Relevant bibliographies by topics / Descriptor models

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Descriptor models'

Author: Grafiati
Published: 4 May 2024

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Journal articles on the topic "Descriptor models"

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Ruggieri, Fabrizio, Alessandra Biancolillo, Angelo Antonio D’Archivio, Francesca Di Donato, Martina Foschi, Maria Anna Maggi, and Claudia Quattrociocchi. "Quantitative Structure–Retention Relationship Analysis of Polycyclic Aromatic Compounds in Ultra-High Performance Chromatography." Molecules 28, no. 7 (April 4, 2023): 3218. http://dx.doi.org/10.3390/molecules28073218.

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A comparative quantitative structure–retention relationship (QSRR) study was carried out to predict the retention time of polycyclic aromatic hydrocarbons (PAHs) using molecular descriptors. The molecular descriptors were generated by the software Dragon and employed to build QSRR models. The effect of chromatographic parameters, such as flow rate, temperature, and gradient time, was also considered. An artificial neural network (ANN) and Partial Least Squares Regression (PLS-R) were used to investigate the correlation between the retention time, taken as the response, and the predictors. Six descriptors were selected by the genetic algorithm for the development of the ANN model: the molecular weight (MW); ring descriptor types nCIR and nR10; radial distribution functions RDF090u and RDF030m; and the 3D-MoRSE descriptor Mor07u. The most significant descriptors in the PLS-R model were MW, RDF110u, Mor20u, Mor26u, and Mor30u; edge adjacency indice SM09_AEA (dm); 3D matrix-based descriptor SpPosA_RG; and the GETAWAY descriptor H7u. The built models were used to predict the retention of three analytes not included in the calibration set. Taking into account the statistical parameter RMSE for the prediction set (0.433 and 0.077 for the PLS-R and ANN models, respectively), the study confirmed that QSRR models, associated with chromatographic parameters, are better described by nonlinear methods.
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Grigorev, V. Yu, S. L. Solodova, D. E. Polianczyk, and O. A. Raevsky. "Classification models of structure - P-glycoprotein activity of drugs." Biomeditsinskaya Khimiya 62, no. 2 (2016): 173–79. http://dx.doi.org/10.18097/pbmc20166202173.

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Thirty three classification models of substrate specificity of 177 drugs to P-glycoprotein have been created using of the linear discriminant analysis, random forest and support vector machine methods. QSAR modeling was carried out using 2 strategies. The first strategy consisted in search of all possible combinations from 1¸5 descriptors on the basis of 7 most significant molecular descriptors with clear physico-chemical interpretation. In the second case forward selection procedure up to 5 descriptors, starting from the best single descriptor was used. This strategy was applied to a set of 387 DRAGON descriptors. It was found that only one of 33 models has necessary statistical parameters. This model was designed by means of the linear discriminant analysis on the basis of a single descriptor of H-bond (SCad). The model has good statistical characteristics as evidenced by results to both internal cross-validation, and external validation with application of 44 new chemicals. This confirms an important role of hydrogen bond in the processes connected with penetration of chemical compounds through a blood-brain barrier
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Gao, Xue-Yao, Kai-Peng Li, Chun-Xiang Zhang, and Bo Yu. "3D Model Classification Based on Bayesian Classifier with AdaBoost." Discrete Dynamics in Nature and Society 2021 (November 30, 2021): 1–12. http://dx.doi.org/10.1155/2021/2154762.

