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Best results in : Research Potential Pokaż wszystkie wyniki (16)
Search results for: ATTRIBUTE PREDICTION
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Katedra Mechatroniki Morskiej
Research Potential* urządzenia okrętowe * wyposażenie pokładowe i pomocnicze * systemy ratunkowe i ewakuacyjne * niekonwencjonalne układy napędowe * napędy hybrydowe i zasilanie wielo-źródłowe * morska energetyka odnawialna * tribologia a szczególnie ślizgowe łożyskowanie wałów * kotwiczenie obiektów offshore * modelowanie * nawigacja i unikanie kolizji * optymalizacja i zagadnienia sztucznej inteligencji
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Information Assurance Group (IAG)
Research PotentialGrupa koncentruje się na zarządzaniu ryzykiem i zaufaniem w odniesieniu do różnych cech oprogramowania i systemów informatycznych, np. Bezpieczeństwa, niezawodności i prywatności. Szczególnie interesujące jest pojęcie Trust Case i powiązanej metodologii Trust-it.
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Zespół Systemów Multimedialnych
Research Potential* technologie archiwizacji, rekonstrukcji i dostępu do nagrań archiwalnych * technologie inteligentnego monitoringu wizyjnego i akustycznego * multimedialne technologie telemedyczne * multimodalne interfejsy komputerowe
Best results in : Business Offer Pokaż wszystkie wyniki (1)
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Superkomputer Tryton
Business OfferObliczenia dużej skali, Wirtualna infrastruktura w chmurze (IaaS), Analiza danych (big data)
Other results Pokaż wszystkie wyniki (4)
Search results for: ATTRIBUTE PREDICTION
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Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction
PublicationIn recent times, customer churn has become one of the most significant issues in business-oriented sectors with telecommunication being no exception. Maintaining current customers is particularly valuable due to the high degree of rivalry among telecommunication companies and the costs of acquiring new ones. The early prediction of churned customers may help telecommunication companies to identify the causes of churn and design...
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Clothes Detection and Classification Using Convolutional Neural Networks
PublicationIn this paper we describe development of a computer vision system for accurate detection and classification of clothes for e-commerce images. We present a set of experiments on well established architectures of convolutional neural networks, including Residual networks, SqueezeNet and Single Shot MultiBox Detector (SSD). The clothes detection network was trained and tested on DeepFashion dataset, which contains box annotations...
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Combination of instrumental and qualitative descriptive analysis for evaluation of selected tonic waters quality features
PublicationThe combination of sensory and instrumental analysis was applied for quality assurance of selected tonic waters. The Quantitative Descriptive Analysis (QDA) in terms of fourteen sensory attributes (aroma, astringency, bite, burn, numbing, tongue heaviness, carbonation, mouth coating, sweet taste, sour taste, bitter taste, sweet aftertaste, sour aftertaste, bitter aftertaste) of selected tonic waters was performed by sensory experts....
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Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study
PublicationPlain weave composite is a long-lasting type of fabric composite that is stable enough when being handled. Open-hole composites have been widely used in industry, though they have weak structural performance and complex design processes. An extensive number of material/geometry parameters have been utilized for designing these composites, thereby an efficient computational tool is essential for that purpose. Different Machine Learning...