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  • thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism  (764)
  • machine learning  (679)
  • 551.7
  • USA
  • English  (1,632)
Collection
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Language
Years
  • 1
    Monograph available for loan
    Monograph available for loan
    Democracy in America? : What has gone wrong and what we can do about it (2017)
    Chicago, Ill. : The University of Chicago Press
    Details Availability
    Call number: PIK D 029-19-92536
    Keywords: USA ; Demokratie
    Description / Table of Contents: More democracy -- Unequal wealth distorts politics -- What has gone wrong -- Thwarting the will of the people -- The political clout of wealthy Americans -- Corporations and interest groups -- Polarized parties and gridlock -- What can be done -- Equal voice for all citizens -- Overcoming gridlock and democratizing institutions -- How to do it -- A social movement for democracy -- Signs of progress
    Type of Medium: Monograph available for loan
    Pages: 369 Seiten , Diagramme
    ISBN: 9780226508962 , 9780226509013 (electronic)
    Language: English
    Location: A 18 - must be ordered
    Branch Library: PIK Library
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  • 2
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    Language and Culture on the Margins (2024)
    Taylor & Francis | Routledge
    Details
    Publication Date: 2024-04-01
    Description: This collection of thirteen essays examines sociolinguistic phenomena in a wide variety of marginal environments, providing both an overview of globalizaiton on the margins and a foundation for an expanded understanding of the processes of linguistic and cultural changes at work in these settings. Taking an expansive conceptual view of margins, the volume is organized in three parts, looking at examples of marginal spaces in the nation-state, in online environments, and in the peripheries of urban locations, globally to call attention to new and changing discursive genres, patterns, practices, and identities emerging in these spaces as a result of contemporary mobilities, the evolving global economy, and socio-political changes. With previous research previously confined to the study of globalization in urban areas, this volume opens the door for further research on the complex sociolinguistic processes resulting from globalization on the margins, making this an ideal resource for students and scholars in sociolinguistics, globalization and heritage studies, new media, anthropology, and cultural studies. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution (CC-BY)
    Keywords: Hoe Gaan Dit ; Linguistic Landscape ; Gregory Richardson ; Local Linguistic Landscape ; Xuan Wang ; Transcarpathian Oblast ; Massimiliano Spotti ; Dutch Caribbean Island ; Thayse Figueira Guimarães ; Smart Phones ; Branca Falabella Fabrício ; Sami Language ; Luiz Paulo Moita-Lopes ; Center Periphery Dynamics ; Paja Foudree ; Young Men ; Fie Velghe ; Language Ideologies ; Hirut Woldemariam ; Finnish Lapland ; Elizabeth Lanza ; Bongo Flava ; Binyam Sisay Mendisu ; Calypso Music ; Eleni Mariou ; Main Characters ; Zane Goebel ; Standard Ukrainian ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism ; thema EDItEUR::C Language and Linguistics::CF Linguistics::CFD Psycholinguistics and cognitive linguistics::CFDM Bilingualism and multilingualism ; thema EDItEUR::C Language and Linguistics::CF Linguistics::CFB Sociolinguistics ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCC Cultural studies ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHM Anthropology::JHMC Social and cultural anthropology
    Language: English
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  • 3
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    Advances in Computer-Aided Technology (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-24
    Description: This book reprints articles from the Special Issue "Advances in Computer-Aided Technology" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of thirteen published articles. This Special Issue belongs to the "Mechatronic and Intelligent Machines" section. Industry 4.0 is characterized by the integration of advanced technologies, such as artificial intelligence, the Internet of Things, and cloud computing, into traditional manufacturing and production processes. CAx (Computer-Aided Systems) systems are a set of computer software tools used in engineering and product design, covering various stages of the product development cycle. Advanced CAx tools combine many different aspects of product lifecycle management (PLM), including design, finite element analysis (FEA), manufacturing, production planning and product. In connection with the transition to Industry 4.0 concepts, the concept of the digital twin comes to the fore, and existing CAx systems must adapt to this trend. The Special Issue deals with a number of research areas, such as: - New trends in CAx systems; Digital manufacturing; Internet of Things in manufacturing; Simulation of production systems and processes; Systems for advanced finite element analysis; Material engineering; Digitization and 3D scanning.
