God of Neverland: A Defenders of Lore Novel, Martinez Gama Ray

Автор: Haque Bazle Z. (Gama)
Название: Split Hopkinson Pressure Bar Technique: Experiments, Analyses, and Applications
ISBN: 1986207226 ISBN-13(EAN): 9781986207225
Издательство: Неизвестно
Цена: 114950.00 T
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Описание: This book an exact copy of author's PhD dissertation published in 2004 by University of Delaware. Subject matter of this book is split Hopkinson pressure bar or Kolskey bar, an instrument for the dynamic characterization of materials. A brief review of Hopkinson bar development and its uses are presented in addition to Hopkinson bar analyses using LS-Dyna finite element method and applications to composite materials.

Автор: Kulongoski Justin T., Belitz Kennewth
Название: Status and Understanding of Groundwater Quality in the Monterey Bay and Salinas Valley Basins, 2005-California Gama Priority Basin Project: Usgs Scien
ISBN: 1288857799 ISBN-13(EAN): 9781288857791
Издательство: Неизвестно
Цена: 22990.00 T
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Автор: Vast Henri, Magalha Es Ferna O. De
Название: Le Tour Du Monde Il y a Quatre Sie Cles; Vasco de Gama Et Magellan
ISBN: 1249003822 ISBN-13(EAN): 9781249003823
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Цена: 22760.00 T
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Автор: Razevich Alexes
Название: Gama and Hest: An Ahsenthe Cycle Companion Novella
ISBN: 0996089233 ISBN-13(EAN): 9780996089234
Издательство: Неизвестно
Цена: 9140.00 T
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Автор: Gama Joao, Pashami Sepideh, Bifet Albert
Название: Iot Streams for Data-Driven Predictive Maintenance and Iot, Edge, and Mobile for Embedded Machine Learning: Second International Workshop, Iot Streams
ISBN: 3030667693 ISBN-13(EAN): 9783030667696
Издательство: Springer
Цена: 79190.00 T
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Описание: This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020.

Автор: Gama Michael Paul
Название: Theosis
ISBN: 1498299474 ISBN-13(EAN): 9781498299473
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Цена: 22070.00 T
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Автор: Jesus Alfonso Perez-Gama
Название: Artificial Intelligence Engineering for Postsecondary Education Digital Transformation
ISBN: 1536163902 ISBN-13(EAN): 9781536163902
Издательство: Nova Science
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Цена: 182680.00 T
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Описание: We present conceptual foundations for artificial intelligence, expert systems, and knowledge engineering and management and discuss high quality in education. Following, we discuss the basics of our vision and prospective about higher education (HE): the battle for the future with digital transformation (DT). Next, we present our central Chapter 4 on DT: our dual model of knowledge and data, as befits a HE institution. Below, we present a succinct outline of our architectural model. The pillars of the architecture are funding, research, entrepreneurship and social projection (Chapter 8); recognizing from the start that knowledge has its ethos in the university; these pillars correspond to: a?Productive ecosystem of the DT a?DT that enhances knowledge and innovation in the universities for the habilitation of the digital capabilities a?A new economy that requires the U transformation as social projection. a?New DT human talent required by the new knowledge and intelligence industry. The student hyper-personalization by competences and skills is required. Ten Views of Our DT Model, given its complex process that takes place in long ways, a process required for the successful survival of an organization into the IV Industrial Revolution, with the final purpose of being very competitive, productive and of high quality (HQ). The DT views, namely: 1-The DT Ecosystem. 2-The structural vision or the pillars of the DT mentioned. 3-The DT strategic map, showing scenarios, actors and vision-mission. 4-The architectural components for DT: 8 architectures were developed and implemented, applying some intelligent constructs that we have developed and documented in the last 10 years at FESSANJOSE (U. San JosA©), leading DT in postsecondary education (PSEd). 5-Digital 360° architecture of DT Academy and Administration LOCUS: this architecture is the digital portfolio that implies the organization of the subsystems to obtain better and/or new functionalities based on knowledge to obtain an intelligent behavior. The DT multilayer-architecture approach is a system of systems (SoS) one, which ensures compliance with government policies, norms and standards, in a highly complex social institution with digital assets; this approach describes the subsystems at a higher level, where a system is composed, and with the protocols by which the subsystems communicate. It provides a 360° business vision map and a planning framework for commercial and technological changes. 6-The computational-mathematical perspective of DT, identifying endogenous and exogenous variables and their interrelations. 7-The synthesis, the Matrix of End-Means (EMM) that summarizes in DT: Where the HE is. In addition, where can the HE go? 8-The MIR Matrix, which describes DT Objectives, impacts-indicators and results. 9-The dynamic model of the DT system, based on computational intelligence, representing the system information control of all the components to achieve the completion of the DT. The intelligent management information system (iMIS) for PSEd, shows the dynamics of DT, integrating several multilevel system hybrid architectures, as a space to respond to the solution of the HE problems, tending to the desired competitiveness, specifically pointing out the way that these modern technologies can be included for their adaptation and evolution in PSEd in post-modernity, making governability, and teaching and student productivity compatible with educational high quality, the purpose of DT. The interface Results of the iMIS includes: high quality metrics, digitization rate progress, indicators (an special appendix on KPI were included) and values of management, desertion, answers, and plans. The Input Interface includes data, information and knowledge acquisition, where the attributes, parameters.