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With the exponential increasement of 3D models, 3D model classification is crucial to the effective management and retrieval of model database. Feature descriptor has important influence on 3D model classification. Voxel descriptor expresses surface and internal information of 3D model. However, it does not contain topological structure information. Shape distribution descriptor expresses geometry relationship of random points on model surface and has rotation invariance. They can all be used to classify 3D models, but accuracy is low due to insufficient description of 3D model. This paper proposes a 3D model classification algorithm that fuses voxel descriptor and shape distribution descriptor. 3D convolutional neural network (CNN) is used to extract voxel features, and 1D CNN is adopted to extract shape distribution features. AdaBoost algorithm is applied to combine several Bayesian classifiers to get a strong classifier for classifying 3D models. Experiments are conducted on ModelNet10, and results show that accuracy of the proposed method is improved.
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Karelson, Mati, Uko Maran, Yilin Wang, and Alan R. Katritzky. "QSPR and QSAR Models Derived Using Large Molecular Descriptor Spaces. A Review of CODESSA Applications." Collection of Czechoslovak Chemical Communications 64, no. 10 (1999): 1551–71. http://dx.doi.org/10.1135/cccc19991551.

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An overview on the development of QSPR/QSAR equations using various descriptor-mining techniques and multilinear regression analysis in the framework of the CODESSA (Comprehensive Descriptors for Structural and Statistical Analysis) program is given. The description of the methodologies applied in CODESSA is followed by the presentation of the QSAR and QSPR models derived for eighteen molecular activities and properties. The properties cover single molecular species, interactions between different molecular species, properties of surfactants, complex properties and properties of polymers. A review with 54 references.
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Afsar Jahan, Brij Kishore Sharma, and Vishnu Dutt Sharma. "Quantitative structure-activity relationship study on the MMP-13 inhibitory activity of fused pyrimidine derivatives possessing a 1,2,4-Triazol-3-yl group as a ZBG." GSC Biological and Pharmaceutical Sciences 16, no. 1 (July 30, 2021): 251–65. http://dx.doi.org/10.30574/gscbps.2021.16.1.0199.

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QSAR study has been carried out on the MMP-13 inhibitory activity of fused pyrimidine derivatives possessing a1,2,4-triazol-3-yl group as a ZBG in 0D- to 2D-Dragon descriptors. The derived QSAR models have revealed that the number of Sulfur atoms (descriptor nS), Balaban mean square distance index (descriptor MSD), molecular electrotopological variation (descriptor DELS), structural information content index of neighborhood symmetry of 2nd and 3rd order (descriptors SIC2 and SIC3), average valence connectivity index chi-4 (descriptor X4Av) in addition to 1st order Galvez topological charge index (descriptor JGI1) and global topological charge index (descriptor JGT) played a pivotal role in rationalization of MMP-13 inhibition activity of titled compounds. Atomic properties such as mass and volume in terms of atomic properties weighted descriptors MATS5m and MATS3v, and certain atom centred fragments such as CH2RX (descriptor C-006), X--CX--X (descriptor C-044), H attached to heteroatom (descriptor H-050) and H attached to C0(sp3) with 1X attached to next C (descriptor H-052) are also predominant to explain MMP-13 inhibition actions of fused pyrimidines. PLS analysis has also corroborated the dominance of CP-MLR identified descriptors. Applicability domain analysis revealed that the suggested model matches the high-quality parameters with good fitting power and the capability of assessing external data and all of the compounds was within the applicability domain of the proposed model and were evaluated correctly.
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Banagaaya, Nicodemus, and Wil Schilders. "Simulation of electromagnetic descriptor models using projectors." Journal of Mathematics in Industry 3, no. 1 (2013): 1. http://dx.doi.org/10.1186/2190-5983-3-1.

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Kazhdan, Michael, Bernard Chazelle, David Dobkin, Thomas Funkhouser, and Szymon Rusinkiewicz. "A Reflective Symmetry Descriptor for 3D Models." Algorithmica 38, no. 1 (October 24, 2003): 201–25. http://dx.doi.org/10.1007/s00453-003-1050-5.

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Kuz'min, Victor E., Liudmila N. Ognichenko, Viktor F. Zinchenko, Anatoly G. Artemenko, Angela O. Shyrykalova, and Anna V. Kozhukhar. "QSPR Models for Predicting of the Melting Points and Refractive Indices for Inorganic Substances." International Journal of Quantitative Structure-Property Relationships 5, no. 1 (January 2020): 1–21. http://dx.doi.org/10.4018/ijqspr.2020010101.