    Keywords: tensor glyph ; golden section ; vector space ; sandwich ; springback ; Vegter yield criterion ; numerical simulation ; PAM-STAMP 2G ; isotropic hardening law ; kinematic hardening law ; bending ; Bauschinger effect ; machine learning ; artificial neural network ; additive manufacturing ; high precision metrology ; CAD ; predictive model ; ship hull structure ; computer-aided design of structure ; database ; function soft block ; gun drill tool ; deep-drilling technology ; optimization ; tool life ; angle ; digital implant impression ; interimplant distance ; intraoral scanner ; trueness ; sewing machine ; needle bar ; floating needle ; electromagnet ; electromagnetic simulation ; noise reduction ; cycloidal gearbox ; friction ; actuator ; servomotor ; permanent magnet synchronous machine ; fixture design ; machining ; sustainable manufacturing ; process innovation ; complex-shape part ; signal processing ; monitoring system ; laser profiler ; surface roughness ; quality assessment ; non-contact method ; vision-based method ; frequency analysis ; abrasive water jet ; wood plastic composite ; natural reinforcement ; knitting machine ; stroke ; drive ; simulation ; cylinder ; dynamic modeling ; load spectrum reconstruction ; fatigue test ; hydraulic excavator ; n/a ; thema EDItEUR::C Language and Linguistics
    Language: English
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  • 4
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    The Routledge Companion to Children's Literature and Culture (2024)
    Taylor & Francis | Routledge
    Details
    Publication Date: 2024-04-03
    Description: Focusing on significant and cutting-edge preoccupations within children’s literature scholarship, The Routledge Companion to Children’s Literature and Culture presents a comprehensive overview of print, digital, and electronic texts for children aged zero to thirteen as forms of world literature participating in a panoply of identity formations. Offering five distinct sections, this volume: Familiarizes students and beginning scholars with key concepts and methodological resources guiding contemporary inquiry into children’s literature Describes the major media formats and genres for texts expressly addressing children Considers the production, distribution, and valuing of children’s books from an assortment of historical and contemporary perspectives, highlighting context as a driver of content Maps how children’s texts have historically presumed and prescribed certain identities on the part of their readers, sometimes addressing readers who share some part of the author’s identity, sometimes seeking to educate the reader about a presumed “other,” and in recent decades increasingly foregrounding identities once lacking visibility and voice Explores the historical evolutions and trans-regional contacts and (inter)connections in the long process of the formation of global children’s literature, highlighting issues such as retranslation, transnationalism, transculturality, and new digital formats for considering cultural crossings and renegotiations in the production of children’s literature Methodically presented and contextualized, this volume is an engaging introduction to this expanding and multifaceted field.
    Keywords: Children's Literature ; thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism ; thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism::DSY Children’s and teenage literature studies: general
    Language: English
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  • 5
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    The Humanities in the Digital: Beyond Critical Digital Humanities (2023)
    Springer Nature | Palgrave Macmillan
    Details
    Publication Date: 2024-03-26
    Description: This open access book challenges the contemporary relevance of the current model of knowledge production. It argues that the full digitisation of society sharply accelerated by the COVID-19 pandemic has added extreme complexity to the world, conclusively exposing the inadequacy of our current model of knowledge creation. Addressing many of the different ways in which reality has been transformed by technology – the pervasive adoption of big data, the fetishisation of algorithms and automation, and the digitalisation of education and research – Viola examines how the rigid conceptualisation in disciplines’ division and competition is complicit of promoting a narrative which has paired computational methods with exactness and neutrality whilst stigmatising consciousness and criticality as carriers of biases and inequality. Taking the humanities as a focal point, the author retraces schisms in the field between the humanities, the digital humanities and critical digital humanities; these are embedded, she argues, within old dichotomies: sciences vs humanities, digital vs non-digital and authentic vs non-authentic. Through the analysis of personal use cases and exploring a variety of applied contexts such as digital heritage practices, digital linguistic injustice, critical digital literacy and critical digital visualisation, the book shows a third way: knowledge creation in the digital.
