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Document Image Processing

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ISBN: 9783038971054 9783038971061 Year: Pages: 216 DOI: 10.3390/books978-3-03897-106-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2018-09-19 10:53:09
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Document Image Processing allows systems like OCR, writer identification, writer recognition, check processing, historical document processing, etc., to extract useful information from document images. What we call a document image ranges from images of historical documents written on various surfaces, to synthetic images (useful for creating datasets) and videos including text. In order to succeed, many preprocessing tasks can be required: document skew detection and correction, slant removal, binarization and segmentation procedures, as well as other normalization tasks. These low-level tasks are generally followed by high-level tasks such as the recognition or spotting of textual elements (characters, words, or text lines). The intent of this Special Issue is to collect the experiences of leading scientists of the field, but also to be an assessment tool for people who are new to the world of document image processing.

Sentiment Analysis for Social Media

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ISBN: 9783039285723 / 9783039285730 Year: Pages: 152 DOI: 10.3390/books978-3-03928-573-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:56
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Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in industry, due to its extremely high potential applicability in many different domains. This Special Issue describes both technological contributions to the field, mostly based on deep learning techniques, and specific applications in areas like health insurance, gender classification, recommender systems, and cyber aggression detection.

Knowledge Manageation and Big Data: Implications for Sustainability, Policy Making and Competitiveness

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ISBN: 9783039280087 9783039280094 Year: Pages: 416 DOI: 10.3390/books978-3-03928-009-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Education
Added to DOAB on : 2020-01-07 09:21:22
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The evolution of knowledge management theory and the special emphasis on human and social capital sets new challenges for knowledge-driven and technology-enabled innovation. Emerging technologies including big data and analytics have significant implications for sustainability, policy making, and competitiveness. This edited volume promotes scientific research into the potential contributions knowledge management can make to the new era of innovation and social inclusive economic growth. We are grateful to all the contributors of this edition for their intellectual work. The organization of the relevant debate is aligned around three pillars: SECTION A. DATA, KNOWLEDGE, HUMAN AND SOCIAL CAPITAL FOR INNOVATION: We elaborate on the new era of knowledge types and the emerging forms of social capital and their impact on technology-driven innovation. Topics include: Social Networks; Smart Education; Social Capital; Corporate Innovation; Disruptive Innovation; Knowledge integration; Enhanced Decision-Making. SECTION B. KNOWLEDGE MANAGEMENT & BIG DATA ENABLED INNOVATION: In this section, knowledge management and big data applications and systems are presented. Selective topic include: Crowdsourcing Analysis; Natural Language Processing; Data Governance; Knowledge Extraction; Ontology Design Semantic Modeling SECTION C. SUSTAINABLE DEVELOPMENT: In the section, the debate on the impact of knowledge management and big data research to sustainability is promoted with integrative discussion of complementary social and technological factors including: Big Social Networks on Sustainable Economic Development; Business Intelligence

Keywords

innovation capability --- social capital --- knowledge creation --- human capital investment --- training --- education --- communication --- six sigma --- structural equation model --- leadership --- innovation performance --- knowledge sharing --- social capital --- project-based organization --- citizen-scientist --- climate change --- crowdsourcing --- MTurk --- social networks --- Twitter --- social networks --- big data --- big data analysis --- sustainable development --- text mining --- NLP --- technological information --- patent analysis --- text structure --- top management team --- strategic decision-making --- risk perception --- knowledge creation process --- process innovation capability --- product innovation capability --- sustainable competitive advantage --- data governance --- cloud computing --- cloud data governance --- taxonomy --- systematic review --- holistic --- text feature extraction --- patent analysis --- hybrid neural networks --- mechanical patent classification --- international technological collaboration --- IC manufacturing --- patent association analysis --- social network analysis --- collaboration network --- corporate sustainability --- business intelligence --- multi-dimensional data model --- key performance indicators --- knowledge assets --- knowledge embeddedness --- knowledge specificity --- disruptive innovation --- personalized business mode --- technology acceptance model --- user acceptance --- data analysis --- ontology design --- knowledge management --- heterogeneous architectures --- Big Data --- transformational training programs-TTP --- quality orientation of employees-QOE --- employee loyalty-EL --- universities --- Jordan --- administrative file --- administrative procedure --- sustainability --- open data --- linked data --- provenance --- RDF --- PROV-O --- P-PLAN --- big data --- visualizing --- intellectual structure --- big data environment --- co-citation network --- collaboration network --- sustainability --- bibliometric --- knowledge management --- keywords analysis --- intellectual structure --- emerging trends --- knowledge mapping --- new ventures --- internal social networks --- absorptive capacity --- innovation --- big data --- competitive advantage --- disruptive innovation --- human capital --- innovation --- knowledge management --- sustainability --- smart education --- social networks --- social media --- conceptual maturity model --- technology-enhanced learning process

