Results 21 to 30 of about 421,397 (304)

A forest fire hazard model and map for a wildland urban interface not meteorologically prone to forest fires

Territorium: Revista Portuguesa de riscos, prevenção e segurança, 2023
Fire Hazard (FH) modelling is a relevant fire prevention/assessment tool. This work proposes a FH model and generates a FH map for a wildland urban interface area in Germany that is not prone to extreme fires.
Esperanza Amezketa, Raquel Ciriza, Mikel Viñuales   +2 more
doaj   +1 more source

Pharmmaker: Pharmacophore modeling and hit identification based on druggability simulations [PDF]

Protein Science, 2019
AbstractRecent years have seen progress in druggability simulations, that is, molecular dynamics simulations of target proteins in solutions containing drug‐like probe molecules to characterize their drug‐binding abilities, if any. An important consecutive step is to analyze the trajectories to construct pharmacophore models (PMs) to use for virtual ...
Ji Young Lee, James M. Krieger, Hongchun Li, Ivet Bahar   +3 more
openaire   +2 more sources

Impact of systems modelling on agronomic research and adoption of new practices in smallholder agriculture

Journal of Integrative Agriculture, 2015
An analysis of the impact of simulation modelling in three diverse crop-livestock improvement projects in Agricultural Research for Development (AR4D) reveals benefits across a range of aspects including identification of objectives, design and ...
D J Connor, H van Rees, P S Carberry
doaj   +1 more source

From a Point Cloud to a Simulation Model—Bayesian Segmentation and Entropy Based Uncertainty Estimation for 3D Modelling

Entropy, 2021
The 3D modelling of indoor environments and the generation of process simulations play an important role in factory and assembly planning. In brownfield planning cases, existing data are often outdated and incomplete especially for older plants, which ...
Christina Petschnigg, Markus Spitzner, Lucas Weitzendorf, Jürgen Pilz   +3 more
doaj   +1 more source

Robust improper maximum likelihood: tuning, computation, and a comparison with other methods for robust Gaussian clustering [PDF]

, 2016
The two main topics of this paper are the introduction of the "optimally tuned improper maximum likelihood estimator" (OTRIMLE) for robust clustering based on the multivariate Gaussian model for clusters, and a comprehensive simulation study comparing ...
Coretto, Pietro, Hennig, Christian
core   +4 more sources

Modelling and simulation of (connected) autonomous vehicles longitudinal driving behavior: A state‐of‐the‐art

IET Intelligent Transport Systems, 2023
Microscopic traffic models (MTMs) are widely used for assessing the impacts of (connected) autonomous vehicles ((C)AVs). These models utilize car‐following (CF) and lane‐changing models to replicate the (C)AVs driving behaviors.
Hashmatullah Sadid, Constantinos Antoniou   +1 more
doaj   +1 more source

Multiagent Decision Making for SME Supply Chain Simulation [PDF]

, 2009
International audienceTo tackle the complexity and heterogeneity of the networks that integrate Mechatronic SMEs, this paper describes a modelling and simulation solution based on multiagent system and ArchMDE (Architecture Model Drive Engineering ...
Boissiere, Julien, Habchi, Georges, Tounsi, Jihène   +2 more
core   +3 more sources

Graphical Topology Autonomic Identification Method for Human-Machine Interface Modelling Based on Quadratic Space Mapping

IEEE Access, 2020
To realize a computerized autonomous recognition of human-computer interface graphics and autonomously interface an interface graphic model with a simulation analysis program of a systems operation, a human-computer interface topology identification ...
Yanjuan Wu, Haoyue Wang, Yunliang Wang, Li Yang   +3 more
doaj   +1 more source

Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at √s = 8 TeV [PDF]

, 2015
A description is provided of the performance of the CMS detector for photon reconstruction and identification in proton-proton collisions at a centre-of-mass energy of 8 TeV at the CERN LHC.
Adam, W, Adler, V, Alderweireldt, S, Bansal, S, Beernaert, K, Benucci, L, Bergauer, T, Blekman, F, Blyweert, S, Caillol, C, Cimmino, A, Clerbaux, B, Cornelis, T, Costantini, S, Crucy, S, Daci, N, De Lentdecker, G, De Wolf, EA, DHondt, J, Dobur, D, Dragicevic, M, Erö, J, Fagot, A, Favart, L, Friedl, M, Frühwirth, R, Garcia, G, Gay, APR, Ghete, VM, Grebenyuk, A, Hartl, C, Heracleous, N, Hrubec, J, Hörmann, N, Janssen, X, Jeitler, M, Jeitler, M, Keaveney, J, Khachatryan, V, Kiesenhofer, W, Knutsson, A, Knünz, V, Krammer, M, Krätschmer, I, Lauwers, J, Liko, D, Lowette, S, Luyckx, S, Léonard, A, Maes, M, McCartin, J, Mikulec, I, Mohammadi, A, Mossolov, V, Ocampo Rios, AA, Ochesanu, S, Olbrechts, A, Perniè, L, Poyraz, D, Python, Q, Rabady, D, Rahbaran, B, Randle-Conde, A, Reis, T, Rohringer, H, Rougny, R, Ryckbosch, D, Salva Diblen, S, Schöfbeck, R, Seva, T, Shumeiko, N, Sigamani, M, Sirunyan, AM, Strauss, W, Strom, D, Suarez Gonzalez, J, Tavernier, S, Thomas, L, Treberer-Treberspurg, J, Tumasyan, A, Van De Klundert, M, Van Doninck, W, Van Haevermaet, H, Van Mechelen, P, Van Mulders, P, Van Onsem, GP, Van Remortel, N, Van Spilbeeck, A, Vanlaer, P, Velde Vander, C, Villella, I, Waltenberger, W, Wang, J, Wulz, CE, Wulz, CE, Zenoni, F   +95 more
core   +1 more source

Physics informed neural networks based identification modelling of ship maneuvering motion and associated optimal excitation design

Engineering Applications of Computational Fluid Mechanics
Accurate and stable identification modelling of ship maneuvering motion is the key to achieving high-precision ship maneuvering control. The hybrid knowledge- and data-driven Physics Informed Neural Networks (PINN) provides a more nonlinear, expressive ...
Guangshuo An, Gong Xiang, Xianbo Xiang, C. Guedes Soares   +3 more
doaj   +1 more source