    Keywords: Digital Hermeneutics ; digital history ; data humanities ; digital turn ; computational methods ; metadata ; information technology ; thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies
    Language: English
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  • 6
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    Voyages (2021)
    University of Ottawa Press / Les Presses de l’Université d’Ottawa
    Details
    Publication Date: 2024-03-26
    Description: Susanna Moodie is, of course, best known for her books 〈i〉Roughing It in the Bush〈/i〉 and 〈i〉Life in the Clearings〈/i〉, which are largely comprised of short sketches that she had previously published. What is not widely known, however, is that Moodie had a long and prolific literary career in which short sketches and tales were among her favoured genres. This book offers a selection of these narratives, most of which have been unavailable in print since the 19th century. This collection will give the reader a new understanding of Susanna Moodie's work.
    Keywords: narratives ; God ; thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism
    Language: English
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  • 7
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    Machine Learning and Data Mining Applications in Power Systems (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis. Conventional signal processing is no longer adequate to extract all the relevant information from distorted signals through filtering, estimation, and detection to facilitate decision-making and control actions. Machine learning algorithms, optimization techniques and efficient numerical algorithms, distributed signal processing, machine learning, data-mining statistical signal detection, and estimation may help to solve contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid’s reliability, security, and efficiency; the dynamic optimization of grid operations; demand response; the incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and the integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information, and to transform information into actionable intelligence. This Special Issue includes fifteen articles, authored by international research teams from several countries.
    Keywords: virtual power plant (VPP) ; power quality (PQ) ; global index ; distributed energy resources (DER) ; energy storage systems (ESS) ; power systems ; long-term assessment ; battery energy storage systems (BESS) ; smart grids ; conducted disturbances ; power quality ; supraharmonics ; 2–150 kHz ; Power Line Communications (PLC) ; intentional emission ; non-intentional emission ; mains signalling ; virtual power plant ; data mining ; clustering ; distributed energy resources ; energy storage systems ; short term conditions ; cluster analysis (CA) ; nonlinear loads ; harmonics, cancellation, and attenuation of harmonics ; waveform distortion ; THDi ; low-voltage networks ; optimization techniques ; different batteries ; off-grid microgrid ; integrated renewable energy system ; cluster analysis ; K-means ; agglomerative ; ANFIS ; fuzzy logic ; induction generator ; MPPT ; neural network ; renewable energy ; variable speed WECS ; wind energy conversion system ; wind energy ; frequency estimation ; spectrum interpolation ; power network disturbances ; COVID-19 ; time-varying reproduction number ; social distancing ; load profile ; demographic characteristic ; household energy consumption ; demand-side management ; energy management ; time series ; Hidden Markov Model ; short-term forecast ; sparse signal decomposition ; supervised dictionary learning ; dictionary impulsion ; singular value decomposition ; discrete cosine transform ; discrete Haar transform ; discrete wavelet transform ; transient stability assessment ; home energy management ; binary-coded genetic algorithms ; optimal power scheduling ; demand response ; Data Injection Attack ; machine learning ; critical infrastructure ; smart grid ; water treatment plant ; power system ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
    Language: English
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  • 8
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    Process Mining Workshops (2023)
    Springer Nature | Springer Nature Switzerland
    Details
    Publication Date: 2024-04-14
    Description: This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) – 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) – 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) – 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 1st International Workshop on Education meets Process Mining (EduPM) – 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)
    Keywords: process mining ; process discovery ; process analytics ; process querying ; conformance checking ; predictive process monitoring ; data science ; knowledge graphs ; event data ; streaming analytics ; machine learning ; deep learning ; business process management ; health informatics ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBH Digital and information technologies: Health and safety aspects
    Language: English
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  • 9
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    Artificial Intelligence Techniques in Hydrology and Water Resources Management (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2023-06-23
    Description: The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices. The thirteen research papers published in this Special Issue make significant contributions to long- and short-term hydrological modeling and water resources management under changing environments using AI techniques coupled with various analytics tools. These contributions, which cover hydrological forecasting, microclimate control, and climate adaptation, can promote hydrology research and direct policy making toward sustainable and integrated water resources management.
