Search Results - "Sanguineti, M"

Variable cant angle winglets for improvement of aircraft flight performance by Guerrero, J. E., Sanguineti, M., Wittkowski, K.

“…Traditional winglets are designed as fixed devices attached at the tips of the wings. The primary purpose of the winglets is to reduce the lift-induced drag,…”
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Root-ABA1 QTL affects root lodging, grain yield, and other agronomic traits in maize grown under well-watered and water-stressed conditions by Landi, P, Sanguineti, MC, Liu, C, Li, Y, Wang, TY, Giuliani, S, Bellotti, M, Salvi, S, Tuberosa, R

“…A major QTL affecting root traits and leaf ABA concentration was identified in maize (Zea mays L.) and named root-ABA1. For this QTL, back-cross-derived lines…”
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high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring x SQ1 and its use to compare QTLs for grain yield across a range of environments by Quarrie, S.A, Steed, A, Calestani, C, Semikhodskii, A, Lebreton, C, Chinoy, C, Steele, N, Pljevljakusic, D, Waterman, E, Weyen, J

“…A population of 96 doubled haploid lines (DHLs) was prepared from F1 plants of the hexaploid wheat cross Chinese Spring x SQ1 (a high abscisic acid-expressing…”
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Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks by Kainen, P. C., Kurkova, V., Sanguineti, M.

“…The role of input dimension d is studied in approximating, in various norms, target sets of d -variable functions using linear combinations of adjustable…”
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major QTL for durable leaf rust resistance widely exploited in durum wheat breeding programs maps on the distal region of chromosome arm 7BL by Maccaferri, M, Mantovani, P, Tuberosa, R, DeAmbrogio, E, Giuliani, S, Demontis, A, Massi, A, Sanguineti, M. C

“…A recombinant inbred line (RIL) population and a set of advanced lines from multiple crosses were used to investigate the leaf rust (Puccinia triticina Eriks.)…”
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Suboptimal Solutions to Dynamic Optimization Problems via Approximations of the Policy Functions by Gnecco, G., Sanguineti, M.

“…The approximation of the optimal policy functions is investigated for dynamic optimization problems with an objective that is additive over a finite number of…”
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Genetic dissection of seminal root architecture in elite durum wheat germplasm by Sanguineti, M.C, Li, S, Maccaferri, M, Corneti, S, Rotondo, F, Chiari, T, Tuberosa, R

“…Although root architecture has been shown to play an important role in crop performance, particularly under drought conditions, no information is available on…”
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Geometric Upper Bounds on Rates of Variable-Basis Approximation by Kurkova, V., Sanguineti, M.

“…In this paper, approximation by linear combinations of an increasing number n of computational units with adjustable parameters (such as perceptrons and radial…”
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Comparison of worst case errors in linear and neural network approximation by Kurkova, V., Sanguineti, M.

“…Sets of multivariable functions are described for which worst case errors in linear approximation are larger than those in approximation by neural networks. A…”
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Search for high energy neutrinos from bright GRBs with ANTARES by Sanguineti, M., Celli, S., Turpin, D.

“…Gamma-ray bursts are a possible site of hadronic acceleration, thus neutrinos are expected in correspondence of a GRB event. The brightest GRB observed between…”
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Approximation Schemes for Functional Optimization Problems by Giulini, S., Sanguineti, M.

“…Approximation schemes for functional optimization problems with admissible solutions dependent on a large number d of variables are investigated. Suboptimal…”
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Utilization of SSR and AFLP markers for the assessment of distinctness in durum wheat by Noli, E, Teriaca, M. S, Sanguineti, M. C, Conti, S

“…Molecular techniques provide new possibilities to characterize advanced genetic materials for registration purposes and for the protection of breeders' rights…”
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Estimates of Variation with Respect to a Set and Applications to Optimization Problems by Gnecco, G., Sanguineti, M.

“…A variational norm that plays a role in functional optimization and learning from data is investigated. For sets of functions obtained by varying some…”
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Bounds on rates of variable-basis and neural-network approximation by Kurkova, V., Sanguineti, M.

“…The tightness of bounds on rates of approximation by feedforward neural networks is investigated in a more general context of nonlinear approximation by…”
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Approximating networks and extended Ritz method for the solution of functional optimization problems by ZOPPOLI, R, SANGUINETI, M, PARISINI, T

“…Functional optimization problems can be solved analytically only if special assumptions are verified; otherwise, approximations are needed. The approximate…”
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Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming by Alessandri, A., Cervellera, C., Sanguineti, M.

“…A methodology to design state estimators for a class of nonlinear continuous-time dynamic systems that is based on neural networks and nonlinear programming is…”
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Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling by Baglietto, M., Cervellera, C., Sanguineti, M., Zoppoli, R.

“…Two methods of approximate solution are developed for T -stage stochastic optimal control (SOC) problems, aimed at obtaining finite-horizon management policies…”
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P376 HIGH RISK PULMONARY EMBOLISM COMPLICATED BY CARDIOGENIC SHOCK by Sanguineti, M

“…Abstract The case concerns a 62–year–old woman with no significant cardiovascular history. In October 2022 the patient had an acute diverticulitis hesitated in…”
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A recursive algorithm for nonlinear least-squares problems by Alessandri, A, Cuneo, M, Pagnan, S, Sanguineti, M

“…The solution of nonlinear least-squares problems is investigated. The asymptotic behavior is studied and conditions for convergence are derived. To deal with…”
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Relationships among durum wheat accessions. I. Comparative analysis of SSR, AFLP, and phenotypic data by Maccaferri, M, Stefanelli, S, Rotondo, F, Tuberosa, R, Sanguineti, M C

“…The determination of genetic relatedness among elite materials of crop species allows for more efficient management of breeding programs and for the protection…”
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