Автор: Durrani Shiraz
Название: Pio Gama Pinto: Kenya`s Unsung Martyr. 1927 - 1965
ISBN: 9966189009 ISBN-13(EAN): 9789966189004
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Цена: 67980.00 T
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Автор: Gama Michael Paul
Название: Theosis
ISBN: 1498299490 ISBN-13(EAN): 9781498299497
Издательство: Неизвестно
Цена: 40460.00 T
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Автор: Miguel Gama, Helena Bonciani Nader, Hugo Alexandre de Oliveira Rocha
Название: Sulfated Polysaccharides
ISBN: 1634829751 ISBN-13(EAN): 9781634829755
Издательство: Nova Science
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Цена: 276660.00 T
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Описание: Contains the major statutes, treaties, regulations, guidelines, and policies affecting antitrust law. This edition includes the Sherman and Clayton Acts, the most recent federal guidelines (including the 2010 and 1992 versions of the Horizontal Merger Guidelines), procedural statutes and exemptions, as well as international agreements and treaties. Useful for students and practitioners alike.

Название: Kenyan organic intellectuals reflections on the legacy of pio gama pinto
ISBN: 1990263275 ISBN-13(EAN): 9781990263279
Издательство: Неизвестно
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Цена: 19540.00 T
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Описание: This accessible guide will tell you everything you need to know about parenting a child with a hidden condition, such as autism, dyspraxia, ADHD or bipolar, whether or not a formal diagnosis has been received. With information on various conditions and diagnoses, it includes candid advice and strategies from parents as well as young adults who grew up with a hidden condition themselves.

Автор: Munoz-Gama Jorge, Lu XIXI
Название: Process Mining Workshops: ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 - November 4, 2021, Revised Selected Papers
ISBN: 3030985806 ISBN-13(EAN): 9783030985806
Издательство: Springer
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Цена: 37260.00 T
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Описание:

Rethinking the Input for Process Mining: Insights from the XES Survey and Workshop.- Probability Estimation of Uncertain Process Trace Realizations.- Visualizing Trace Variants From Partially Ordered Event Data.- Analyzing Multi-level BOM-structured Event Data.- Linac: A Smart Environment Simulator of Human Activities.- Root Cause Analysis in Process Mining with Probabilistic Temporal Logic.- xPM: A Framework for Process Mining with Exogenous Data.- A Bridging Model for Process Mining and IoT.- Exploiting Instance Graphs and Graph Neural Networks for next activity prediction.- Can deep neural networks learn process modelstructure? An assessment framework and analysis.- Remaining Time Prediction for Processes with Inter-Case Dynamics.- Event Log Sampling for Predictive Monitoring.- Active Anomaly Detection for Key Item Selection in Process Auditing.- Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach.- Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring.- Online Prediction of Aggregated Retailer Consumer Behaviour.- PErrCas: Process Error Cascade Mining in Trace Streams.- Continuous performance evaluation for business process outcome monitoring.- An Event Data Extraction Approach from SAP ERP for Process Mining.- Towards a Natural Language Conversational Interface for Process Mining.- On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization.- Verifying guideline compliance in clinical treatment using multi-perspective conformance checking: a case study.- Patient Discharge Classification based on the Hospital Treatment Process.- Combining the Clinical and Operational Perspectives in Heterogeneous Treatment E ect Inference in Healthcare Processes.- Interactive Process Mining Applied in a Cardiology Outpatient Department.- Discovering care pathways for multi-morbid patients using event graphs.- Process Mining in Trusted Execution Environments: Towards Hardware Guarantees for Trust-aware Inter-organizational Process Analysis.- Quantifying the Re-identification Risk in Published Process Models.- Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities.