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This book constitutes the refereed post-conference proceedings of
the 13th International Conference on Wireless and Satellite
Services, WiSATSÂ 2022, held in March 12-13, 2023. Due to
COVID-19 pandemic the conference was held virtually. The 9 full
papers were carefully reviewed and selected from 23 submissions.
They were organized in topical sections as follows:Â Security
and Privacy in Healthcare, Transportation, and Satellite
Networks,  Advanced Technologies in Wireless
Communication Systems, Network Efficiency and Reliability.
This book presents modeling methods and algorithms for data-driven
prediction and forecasting of practical industrial process by
employing machine learning and statistics methodologies. Related
case studies, especially on energy systems in the steel industry
are also addressed and analyzed. The case studies in this volume
are entirely rooted in both classical data-driven prediction
problems and industrial practice requirements. Detailed figures and
tables demonstrate the effectiveness and generalization of the
methods addressed, and the classifications of the addressed
prediction problems come from practical industrial demands, rather
than from academic categories. As such, readers will learn the
corresponding approaches for resolving their industrial technical
problems. Although the contents of this book and its case studies
come from the steel industry, these techniques can be also used for
other process industries. This book appeals to students,
researchers, and professionals within the machine learning and data
analysis and mining communities.
This book presents modeling methods and algorithms for data-driven
prediction and forecasting of practical industrial process by
employing machine learning and statistics methodologies. Related
case studies, especially on energy systems in the steel industry
are also addressed and analyzed. The case studies in this volume
are entirely rooted in both classical data-driven prediction
problems and industrial practice requirements. Detailed figures and
tables demonstrate the effectiveness and generalization of the
methods addressed, and the classifications of the addressed
prediction problems come from practical industrial demands, rather
than from academic categories. As such, readers will learn the
corresponding approaches for resolving their industrial technical
problems. Although the contents of this book and its case studies
come from the steel industry, these techniques can be also used for
other process industries. This book appeals to students,
researchers, and professionals within the machine learning and data
analysis and mining communities.
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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 13th China National Conference, CCL 2014, and First International Symposium, NLP-NABD 2014, Wuhan, China, October 18-19, 2014. Proceedings (Paperback, 2014 ed.)
Maosong Sun, Yang Liu, Jun Zhao
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R2,540
Discovery Miles 25 400
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 13th China
National Conference on Computational Linguistics, CCL 2014, and of
the First International Symposium on Natural Language Processing
Based on Naturally Annotated Big Data, NLP-NABD 2014, held in
Wuhan, China, in October 2014. The 27 papers presented were
carefully reviewed and selected from 233 submissions. The papers
are organized in topical sections on word segmentation; syntactic
analysis and parsing the Web; semantics; discourse, coreference and
pragmatics; textual entailment; language resources and annotation;
sentiment analysis, opinion mining and text classification;
large-scale knowledge acquisition and reasoning; text mining, open
IE and machine reading of the Web; machine translation;
multilinguality in NLP; underresourced languages processing; NLP
applications.
Databook of Surface Modification Additives, Second Edition contains
data on ten groups of additives, including anti-scratch and
mar-preventing additives, additives for surface tension reduction
and wetting, hydrophobization additives, gloss enhancement and
surface matting additives, additives for the formation of tack-free
surface and tackifiers, and stain inhibiting additives. The
information on each is divided into five sections, including
General Information, Physical-Chemical Properties, Health and
Safety, Ecological Properties, and Use and Performance. This data
is provided for approximately 360 of the most important surface
modification additives produced and used today. This databook will
be an extremely useful resource for engineers, researchers and
technicians interested in using additives to modify and improve the
surface properties of materials.
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Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding - Third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised Selected Papers (Paperback, 1st ed. 2019)
Jun Zhao, Frank Van Harmelen, Jie Tang, Xianpei Han, Quan Wang, …
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R1,580
Discovery Miles 15 800
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the Third China
Conference on Knowledge Graph and Semantic Computing, CCKS 2018,
held in Tianjin, China, in August 2018. The 27 revised full papers
and 2 revised short papers presented were carefully reviewed and
selected from 101 submissions. The papers cover wide research
fields including the knowledge graph, information extraction,
knowledge representation and reasoning, linked data.
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Knowledge Engineering and Knowledge Management - EKAW 2016 Satellite Events, EKM and Drift-an-LOD, Bologna, Italy, November 19-23, 2016, Revised Selected Papers (Paperback, 1st ed. 2017)
Paolo Ciancarini, Francesco Poggi, Matthew Horridge, Jun Zhao, Tudor Groza, …
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R2,466
Discovery Miles 24 660
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Ships in 10 - 15 working days
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This book contains the best selected papers of two Satellite Events
held at the 20th International Conference on Knowledge Engineering
and Knowledge Management, EKAW 2016, in November 2016 in Bologna,
Italy: The Second International Workshop on Educational Knowledge
Management, EKM 2016, and the First Workshop: Detection,
Representation and Management of Concept Drift in Linked Open Data,
Drift-an-LOD 2016. The 6 revised full papers included in this
volume were carefully reviewed and selected from the 13 full papers
that were accepted for presentation at the conference from the
initial 82 submissions. This volume also contains the 37 accepted
contributions for the EKAW 2016 tutorials, demo and poster
sessions, and the doctoral consortium. The special focus of this
year's EKAW was "evolving knowledge", which concerns all aspects of
the management and acquisition of knowledge representations of
evolving, contextual, and local models. This includes change
management, trend detection, model evolution, streaming data and
stream reasoning, event processing, time-and space dependent
models, contextual and local knowledge representations with a
special emphasis on the evolvability and localization of knowledge
and the correct usage of these limits.
First we discuss the construction of the signatures of curves and
surfaces both in smooth and discrete cases. The purpose is to find
appropriate differential and discrete invariants which can be used
as coordinates in the pictures of signature curves and surfaces.
Next we study variational problems for smooth curves and curves
approximated by B-spline curves. Our main application is to the
curve completion problem in 2D and 3D. In the smooth case, the aim
is to find the solution of the smooth Euler-Lagrange equations
which subject to curve completion problems using moving frames and
syzygies. In discrete case, the aim is to find various
aesthetically pleasing solutions as opposed to a solution of a
physical problem. The discrete Lagrangians of interest are
invariant under the special Euclidean group action for which
B-spline approximated curves are well suited. Finally, a brief
discussion of combining moving frames and Conformal Geometric
Algebra is given. Its application in solving curve completion
problems has been discussed in the end.
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