Flores, Dra. GabrielaEnlace del recurso
Publicado 2012
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2390
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2393por Bice, Noah, Kirby, Neil, Bahr, Tyler, Rasmussen, Karl, Saenz, Daniel, Wagner, Timothy, Papanikolaou, Niko, Fakhreddine, Mohamad“…RESULTS: Following hyperparameter tuning, DeepSurv was trained at 32 min per sample on a 1.33 GHz quad‐core CPU. Test set concordance indices of 0.7488 ± 0.0049, 0.6251 ± 0.0047, and 0.7368 ± 0.0047, were found for DeepSurv, CPH, and RSF, respectively. …”
Publicado 2020
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2394por Kartseva, Tania, Alqudah, Ahmad M., Aleksandrov, Vladimir, Alomari, Dalia Z., Doneva, Dilyana, Arif, Mian Abdur Rehman, Börner, Andreas, Misheva, Svetlana“…GWAS analysis conducted with calculated best linear unbiased estimates (BLUEs) of phenotypic data and 90 K SNP array using the fixed and random model circulating probability unification (FarmCPU) model identified seven significant genomic regions harboring GPC-associated markers on chromosomes 1D, 3A, 3B, 3D, 4B and 5A, of which those on 3A and 3B shared associated SNPs with at least one crop season. …”
Publicado 2023
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2395por Khodaeiaminjan, Mortaza, Knoch, Dominic, Ndella Thiaw, Marie Rose, Marchetti, Cintia F., Kořínková, Nikola, Techer, Alexie, Nguyen, Thu D., Chu, Jianting, Bertholomey, Valentin, Doridant, Ingrid, Gantet, Pascal, Graner, Andreas, Neumann, Kerstin, Bergougnoux, Véronique“…For this purpose, young seedlings grown for 21 days in pouches under control and osmotic-stress conditions were phenotyped and genotyped using the barley 50k iSelect SNP array, and genome-wide association studies (GWAS) were conducted using three different GWAS methods (MLM GAPIT, FarmCPU, and BLINK) to detect genotype/phenotype associations. …”
Publicado 2023
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2396por Vahdani, Behnam, Mohammadi, Mehrdad, Thevenin, Simon, Gendreau, Michel, Dolgui, Alexandre, Meyer, Patrick“…The computational results show that the proposed Benders decomposition algorithm is 12 times faster, and its solutions are, on average, 16% better in terms of quality than the Gurobi solver under a limited CPU time. In terms of vaccination strategies, our results suggest that delaying the recommended time interval between doses of injection by a factor of 1.5 reduces the unmet demand up to 50%. …”
Publicado 2023
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2397“…Moreover, TensorRT could remarkably increase inference speed (i.e., four times faster) and reduce the central processing unit (CPU) and memory consumption in half. By analyzing such metrics in detail, we establish research foundations on edge device-based 3D object detection for the efficient operation of various robotic applications.…”
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2398“…The proposed model efficiently tackled both uncertainties in random and hazardous events and had a higher profit and shorter CPU time compared to the robust optimization mode.…”
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2399por Chen, Yilin, Xiong, Haizheng, Ravelombola, Waltram, Bhattarai, Gehendra, Barickman, Casey, Alatawi, Ibtisam, Phiri, Theresa Makawa, Chiwina, Kenani, Mou, Beiquan, Tallury, Shyam, Shi, Ainong“…A total of seven significant SNP markers were identified using five GWAS models (single-marker regression (SMR), the general linear model (GLM), Mixed Linear Model (MLM), Fixed and Random Model Circulating Probability Unification (FarmCPU), and Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (BLINK), which are located at the same locus on chromosome 8 for seed protein content. …”
Publicado 2023
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2400por Pinto, José, Ramos, João R. C., Costa, Rafael S., Rossell, Sergio, Dumas, Patrick, Oliveira, Rui“…The Central Processing Unit (CPU) time for training the deep hybrid model increased by 31.6% mainly due to the higher FFNN complexity. …”
Publicado 2023
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