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The QSPR methodology is very promising for the creation of new materials, including materials based on inorganic compounds. However, the majority of QSPR descriptor systems are applicable only for organic molecules. In this work the 1D - QSPR descriptor system is proposed for analysis of the properties of various inorganic compounds. These descriptors are easily accessible, as they describe the most fundamental atom properties. The combinatorial schemes for computing these descriptors provide for their wide variety. The effectiveness of the proposed approach has been demonstrated to study the refractive indices and melting points of various inorganic compounds - components of potential optical film-forming materials. The developed QSPR models are suitable for the evaluative virtual screening of inorganic compounds; the mean relative error of prediction is 6 - 15%. The interpretation of the developed models reflects the nature of interatomic interactions in compounds with ionic structure.
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Dinesh Kumar Meena, Brij Kishore Sharma, and Raghuraj Parihar. "Quantitative structure-activity relationship study on the CDK2 inhibitory activity of 6-substituted 2-arylaminopurines." GSC Biological and Pharmaceutical Sciences 20, no. 3 (September 30, 2022): 107–19. http://dx.doi.org/10.30574/gscbps.2022.20.3.0344.

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QSAR study has been carried out on the CDK2 inhibitory activity of 6-substituted 2-arylaminopurines in 0D- to 2D-Dragon descriptors. The derived QSAR models have revealed that the reciprocal hyper-detour index (descriptor Rww) and path/walk 5 Randic shape index (descriptor PW5) played a pivotal role in rationalization of CDK2 inhibition activity of titled compounds. Molecular weight (MW), mean atomic volume scaled on Carbon atom (Mv) and atomic properties such as mass and atomic Sanderson electronegativity in terms of atomic properties weighted descriptors MATS1m, MATS3e, MATS4e, GATS3e and GATS8e, certain atom centred fragments such as H attached to C0(sp3) no X attached to next C (descriptor H-046),R--CH--X (descriptor C-027) and R--CX--X (descriptor C-029) are also predominant to explain CDK2 inhibition actions of 6-substituted 2-arylaminopurines. PLS analysis has also corroborated the dominance of CP-MLR identified descriptors. Applicability domain analysis revealed that the suggested model matches the high quality parameters with good fitting power and the capability of assessing external data and all of the compounds was within the applicability domain of the proposed model and were evaluated correctly.
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Tahboub, K. A., Th Schmidt, R. Schüpphaus, and P. C. Müller. "Comparison of Descriptor Models and Reduced Dynamic Models for Constrained Robots." IFAC Proceedings Volumes 24, no. 9 (September 1991): 9–14. http://dx.doi.org/10.1016/s1474-6670(17)51024-1.

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Dissertations / Theses on the topic "Descriptor models"

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Ozcaldiran, Kadri. "Control of descriptor systems." Diss., Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/13531.

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Aubry, Mathieu. "Representing 3D models for alignment and recognition." Thesis, Paris, Ecole normale supérieure, 2015. http://www.theses.fr/2015ENSU0006/document.