Empirical Finance

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ISBN: 9783038977063 Year: Pages: 276 DOI: 10.3390/books978-3-03897-707-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-04-05 10:34:31
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There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of “Empirical Finance” and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.

Keywords

text similarity --- text mining --- machine learning --- SVM --- neural network --- LSTM --- credit risk --- ensemble learning --- deep learning --- bagging --- random forest --- boosting --- deep neural network --- causality-in-variance --- cross-correlation function --- housing and stock markets --- algorithmic trading --- take profit --- stop loss --- MACD --- ATR --- city banks --- dependence structure --- copula --- n/a --- market microstructure --- price discovery --- latency --- currency crisis --- random forests --- wavelet transform --- predictive accuracy --- housing price --- bank credit --- housing loans --- real estate development loans --- TVP-VAR model --- exchange rate --- volatility --- exports --- ARDL --- Vietnam --- crude oil futures prices forecasting --- convolutional neural networks --- short-term forecasting --- utility of international currency --- inertia --- liquidity risk premium --- US dollar --- Japanese yen --- cointegration --- statistical arbitrage --- natural gas --- wholesale electricity --- futures market --- spark spread --- earnings management --- earnings manipulation --- earnings quality --- initial public offering --- IPO --- asset pricing model --- data mining --- bankruptcy prediction --- financial and non-financial variables --- institutional investors’ shareholdings --- panel data model --- piecewise regression model --- global financial crisis --- gold return --- asymmetric dependence --- financial market stress --- robust regression --- quantile regression --- structural break --- flight to quality

Human and Animal Sensitivity: How Stock-People and Consumer Perception Can Affect Animal Welfare

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ISBN: 9783039212613 9783039212620 Year: Pages: 234 DOI: 10.3390/books978-3-03921-262-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Animal Sciences
Added to DOAB on : 2019-12-09 11:49:15
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This book presents cross-discipline studies covering aspects ranging from animal science to social/consumer sciences and psychology, with the aim to collect and disseminate information promoting the continuous enhancement of animal welfare by improving stakeholders’ perception of animal welfare. Although animal welfare is about how the animals perceive the surrounding environment, the actual welfare of the animals is dependent on how the stakeholders perceive and weigh animal welfare. The stakeholders can, either directly (i.e., through stock-people interaction with the animals) or indirectly (e.g., when retailers and consumers are willing to pay more for high welfare animal-based products), affect the way animals are kept and handled.

Keywords

veterinary student --- animal ethics --- pain perception --- animal --- animal welfare --- Animal welfare --- husbandry practices --- lambs --- pain --- sheep farmers --- perception --- agreement --- aggression --- animal welfare --- desensitization --- perception --- pigs --- animal welfare --- young adult --- animal attitudes --- children --- farm animals --- animal welfare --- education --- technology --- animal welfare --- Asia --- knowledge --- slaughter --- transport --- training --- animal welfare --- benefit --- profit --- human health --- Asia --- livestock --- farmer perception --- citizen perception --- qualitative research --- free elicitation narrative interviews --- animal welfare --- consumer --- willingness to pay --- pig --- castration --- immunocastration --- information --- survey --- human-animal relationship --- fear --- laying hen --- stockpeople attitudes --- stockperson behaviour --- egg farm --- albumen corticosterone --- welfare --- animal welfare --- stakeholder perception --- text mining --- horse --- donkey --- goat --- sheep --- turkey --- farm animal welfare (FAW) --- willingness to pay --- food safety concerns --- ethical concerns --- perceived consumer effectiveness --- broiler --- dairy buffalo --- human-animal relationship --- animal behavior --- test-retest reliability --- avoidance distance --- milk production --- animal welfare --- animal welfare --- stunning --- religious slaughter --- veterinary students --- Halal meat --- racehorse welfare --- staff shortages --- horse–human relationship --- standards of care --- employee relations --- consumer demand --- economics --- farm animal welfare --- producer perspective

Formal and Methodological Approaches to Applied Linguistics

Authors: ---
ISBN: 9783039283224 9783039283231 Year: Pages: 144 DOI: 10.3390/books978-3-03928-323-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Linguistics
Added to DOAB on : 2020-04-07 23:07:08
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The goal of this Special Issue is to bring together state-of-the art articles on applied linguistics which reflect investigation carried out by researchers from different parts of the world. By bringing together papers from different perspectives, we hope to be able to gain a better understanding of the field. Hence, this Special Issue intends to address the study of language in its different dimensions and within the framework of multiple methodologies and formal accounts as used by researchers in the field. This Special Issue is dedicated to research in any area related to applied linguistics, including language acquisition and language learning; language teaching and curriculum design; language for specific purposes; psychology of language, child language and psycholinguistics; sociolinguistics; pragmatics; discourse analysis; corpus linguistics, computational linguistics and language engineering; lexicology and lexicography; and translation and interpretation.

Keywords

linguistic landscape --- minority language --- bilingualism --- multilingualism --- language contact --- bilingualism --- language contact --- pattern borrowing --- Russian --- Samoyedic languages --- Tungusic languages --- reflexive --- valency changing --- middle voice --- English for Specific Purposes --- Content and Language Integrated Learning (CLIL) --- business English --- legal English --- teacher training --- foreign language teaching --- Integrating Content and Language in Higher Education (ICLHE) --- English as a medium of instruction (EMI) --- teaching methodologies in Higher Education --- internationalization of the curriculum --- named river --- conceptual information extraction --- geographic contextualization --- text mining --- Frame-Based Terminology --- food --- idiom --- metaphor --- metonymy --- English as a Foreign Language --- lexemic transfer --- lemmatic transfer --- Lexical Crosslinguistic Influence --- Study Abroad --- language policy --- higher education --- internationalisation --- discourse analysis --- language diversity --- language attitudes --- English linguistic imperialism --- Spanish universities --- modals --- late Modern English scientific writing --- Coruña Corpus --- spontaneous translanguaging --- discourse practices --- language acquisition --- translation --- corpus analysis --- domain loss --- frame-based terminology --- conceptual complexes --- grammatical gender --- interference --- cognates --- Papiamentu --- Spanish --- n/a

Intelligent Marine Robotics Modelling, Simulation and Applications

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ISBN: 9783039281329 / 9783039281336 Year: Pages: 242 DOI: 10.3390/books978-3-03928-133-6 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Pathology
Added to DOAB on : 2020-06-09 16:38:57
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The biennial Congress of the Italian Society of Oral Pathology and Medicine (SIPMO) is an International meeting dedicated to the growing diagnostic challenges in the oral pathology and medicine field. The III International and XV National edition will be a chance to discuss clinical conditions which are unusual, rare, or difficult to define. Many consolidated national and international research groups will be involved in the debate and discussion through special guest lecturers, academic dissertations, single clinical case presentations, posters, and degree thesis discussions. The SIPMO Congress took place from the 17th to the 19th of October 2019 in Bari (Italy), and the enclosed copy of Proceedings is a non-exhaustive collection of abstracts from the SIPMO 2019 contributions.

Big Data Research for Social Sciences and Social Impact

Authors: --- ---
ISBN: 9783039282203 9783039282210 Year: Pages: 416 DOI: 10.3390/books978-3-03928-221-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.

Keywords

big data --- illegal accommodation --- institutional innovation --- transaction costs --- housing problem --- building stock management --- Hong Kong --- information diffusion --- community detection --- topic analysis --- sentiment analysis --- social networks --- Social network --- sustainable development --- review voting --- online community --- paradox --- smart citizens --- experimental cities --- smart cities --- technopolitics --- big data --- Barcelona --- data commons --- decision-makers --- policy --- GDPR --- big data --- social sciences --- decision-making --- data analyst --- filtering --- framing --- big data --- maturity model --- temporal analytics --- advanced business analytics --- big data analytic methods --- semantic network analysis --- framings --- NodeXL --- promising technology --- research frontier --- bibliometric analysis --- hype cycle --- technology platforms --- sustainable agri-food systems --- innovation in sustainable agriculture --- online data --- data mining --- TP organics --- big data research --- point of interests (POI) --- sustainability development --- spatial accessibility of residential public services --- Xiamen City --- big data --- sales prediction --- online word-of-mouth --- dynamic topic model --- product attributes --- back-propagation neural network --- systematic and replicable patent analysis method --- problem-solved concept --- context–problem network --- network data analysis --- sustainable wireless energy transmission technology --- big data analytics --- text mining --- association rule --- car review --- skills --- researchers --- early career --- text mining --- social media big data --- lbsn --- check-in density --- spatiotemporal analysis --- KDE --- GWR --- SDE --- Guangzhou --- educational data mining --- learning analytics --- machine learning --- big data --- prediction grades --- destination image --- user-generated content --- online travel review --- big data analytics --- opinion mining --- sentiment analysis --- resource optimisation --- place sustainability --- TripAdvisor --- Greek Attica --- opinion mining --- social media --- social networks --- sentiment analysis --- sentiment polarity classification --- social impact --- big data research --- information systems --- analytics --- decision making --- social sciences --- big data research --- social and humanistic computing --- social sciences --- social good --- social impact --- machine learning --- knowledge management --- web science --- data science --- social inclusive economic growth --- sustainability --- innovation --- innovation networks

Contemporary Nostalgia

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ISBN: 9783039215560 9783039215577 Year: Pages: 194 DOI: 10.3390/books978-3-03921-557-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Media and communication
Added to DOAB on : 2019-12-09 11:49:15
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Some of the most pressing contemporary issues (ecological crisis, migration and integration, fragmented worldviews, social media, fake news, extremist politics and terrorism) can be understood more profoundly through how they interact with both individual and collective forces of nostalgia. Nostalgia is politics, but these politics are also interwoven with media and culture. Notwithstanding how nostalgia is used or contextualized in terms of politics and social practices, commodification or personal development, its power is primarily situated within its efficacy as a governing, influential human emotion. The vast and luminous contributions to this special issue on contemporary nostalgia are all investigating the role different aesthetic media formats (film, music, literature, computer games) plays in nostalgic negotiations with style, history, migration, love, nationalism, diaspora, irony, modernity, colonial and postcolonial discourses, and adoption. Mutually, these essays stand out as important, original, critical contributions to the expanding field of nostalgia studies and offer a valued insight on our world.

