1.

Record Nr.

UNISA996386079403316

Titolo

The proceedings against the Lord Russel, upon his tryal for high-treason, at the Sessions-House in the Old-Baily, on the 13th. of this instant July, for conspiring against the life of the King, to levy war and rebellion, &c [[electronic resource] ] : As also the tryals of William Hone, the joyner, John Rouse, and William Blake, for conspiring the death of the King, &c

Pubbl/distr/stampa

[London], : Printed for Langley Curtis, near Fleet-Bridge, 1683

Descrizione fisica

1 sheet ([2] p.)

Altri autori (Persone)

RussellWilliam, Lord,  <1639-1683.>

Soggetti

Trials (Treason) - England

Rye House Plot, 1683

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Reproduction of original in the British Library.

Sommario/riassunto

eebo-0018



2.

Record Nr.

UNINA9910557371003321

Autore

Sidor Jurij J

Titolo

Modelling the Deformation, Recrystallization and Microstructure-Related Properties in Metals

Pubbl/distr/stampa

Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021

Descrizione fisica

1 online resource (144 p.)

Soggetti

Technology: general issues

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

In the special issue related to Modelling the Deformation, Recrystallization and Microstructure-Related Properties in Metals, we presented a wide spectrum of articles dealing with modelling of microstructural aspects involved in deformation and recrystallization as well as simulation of microstructure-based and texture-based properties in various metals. The latest advances in the theoretical interpretation of mesoscopic transformations based on experimental observations were partially discussed in the current special issue. The studies dealing with the modelling of structure-property relationships are likewise analyzed in the present collection of manuscripts. The contributions in the current collection evidently demonstrate that the properties of metallic materials are microstructure dependent and therefore the thermomechanical processing (TMP) of the polycrystalline aggregates should be strictly controlled to guarantee the desired bunch of qualities. Given this, the assessment of microstructure evolution in metallic systems is of extraordinary importance. Since the trial-error approach is a time-consuming and quite expensive methodology, the materials research community tends to employ a wide spectrum of computational approaches to simulate each chain of TMP and tune the processing variables to ensure the necessary microstructural state which will provide desired performance in the final product. Although many hidden facets of various technological processes and related



microstructural changes were revealed in the submitted works by employing advanced computational approaches, nevertheless, the contributions collected in this issue clearly show that further efforts are required in the field of modelling to understand the complexity of material's world. The final goal of modelling efforts might be a development of a comprehensive model, which will be capable of describing many aspects of microstructure evolution during thermomechanical processing.

3.

Record Nr.

UNINA9910483586303321

Titolo

Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings / / edited by Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016

ISBN

3-319-49055-9

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (XIII, 588 p. 167 illus.)

Collana

Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 10029

Disciplina

006.4

Soggetti

Artificial intelligence

Pattern recognition systems

Application software

Database management

Algorithms

Data mining

Artificial Intelligence

Automated Pattern Recognition

Computer and Information Systems Applications

Database Management

Data Mining and Knowledge Discovery

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.



Nota di contenuto

Dimensionality reduction -- Manifold learning and embedding methods.-Dissimilarity representations -- Graph-theoretic methods -- Model selection, classification and clustering -- Semi and fully supervised learning methods -- Shape analysis -- Spatio-temporal pattern recognition -- Structural matching -- Text and document analysis. .

Sommario/riassunto

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR. The 51 full papers presented were carefully reviewed and selected from 68 submissions. They are organized in the following topical sections: dimensionality reduction, manifold learning and embedding methods; dissimilarity representations; graph-theoretic methods; model selection, classification and clustering; semi and fully supervised learning methods; shape analysis; spatio-temporal pattern recognition; structural matching; text and document analysis. .