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Cette thèse explore différentes représentations de modèles 3D pour la mise en correspondance de formes 3D, l’alignement d’une instance 2D et de son modèle 3D et l’alignement de modèles 3D à une image 2D pour toute une catégorie d’objets. La géométrie d’une forme 3D est presque entièrement encodée par les fonctions et valeurs propres de l’opérateur de Laplace-Beltrami sur cette forme. Nous utilisons cette représentation mathématiquement élégante pour caractériser les points d’une forme en développant une nouvelle notion d’échelle. Nous montrons que cette signature présente plusieurs avantages. Un élément clé de la compréhension d’une image est l’alignement des objets qu’elle contient à leur modèle 3D. Nous considérons ce problème d’alignement 2D-3D pour une représentation 2D arbitraire, telle un dessin ou une peinture. Nous représentons le modèle d’un site architectural par un ensemble d’elements visuels discriminants. Nous développons ensuite une procédure pour mettre ces éléments en correspondance avec une représentation 2D du site. Nous validons notre méthode sur une nouvelle base de données de représentations historiques et non-photographiques. Nous étendons cette approche pour décrire non pas un unique site architectural, mais une catégorie entière d’objets, représentée par une grande collection de modèles 3D. Notre méthode d’alignement 2D-3D pour une catégorie d’objets non seulement détecte les instances, mais identifie une approximation de leur style et de leur point de vue. Nous évaluons notre approche sur un sous-ensemble de la difficile base de donnée “Pascal VOC 2007” pour la catégorie des chaises, que nous représentons pas une base de donnée de 1394 modèles 3D
Thanks to the success of 3D reconstruction algorithms and the development of online tools for computer-aided design (CAD) the number of publicly available 3D models has grown significantly in recent years, and will continue to do so. This thesis investigates representations of 3D models for 3D shape matching, instance-level 2D-3D alignment, and category-level 2D-3D recognition. The geometry of a 3D shape can be represented almost completely by the eigen-functions and eigen-values of the Laplace-Beltrami operator on the shape. We use this mathematically elegant representation to characterize points on the shape, with a new notion of scale. This 3D point signature can be interpreted in the framework of quantum mechanics and we call it the Wave Kernel Signature (WKS). We show that it has advantages with respect to the previous state-of-the-art shape descriptors, and can be used for 3D shape matching, segmentation and recognition. A key element for understanding images is the ability to align an object depicted in an image to its given 3D model. We tackle this instance level 2D-3D alignment problem for arbitrary 2D depictions including drawings, paintings, and historical photographs. This is a tremendously diffcult task as the appearance and scene structure in the 2D depictions can be very different from the appearance and geometry of the 3D model, e.g., due to the specific rendering style, drawing error, age, lighting or change of seasons. We represent the 3D model of an entire architectural site by a set of visual parts learned from rendered views of the site. We then develop a procedure to match those scene parts that we call 3D discriminative visual elements to the 2D depiction of the architectural site. We validate our method on a newly collected dataset of non-photographic and historical depictions of three architectural sites. We extend this approach to describe not only a single architectural site but an entire object category, represented by a large collection of 3D CAD models. We develop a category-level 2D-3D alignment method that not only detects objects in cluttered images but also identifies their approximate style and viewpoint. We evaluate our approach both qualitatively and quantitatively on a subset of the challenging Pascal VOC 2012 images of the \chair" category using a reference library of 1394 CAD models downloaded from the Internet
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Aasaraai, A. "Geometric models in linear control theory : On disturbance decoupling in descriptor systems." Thesis, University of Salford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234563.

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Hobocienski, Bryan Christopher. "Locality-Dependent Training and Descriptor Sets for QSAR Modeling." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1577716259011585.

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Wang, Siwen. "Orbital Level Understanding of Adsorbate-Surface Interactions in Metal Nanocatalysis." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/98923.

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We develop a theoretical framework for a priori estimation of catalytic activity of metal nanoparticles using geometry-based reactivity descriptors of surface atoms and kinetic analysis of reaction pathways at various types of active sites. We show that orbitalwise coordination numbers 𝐶𝑁α (α = 𝑠 or 𝑑) can be used to predict chemical reactivity of a metal site (e.g., adsorption energies of critical reaction intermediates) by being aware of the neighboring chemical environment, outperforming their regular (𝐶𝑁) and generalized (𝐶̅𝑁̅) counterparts with little added computational cost. Here we include two examples to illustrate this method: CO oxidation on Au (5𝑑¹⁰6𝑠¹) and O₂ reduction on Pt (5𝑑⁹6𝑠¹). We also employ Bayesian learning and the Newns-Anderson model to advance the fundamental understanding of adsorbate-surface interactions on metal nanocatalysts, paving the path toward adsorbate-specific tuning of catalysis.
Doctor of Philosophy
The interactions between reaction intermediates and catalysts should be neither too strong nor too weak for catalytic optimization. This Sabatiers principle arising from the scaling relations among the energetics of reacting species at geometrically similar sites, provides the conceptual basis for designing improved catalysts, but imposes volcano-type limitations on the attainable catalytic activity and selectivity. One of the greatest challenges faced by the catalysis community today is how to develop design strategies and ultimately predictive models of catalytic systems that could circumvent energy scaling relations. This work brings the quantum-chemical modeling and machine learning technique together and develops a novel stochastic modeling approach to rationally design the catalysts with desired properties and bridges our knowledge gap between the empirical kinetics and atomistic mechanisms of catalytic reactions.
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Gerdin, Markus. "Identification and Estimation for Models Described by Differential-Algebraic Equations." Doctoral thesis, Linköping : Department of Electrical Engineering, Linköpings universitet, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7600.

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MARCUCCIO, GABRIELE. "Applications of meta-models, shape descriptor theory and image decomposition to automotive components design and manufacturing variability control." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2574339.

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Camp, John L. "3-D Model Characterization and Identification from Intrinsic Landmarks." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1323135521.

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Estrada, Manzo Víctor. "Estimation et commande des systèmes descripteurs." Thesis, Valenciennes, 2015. http://www.theses.fr/2015VALE0032/document.

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Cette thèse est consacrée au développement des techniques d’estimation et de commande pour systèmes descripteurs non linéaires. Les développements sont centrés sur une famille particulière de systèmes descripteurs non linéaires avec une matrice descripteur de rang plein. Toutes les approches présentées utilisent un formalisme de modélisation du type Takagi-Sugeno (TS) pour représenter les modèles descripteurs non linéaires. Un objectif très important est de développer des conditions sous la forme d’inégalités matricielles linéaires (LMI, en anglais). Dans la littérature, les conditions pour l’estimation des modèles TS descripteurs s’écrivent sous forme d’inégalités matricielles bilinéaires (BMI, en anglais). En plus, à notre connaissance, il n’y pas de résultats dans la littérature concernant la commande/estimation pour les modèles TS descripteurs en temps discret (avec une matrice descripteur régulière non linéaire).Trois problèmes ont été examinés : commande par retour d’état, estimation de l’état et commande statique par retour de la sortie. Dans le cas continu, des conditions moins conservatives ont été développées pour la commande par retour d’état. Pour l’estimation d’état, des conditions LMI ont été obtenues (au lieu des usuelles BMI) en utilisant un différent vecteur d’erreur augmenté. Pour la commande statique par retour de la sortie, des conditions LMI sont proposées si une matrice auxiliaire est fixée. Pour le temps discret, des nouveaux résultats sous la forme LMI ont été développées pour la commande/estimation, comblant ainsi certains manques de la littérature. Des exemples ont été inclus pour montrer l’applicabilité de tous les résultats que nous avons obtenus et ainsi l’importance de garder la structure originale des descripteurs
This thesis addresses the estimation and control for nonlinear descriptor systems. The developments are focused on a family of nonlinear descriptor models with a full-rank descriptor matrix. The proposed approaches are based on a Takagi-Sugeno (TS) descriptor representation of a given nonlinear descriptor model. This type of TS models is a generalization of the standard TS ones. One of the mains goals is to obtain conditions in terms of linear matrix inequalities (LMIs). In the existing literature, the observer design for TS descriptor models has led to bilinear matrix inequality (BMI) conditions. In addition, to the best of our knowledge, there are no results in the literature on controller/observer design for discrete-time TS descriptor models (with a non-constant and invertible descriptor matrix).Three problems have been addressed: state feedback controller design, observer design, and static output feedback controller design. LMI conditions have been obtained for both continuous and discrete-time TS descriptor models. In the continuous-time case, relaxed LMI conditions for the state feedback controller design have been achieved via parameterdependent LMI conditions. For the observer design, pure LMI conditions have been developed by using a different extended estimation error. For the static output feedback controller, LMI constraints can be obtained once an auxiliary matrix is fixed. In the discretetime case, results in the LMI form are provided for state/output feedback controller design and observer design; thus filling the gap in the literature. Several examples have been included to illustrate the applicability of the obtained results and the importance of keeping the original descriptor structure instead of computing a standard state-space
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Milborrow, Stephen. "Multiview active shape models with SIFT descriptors." Doctoral thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/22867.

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This thesis presents techniques for locating landmarks in images of human faces. A modified Active Shape Model (ASM [21]) is introduced that uses a form of SIFT descriptors [68]. Multivariate Adaptive Regression Splines (MARS [40]) are used to efficiently match descriptors around landmarks. This modified ASM is fast and performs well on frontal faces. The model is then extended to also handle non-frontal faces. This is done by first estimating the face's pose, rotating the face upright, then applying one of three ASM submodels specialized for frontal, left, or right three-quarter views. The multiview model is shown to be effective on a variety of datasets.
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Books on the topic "Descriptor models"

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Analysis and design of descriptor linear systems. New York: Springer, 2010.

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L, Sjoreen A., U.S. Nuclear Regulatory Commission. Incident Response Operations., and Oak Ridge National Laboratory, eds. RASCAL 3.0: Description of models and methods. Washington, DC: Incident Response Operations, U.S. Nuclear Regulatory Commission, 2001.

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L, Sjoreen A., U.S. Nuclear Regulatory Commission. Incident Response Operations, and Oak Ridge National Laboratory, eds. RASCAL 3.0: Description of models and methods. Washington, DC: Incident Response Operations, U.S. Nuclear Regulatory Commission, 2001.

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L, Sjoreen A., U.S. Nuclear Regulatory Commission. Incident Response Operations., and Oak Ridge National Laboratory, eds. RASCAL 3.0: Description of models and methods. Washington, DC: Incident Response Operations, U.S. Nuclear Regulatory Commission, 2001.

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L, Sjoreen A., and U.S. Nuclear Regulatory Commission. Incident Response Operations., eds. RASCAL 3.0: Description of models and methods. Washington, D.C: U.S. Nuclear Regulatory Commission, 2001.

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L, Sjoreen A., U.S. Nuclear Regulatory Commission. Incident Response Operations., and Oak Ridge National Laboratory, eds. RASCAL 3.0: Description of models and methods. Washington, DC: Incident Response Operations, U.S. Nuclear Regulatory Commission, 2001.

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Abdurahiman, Vakulathil. Towards inducing a simulation model description. Uxbridge: Brunel University, 1994.

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Balakirsky, Stephen. Vehicle level world model manager interface description. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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THORN EMI Home Electronics. Development Centre., ed. VHS 3V43 circuit description: Including model 8945. Swindon: Thorn EMI Home Electronics, Development Centre, 1986.

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Balakirsky, Stephen. Vehicle level world model manager interface description. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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Book chapters on the topic "Descriptor models"

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Von Schwerin, R., M. Winckler, and V. Schulz. "Parameter Estimation In Discontinuous Descriptor Models." In IUTAM Symposium on Optimization of Mechanical Systems, 269–76. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0153-7_34.

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Lincoln, Maya, Mati Golani, and Avigdor Gal. "Machine-Assisted Design of Business Process Models Using Descriptor Space Analysis." In Lecture Notes in Computer Science, 128–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15618-2_11.

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Pérez-Lorenzo, J. M., S. García Galán, A. Bandera, R. Vázquez-Martín, and R. Marfil. "Classifying a New Descriptor Based on Marr’s Visual Theory." In Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy, 205–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02264-7_22.

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Sohns, J. T., D. Gond, F. Jirasek, H. Hasse, G. H. Weber, and H. Leitte. "Embedding-Space Explanations of Learned Mixture Behavior." In Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes, 32–50. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35779-4_3.