Keywords

nostalgia --- railways --- modernity --- modernism --- American literature --- heritage cinema --- Hollywood --- reflective nostalgia --- restorative nostalgia --- metanostalgia --- nostalgia --- Lars Gustafsson --- poetry --- tropic reinvention --- landscape --- childhood --- imagery --- expatriation --- nostalgia --- Ian McEwan --- Atonement --- ethics --- responsibility --- nostalgia --- contemporary nostalgia --- nostalgic experience --- nostalgic narrative --- narrative modes --- narrative mediation --- reflective nostalgia --- idealisation --- first-person narrative --- Finland-Swedish literature --- Second World War --- North Africa Campaign --- Egypt --- cosmopolitanism --- imperial nostalgia --- colonial nostalgia --- collective memory --- nostalgia --- ostalgia --- Czech film --- Czech history --- normalisation --- post-communism --- Yugonostalgia --- post-Yugoslav music --- the concept of love --- commodification of feelings and memories --- émigré writers --- lost ideal --- nostalgia --- myths --- popular literature --- nostalgia --- video games --- independent style --- retro aesthetics --- historical recreation --- simulation --- nostalgic dystopias --- F. Scott Fitzgerald --- “The Rich Boy” --- Niklas Salmose --- nostalgia --- nostalgic strategies --- text-image relations --- Red Book Magazine --- F.R. Gruger --- illustrations --- advertisements --- media --- intermediality --- transnational adoption --- nostalgia --- motherhood --- autobiography --- Naumann --- Rickardsson --- nostalgia --- Richard Ford --- pastoral --- southern gothic --- grotesque --- memory --- partition --- nation-state --- Foucault --- heterotopia --- India --- Pakistan --- Partition fiction --- refugees --- Nubia --- nostalgic spaces --- displacement --- territory --- disembodied territoriality --- spatial production --- n/a

Molecular Computing and Bioinformatics

Authors: --- ---
ISBN: 9783039211951 9783039211968 Year: Pages: 390 DOI: 10.3390/books978-3-03921-196-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Biotechnology
Added to DOAB on : 2019-08-28 11:21:27
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This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis.

Keywords

prostate cancer --- Mycoplasma hominis --- endoplasmic reticulum --- systems biology --- protein targeting --- biomedical text mining --- big data --- Tianhe-2 --- parallel computing --- load balancing --- bacterial computing --- bacteria and plasmid system --- Turing universality --- recursively enumerable function --- miRNA biogenesis --- structural patterns --- DCL1 --- protein–protein interaction (PPI) --- clustering --- protein complex --- penalized matrix decomposition --- avian influenza virus --- interspecies transmission --- amino acid mutation --- machine learning --- Bayesian causal model --- causal direction learning --- K2 --- brain storm optimization --- line graph --- Cartesian product graph --- join graph --- atom-bond connectivity index --- geometric arithmetic index --- P-glycoprotein --- efflux ratio --- in silico --- machine learning --- hierarchical support vector regression --- absorption --- distribution --- metabolism --- excretion --- toxicity --- image encryption --- chaotic map --- DNA coding --- Hamming distance --- Stenotrophomonas maltophilia --- iron acquisition systems --- iron-depleted --- RAST server --- NanoString Technologies --- siderophores --- gene fusion data --- gene susceptibility prioritization --- evaluating driver partner --- gene networks --- drug-target interaction prediction --- machine learning --- drug discovery --- microRNA --- environmental factor --- structure information --- similarity network --- bioinformatics --- identification of Chinese herbal medicines --- biochip technology --- DNA barcoding technology --- DNA strand displacement --- cascade --- 8-bit adder/subtractor --- domain label --- Alzheimer’s disease --- gene coding protein --- sequence information --- support vector machine --- classification --- adverse drug reaction prediction --- heterogeneous information network embedding --- stacking denoising auto-encoder --- meta-path-based proximity --- Panax ginseng --- oligopeptide transporter --- flowering plant --- phylogeny --- transcription factor --- multiple interaction networks --- function prediction --- multinetwork integration --- low-dimensional representation --- dihydrouridine --- nucleotide physicochemical property --- pseudo dinucleotide composition --- RNA secondary structure --- ensemble classifier --- diabetes mellitus --- hypoxia-inducible factor-1? --- angiogenesis --- bone formation --- osteogenesis --- protein transduction domain --- membrane computing --- edge detection --- enzymatic numerical P system --- resolution free --- molecular computing --- molecular learning --- DNA computing --- self-organizing systems --- pattern classification --- machine learning --- laccase --- Brassica napus --- lignification --- stress --- molecular computing --- bioinformatics --- machine learning --- protein --- DNA --- RNA --- drug --- bio-inspired

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