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[null,"1.","Record Nr.",null,"UNINA9910462395303321"]
[null,null,"Titolo",null,"Neoliberalism and commodity production in Mexico [[electronic resource] /] / Thomas Weaver ... [et al.]"]
[null,null,"Pubbl/distr/stampa",null,"Boulder, Colo., : University Press of Colorado, 2012"]
[null,null,"ISBN",null,"1-4571-1741-X"]
[{"$nulls":4},"1-4571-1743-6"]
[{"$nulls":4},"1-60732-172-6"]
[null,null,"Descrizione fisica",null,"1 online resource (369 p.)"]
[null,null,"Disciplina",null,"338.0972"]
[null,null,"Soggetti",null,"Neoliberalism - Mexico"]
[{"$nulls":4},"Commercial products - Mexico"]
[{"$nulls":4},"Working class - Social conditions"]
[{"$nulls":4},"Electronic books."]
[{"$nulls":4},"Mexico Economic policy 21st century"]
[{"$nulls":4},"Mexico Foreign economic relations"]
[{"$nulls":4},"Mexico Social conditions 21st century"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Preface -- The neoliberal transformation of Mexico / James B. Greenberg, Thomas Weaver, Anne Browning-Aiken, and William L. Alexander -- Theorizing neoliberalism / James B. Greenberg, Thomas Weaver, Anne Browning-Aiken, and William L. Alexander -- Neoliberalism and the transnational activity of the state : offshore control in the US-Mexico mango and Persian lime industry / Robert R. Alvarez -- Tracing the trail of table grapes : the effects of neoliberal policies in Sonora, Mexico / Rebecca H. Carter and William L. Alexander -- Maize and indigenous communities of Oaxaca : two victims of neoliberalism -- Alvaro Gonzolez Ros disjuncture between economic policy and sustainable use of natural resources : water case studies in Sonora, Mexico / Anne Browning-Aiken -- Privately unsustainable : ecological resiliency and watershed resources in an arid-land Ejido / Robert M. Emanuel -- Policies of conservation and sustainable development : fishing communities in the Gulf of California, Mexico / Marcela Vosquez-Leon -- Neoliberalism and the social relations of forestry production in Chihuahua / Thomas Weaver -- The impact of "]
[{"$nulls":4},"world bank policies on indigenous communities / Salomon Nahmad -- The impact of neoliberal policies on rural producers in Oaxaca, Mexico / James B. Greenberg -- Neoliberal capital and the mobility approach in anthropology / James B. Greenberg and Josiah McC. Heyman -- Coffee, neoliberalism, and social policy in Oaxaca / Paola Ma. Sesia -- Up the mode in the period of post-neoliberalism / Thomas Weaver -- Conclusion: structural adjustment, structural violence / James B. Greenberg, Thomas Weaver, Anne Browning-Aiken, and William L. Alexander -- List of contributors -- Index."]
[null,"2.","Record Nr.",null,"UNINA9910741150903321"]
[null,null,"Autore",null,"Zhao Jun"]
[null,null,"Titolo",null,"Data-Driven Prediction for Industrial Processes and Their Applications / / by Jun Zhao, Wei Wang, Chunyang Sheng"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018"]
[null,null,"ISBN",null,"3-319-94051-1"]
[null,null,"Edizione",null,"[1st ed. 2018.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVI, 443 p. 167 illus., 128 illus. in color.)"]
[null,null,"Collana",null,"Information Fusion and Data Science, , 2510-1528"]
[null,null,"Disciplina",null,"006.312"]
[null,null,"Soggetti",null,"Data mining"]
[{"$nulls":4},"Manufactures"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Quality control"]
[{"$nulls":4},"Reliability"]
[{"$nulls":4},"Industrial safety"]
[{"$nulls":4},"Operations research"]
[{"$nulls":4},"Decision making"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Manufacturing, Machines, Tools, Processes"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Quality Control, Reliability, Safety and Risk"]
[{"$nulls":4},"Operations Research/Decision Theory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Preface -- Introduction -- Why the prediction is required for industrial process -- Introduction to industrial process prediction -- Category of industrial process prediction -- Common-used techniques for industrial process prediction -- Brief summary -- Data preprocessing techniques -- Anomaly detection of data -- Correction of abnormal data -- Methods of packing missing data -- Data de-noising techniques -- Data fusion methods -- Discussion -- Industrial time series prediction -- Introduction -- Methods of phase space reconstruction -- Prediction modeling -- Benchmark prediction problems -- Cases of industrial applications -- Discussion -- Factor-based industrial process prediction -- Introduction -- Methods of determining factors -- Factor-based single-output model -- Factor-"]
[{"$nulls":4},"based multi-output model -- Cases of industrial applications -- Discussion -- Industrial Prediction intervals with data uncertainty -- Introduction -- Common-used techniques for prediction intervals -- Prediction intervals with noisy outputs -- Prediction intervals with noisy inputs and outputs -- Time series prediction intervals with missing input -- Industrial cases of prediction intervals -- Discussion -- Granular computing-based long term prediction intervals -- Introduction -- Basic theory of granular computing -- Techniques of granularity partition -- Long-term prediction model -- Granular-based prediction intervals -- Multi-dimension granular-based long term prediction intervals -- Discussion -- Parameters estimation and optimization -- Introduction -- Gradient-based methods -- Evolutionary algorithms -- Nonlinear Kalman-filter estimation -- Probabilistic methods -- Gamma-test based noise estimation -- Industrial applications -- Discussion -- Parallel computing considerations -- Introduction -- CUDA-based parallel acceleration -- Hadoop-based distributed computation -- Other techniques -- Industrial applications to parallel computing -- Discussion -- Prediction-based scheduling of industrial system -- Introduction -- Scheduling of blast furnace gas system -- Scheduling of coke oven gas system -- Scheduling of converter gas system -- Scheduling of oxygen system -- Predictive scheduling for plant-wide energy system -- Discussion."]
[null,null,null,"Sommario/riassunto","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."]