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AbstractData-driven machine learning (ML) models are attracting increasing interest in chemical engineering and already partly outperform traditional physical simulations. Previous work in this field has mainly focused on improving the models’ statistical performance while the thereby imparted knowledge has been taken for granted. However, also the structures learned by the model during the training are fascinating yet non-trivial to assess as they are usually high-dimensional. As such, the interpretable communication of the relationship between the learned model and domain knowledge is vital for its evaluation by applying engineers. Specifically, visual analytics enables the interactive exploration of data sets and can thus reveal structures in otherwise too large-scale or too complex data. This chapter focuses on the thermodynamic modeling of mixtures of substances using the so-called activity coefficients as exemplary measures. We present and apply two visualization techniques that enable analyzing high-dimensional learned substance descriptors compared to chemical domain knowledge. We found explanations regarding chemical classes for most of the learned descriptor structures and striking correlations with physicochemical properties.
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Amsallem, David, and Charbel Farhat. "On the Stability of Reduced-Order Linearized Computational Fluid Dynamics Models Based on POD and Galerkin Projection: Descriptor vs Non-Descriptor Forms." In Reduced Order Methods for Modeling and Computational Reduction, 215–33. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02090-7_8.

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Koehler, Sven, Tarique Hussain, Hamza Hussain, Daniel Young, Samir Sarikouch, Thomas Pickardt, Gerald Greil, and Sandy Engelhardt. "Self-supervised Motion Descriptor for Cardiac Phase Detection in 4D CMR Based on Discrete Vector Field Estimations." In Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 65–78. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23443-9_7.

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Efendiev, Messoud. "Model Description." In Mathematical Modeling of Mitochondrial Swelling, 37–53. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99100-9_3.

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Mihm, Jürgen. "Model Description." In Complexity in New Product Development, 43–66. Wiesbaden: Deutscher Universitätsverlag, 2003. http://dx.doi.org/10.1007/978-3-322-81432-6_3.

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Artmann, Christian. "Model Description." In Lecture Notes in Economics and Mathematical Systems, 1–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-93833-0_3.

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Scott, Catherine E. "Model Description." In Springer Theses, 35–52. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07851-9_2.

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Conference papers on the topic "Descriptor models"

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Miles, Roy, and Krystian Mikolajczyk. "Compressing Local Descriptor Models for Mobile Applications." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9414416.

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Borawski, Kamil. "Characteristic equations for descriptor linear electrical circuits." In 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2017. http://dx.doi.org/10.1109/mmar.2017.8046952.

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Estrada-Manzo, Victor, Thierry Marie Guerra, Zsofia Lendek, and Philippe Pudlo. "Discrete-time Takagi-Sugeno descriptor models: Controller design." In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891621.

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Hamdi, Habib, Chokri Mechmeche, Naceur Benhadj Braiek, and Mickael Rodrigues. "Fault tolerant control for multi-models descriptor systems." In 2015 7th International Conference on Modelling, Identification and Control (ICMIC). IEEE, 2015. http://dx.doi.org/10.1109/icmic.2015.7409373.

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Layton, R. A., and M. Bikdash. "A modal analysis comparison of Lagrangian descriptor models." In Proceedings of 2000 American Control Conference (ACC 2000). IEEE, 2000. http://dx.doi.org/10.1109/acc.2000.878614.

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Kunene, Dumusani, and Vusi Skosana. "Enhancing edge-based image descriptor models through colour unification." In 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA). IEEE, 2019. http://dx.doi.org/10.1109/robomech.2019.8704732.

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Claveau, F., and Ph Chevrel. "Modeling and analysis of networked control algorithms using descriptor models." In 2013 17th International Conference on System Theory, Control and Computing (ICSTCC). IEEE, 2013. http://dx.doi.org/10.1109/icstcc.2013.6688948.

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Matsakis, P., and M. Naeem. "Fuzzy models of topological relationships based on the PHI-descriptor." In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7737810.

