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Behaviour of Building Structures Subjected to Progressive Collapse
gives in-depth and up-to-date quantitative and numerical analysis
of building structures against progressive collapse. It does so at
various levels, including bare steel joints, composite joints and
sub-assemblages and frames under quasi-static loading conditions.
The book provides analysis of the force transfer mechanisms of
composite structures and reinforced concrete structures, along with
detailed numerical models that shed light on the effects of
critical parameters on progressive collapse resistances. It
includes direct design methods that take into account various
collapse-resisting mechanisms. The collapse of the World Trade
Center in New York has spurred extensive experimental study and
numerical analysis of the structural behavior of buildings under
progressive collapse scenarios. Although design guidelines have
been published by governments, most are missing up-to-date
numerical and experimental results, quantitative accounts of force
transfer mechanisms, and numerical guidelines.
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II (Paperback, 1st ed. 2021)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoit Frenay, …
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R2,512
Discovery Miles 25 120
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Ships in 18 - 22 working days
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This two-volume set constitutes the refereed proceedings of the
workshops which complemented the 21th Joint European Conference on
Machine Learning and Knowledge Discovery in Databases, ECML PKDD,
held in September 2021. Due to the COVID-19 pandemic the conference
and workshops were held online. The 104 papers were thoroughly
reviewed and selected from 180 papers submited for the workshops.
This two-volume set includes the proceedings of the following
workshops:Workshop on Advances in Interpretable Machine Learning
and Artificial Intelligence (AIMLAI 2021)Workshop on Parallel,
Distributed and Federated Learning (PDFL 2021)Workshop on Graph
Embedding and Mining (GEM 2021)Workshop on Machine Learning for
Irregular Time-series (ML4ITS 2021)Workshop on IoT, Edge, and
Mobile for Embedded Machine Learning (ITEM 2021)Workshop on
eXplainable Knowledge Discovery in Data Mining (XKDD 2021)Workshop
on Bias and Fairness in AI (BIAS 2021)Workshop on Workshop on
Active Inference (IWAI 2021)Workshop on Machine Learning for
Cybersecurity (MLCS 2021)Workshop on Machine Learning in Software
Engineering (MLiSE 2021)Workshop on MIning Data for financial
applications (MIDAS 2021)Sixth Workshop on Data Science for Social
Good (SoGood 2021)Workshop on Machine Learning for Pharma and
Healthcare Applications (PharML 2021)Second Workshop on Evaluation
and Experimental Design in Data Mining and Machine Learning (EDML
2020)Workshop on Machine Learning for Buildings Energy Management
(MLBEM 2021)
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I (Paperback, 1st ed. 2021)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoit Frenay, …
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R4,176
Discovery Miles 41 760
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Ships in 18 - 22 working days
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This two-volume set constitutes the refereed proceedings of the
workshops which complemented the 21th Joint European Conference on
Machine Learning and Knowledge Discovery in Databases, ECML PKDD,
held in September 2021. Due to the COVID-19 pandemic the conference
and workshops were held online. The 104 papers were thoroughly
reviewed and selected from 180 papers submited for the workshops.
This two-volume set includes the proceedings of the following
workshops:Workshop on Advances in Interpretable Machine Learning
and Artificial Intelligence (AIMLAI 2021)Workshop on Parallel,
Distributed and Federated Learning (PDFL 2021)Workshop on Graph
Embedding and Mining (GEM 2021)Workshop on Machine Learning for
Irregular Time-series (ML4ITS 2021)Workshop on IoT, Edge, and
Mobile for Embedded Machine Learning (ITEM 2021)Workshop on
eXplainable Knowledge Discovery in Data Mining (XKDD 2021)Workshop
on Bias and Fairness in AI (BIAS 2021)Workshop on Workshop on
Active Inference (IWAI 2021)Workshop on Machine Learning for
Cybersecurity (MLCS 2021)Workshop on Machine Learning in Software
Engineering (MLiSE 2021)Workshop on MIning Data for financial
applications (MIDAS 2021)Sixth Workshop on Data Science for Social
Good (SoGood 2021)Workshop on Machine Learning for Pharma and
Healthcare Applications (PharML 2021)Second Workshop on Evaluation
and Experimental Design in Data Mining and Machine Learning (EDML
2020)Workshop on Machine Learning for Buildings Energy Management
(MLBEM 2021)
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