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200 10$aImmersive words $emass media, visuality, and American literature, 1839-1893 /$fShelly Jarenski
210 1$aTuscaloosa, Alabama :$cThe University of Alabama Press,$d2015.
210 4$dİ2015
215 $a1 online resource (248 p.)
300 $aDescription based upon print version of record.
311 $a0-8173-1867-4
320 $aIncludes bibliographical references and index.
327 $aDisruptive aesthetics: Melville's daguerrean experiments -- Panoramic aesthetics and African American challenges -- Imagined tourism: Hawthorne's virtual Rome -- Spectacular display: the politics of exhibition aesthetics -- Coda.
330 $a
Shelly Jarenski is an assistant professor of English at the University of Michigan in Dearborn. Her articles have appeared in American Quarterly, MELUS, and the Journal of the Midwest Modern Language Association.
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606 $aNational characteristics, American, in literature
606 $aAesthetics in literature
606 $aAesthetics, American
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200 10$aAdvances in Integrations of Intelligent Methods $ePost-workshop volume of the 8th International Workshop CIMA 2018, Volos, Greece, November 2018 (in conjunction with IEEE ICTAI 2018) /$fedited by Ioannis Hatzilygeroudis, Isidoros Perikos, Foteini Grivokostopoulou
205 $a1st ed. 2020.
210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020.
215 $a1 online resource (171 pages)
225 1 $aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v170
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320 $aIncludes bibliographical references.
327 $aAligning Learning Materials and Assessment with Course Learning Outcomes in MOOCs using Data Mining Techniques -- Edge-Centric Queries Stream Management based on an Ensemble Model -- Bitcoin Price Prediction Combining Data and Text Mining -- Towards New Evaluation Metrics for Relational Learning -- Color Models for Skin Lesions Classification from Dermatoscopic Images -- Methods of Statistical Analysis and Machine Learning for the Evaluation of Generated Hardware and Firmware Designs -- Genetic Algorithms for Creating Large Job Shop Dispatching Rules.
330 $aThis book presents a number of research efforts in combining AI methods or techniques to solve complex problems in various areas. The combination of different intelligent methods is an active research area in artificial intelligence (AI), since it is believed that complex problems can be more easily solved with integrated or hybrid methods, such as combinations of different soft computing methods (fuzzy logic, neural networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and classical AI methods; and agent-based approaches with logic and non-symbolic approaches. Some of the combinations are already extensively used, including neuro-symbolic methods, neuro-fuzzy methods, and methods combining rule-based and case-based reasoning. However, other combinations are still being investigated, such as those related to the semantic web, deep learning and swarm intelligence algorithms. Most are connected with specific applications, while the rest are based on principles.
410 0$aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v170
606 $aComputational intelligence
606 $aArtificial intelligence
606 $aTelecommunication
606 $aComputational Intelligence
606 $aArtificial Intelligence
606 $aCommunications Engineering, Networks
615 0$aComputational intelligence.
615 0$aArtificial intelligence.
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615 14$aComputational Intelligence.
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615 24$aCommunications Engineering, Networks.
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