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Park, You-Shin, Ki-Hyun Kang, Yong-In Yun, Jong-Soo Choi, Ho-Keun Song, and Jong-Ho Choi. "A New Descriptor of Slices Histogram from 3D Shape Models." In 2008 Second International Conference on Future Generation Communication and Networking (FGCN). IEEE, 2008. http://dx.doi.org/10.1109/fgcn.2008.147.

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Kaczorek, Tadeusz. "Extensions of the Cayley-Hamilton theorem to fractional descriptor linear systems." In 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2016. http://dx.doi.org/10.1109/mmar.2016.7575246.

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Reports on the topic "Descriptor models"

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Kasputis, Stephen, Ivar Oswalt, Ryan McKay, and Suzanne Barber. Semantic Descriptors of Models and Simulations. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada444441.

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Engel, D. W., and B. P. McGrail. AREST model description. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/140363.

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Conklin, David R., James M. Lenihan, Dominique Bachelet, Ronald P. Neilson, and John B. Kim. MCFire model technical description. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2016. http://dx.doi.org/10.2737/pnw-gtr-926.

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Silling, Stewart A. Spall kinetics model description. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1560810.

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Conklin, David R., James M. Lenihan, Dominique Bachelet, Ronald P. Neilson, and John B. Kim. MCFire model technical description. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2016. http://dx.doi.org/10.2737/pnw-gtr-926.

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Distel, Felix. Model-based Most Specific Concepts in Description Logics with Value Restrictions. Technische Universität Dresden, 2008. http://dx.doi.org/10.25368/2022.167.

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Non-standard inferences are particularly useful in the bottom-up construction of ontologies in description logics. One of the more common non-standard reasoning tasks is the most specific concept (msc) for an ABox-individual. In this paper we present similar non-standard reasoning task: most specific concepts for models (model-mscs). We show that, although they look similar to ABox-mscs their computational behaviour can be different. We present constructions for model-mscs in FL₀ and FLE with cyclic TBoxes and for ALC∪∗ with acyclic TBoxes. Since subsumption in FLE with cyclic TBoxes has not been examined previously, we present a characterization of subsumption and give a construction for the least common subsumer in this setting.
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Koopmann, Patrick, and Jieying Chen. Deductive Module Extraction for Expressive Description Logics (Extended Version). Technische Universität Dresden, 2020. http://dx.doi.org/10.25368/2022.262.

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In deductive module extraction, we determine a small subset of an ontology for a given vocabulary that preserves all logical entailments that can be expressed in that vocabulary. While in the literature stronger module notions have been discussed, we argue that for applications in ontology analysis and ontology reuse, deductive modules, which are decidable and potentially smaller, are often sufficient. We present methods based on uniform interpolation for extracting different variants of deductive modules, satisfying properties such as completeness, minimality and robustness under replacements, the latter being particularly relevant for ontology reuse. An evaluation of our implementation shows that the modules computed by our method are often significantly smaller than those computed by existing methods.
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Hopkins, A. T., Darrell L. Palmer, and Jeffrey R. Brown. Residual Dust and Radiation Model (REDRAM), Model Description. Fort Belvoir, VA: Defense Technical Information Center, March 1988. http://dx.doi.org/10.21236/ada362633.

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Baader, Franz, and Felix Distel. Exploring finite models in the Description Logic ELgfp. Technische Universität Dresden, 2008. http://dx.doi.org/10.25368/2022.168.

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In a previous ICFCA paper we have shown that, in the Description Logics EL and ELgfp, the set of general concept inclusions holding in a finite model always has a finite basis. In this paper, we address the problem of how to compute this basis efficiently, by adapting methods from formal concept analysis.
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Quinn, N. W. T. San Joaquin-Tulare Conjunctive Use Model: Detailed model description. Office of Scientific and Technical Information (OSTI), March 1992. http://dx.doi.org/10.2172/7059198.

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