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Wyniki wyszukiwania dla: amalgamaty
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Kierunki rozwoju materiałów kompozytowych na wypełnienia stałe jako alternatywy amalgamatów stomatologicznych
PublikacjaOmówiono nowe wypełnienia w formie materiałów kompozytowych z nanowypełnieniami. Dokonano analizy właściwości tych materiałów w porównaniu z klasycznymi amalgamatami.
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Charakterystyka współczesnych materiałów amalgamatowych na wypełnienia stomatologiczne=Characteristics of amalgam materials for stomatology fillers
PublikacjaPrzedstawiono wyniki analizy własności aktualnie stosowanych amalgamatów stomatologicznych. Wskazano kierunki rozwoju tego materiału.
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Set of Experience and Decisional DNA: Experience-Based Knowledge Structures
PublikacjaThis chapter presents a description of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA), argumentation for a knowledge representation, composition, configuration and metrics. SOEKS is a combination of filtered and amalgamated information obtained from formal decision events. It facilitates effective explicit representation of decisional experience taken from different technologies. SOEKS comprises variables,...
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Bimodal deep learning model for subjectively enhanced emotion classification in films
PublikacjaThis research delves into the concept of color grading in film, focusing on how color influences the emotional response of the audience. The study commenced by recalling state-of-the-art works that process audio-video signals and associated emotions by machine learning. Then, assumptions of subjective tests for refining and validating an emotion model for assigning specific emotional labels to selected film excerpts were presented....
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A new multi-process collaborative architecture for time series classification
PublikacjaTime series classification (TSC) is the problem of categorizing time series data by using machine learning techniques. Its applications vary from cybersecurity and health care to remote sensing and human activity recognition. In this paper, we propose a novel multi-process collaborative architecture for TSC. The propositioned method amalgamates multi-head convolutional neural networks and capsule mechanism. In addition to the discovery...