    Keywords: ANN ; roadside IoT sensors ; simulations of the gridded rainstorms ; 2D inundation simulation and real-time error correction ; weather types and features ; meteorological feature extraction ; artificial neural network ; self-organizing map (SOM) ; urban agriculture ; resource utilization efficiency ; urban northern Taiwan ; machine learning ; random forest ; regression analysis ; support vector machine ; threshold rainfall ; threshold runoff ; XGBoost ; stochastic rainfall generator ; Huff rainfall curve ; copula ; GeoAI ; artificial intelligence ; hydrological ; hydraulic ; fluvial ; water quality ; geomorphic ; modeling ; anomaly detection ; deep reinforcement learning ; telemetry water level ; time series ; ensemble ; multi-model ensemble ; precipitation ; forecasting ; persian gulf ; deep learning ; dam inflow ; RNN ; LSTM ; GRU ; hyperparameter ; rainfall time series ; artificial neural networks ; Multiple Linear Regression ; Chania ; CNN ; ELM ; temporary rivers ; hydrological extremes ; multivariate stochastic model ; autoregressive model ; Markov model ; daily temperature ; temperature generator ; Bayesian neural network ; forecasting uncertainty ; multi-step ahead forecasting ; probabilistic streamflow forecasting ; variational inference ; smart microclimate-control system (SMCS) ; system dynamics ; water–energy–food nexus ; agricultural resilience ; hydroinformatics ; hydrological modeling ; early warning ; uncertainty ; sustainability
    Language: English
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  • 10
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    Advances in Computational Intelligence Applications in the Mining Industry (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-03-21
    Description: This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
    Keywords: truck dispatching ; mining equipment uncertainties ; orebody uncertainty ; discrete event simulation ; Q-learning ; grinding circuits ; minerals processing ; random forest ; decision trees ; machine learning ; knowledge discovery ; variable importance ; mineral prospectivity mapping ; random forest algorithm ; epithermal gold ; unstructured data ; blast impact ; empirical model ; mining ; fragmentation ; mine worker fatigue ; random forest model ; health and safety management ; stockpiles ; operational data ; mine-to-mill ; geostatistics ; ore control ; mine optimization ; digital twin ; modes of operation ; geological uncertainty ; multivariate statistics ; partial least squares regression ; oil sands ; bitumen extraction ; bitumen processability ; mine safety and health ; accidents ; narratives ; natural language processing ; random forest classification ; hyperspectral imaging ; multispectral imaging ; dimensionality reduction ; neighbourhood component analysis ; artificial intelligence ; mining exploitation ; masonry buildings ; damage risk analysis ; Bayesian network ; Naive Bayes ; Bayesian Network Structure Learning (BNSL) ; rock type ; mining geology ; bluetooth beacon ; classification and regression tree ; gaussian naïve bayes ; k-nearest neighbors ; support vector machine ; transport route ; transport time ; underground mine ; tactical geometallurgy ; data analytics in mining ; ball mill throughput ; measurement while drilling ; non-additivity ; coal ; petrographic analysis ; macerals ; image analysis ; semantic segmentation ; convolutional neural networks ; point cloud scaling ; fragmentation size analysis ; structure from motion ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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