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Wyniki wyszukiwania dla: learning curve analysis
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An A-Team Approach to Learning Classifiers from Distributed Data Sources
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An A-Team approach to learning classifiers from distributed data sources
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Didaktische simulationsmodelle fur E-learning in der IK-ausbildung.
PublikacjaPrzedstawiono dydaktyczne modele symulacyjne wykorzystywane w zdalnym kształceniu z zakresu informatyki i technik komunikacyjnych. Pokazano na przykładach zbudowanych symulatorów, w jaki sposób zrealizować lub dostosować modele symulacyjne do zdalnego nauczania. Opisano doświadczenia autorów w wykorzystaniu modeli symulacyjnych w zdalnym nauczaniu.
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ArchBGal32cB 441Glu mutein gene analysis dataset
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CFD analysis of a flow in commutation window in PWK pump
Dane BadawczeThe included data is a result of CFD analysis of a flow in a commutation window in PWK pump. The results were obtained for different pressures, viscosities and geometrical parameters of the gap. All the rows and columns have descriptions similar as in PhD Thesis: "Kompensacja skoków ciśnienia w pompie tłoczkowej o zmiennej wydajności z rozrządem krzywkowym",...
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Topological-numerical analysis of a two-dimensional discrete neuron model
PublikacjaWe conduct computer-assisted analysis of a two-dimensional model of a neuron introduced by Chialvo in 1995 [Chaos, Solitons Fractals 5, 461–479]. We apply the method of rigorous analysis of global dynamics based on a set-oriented topological approach, introduced by Arai et al. in 2009 [SIAM J. Appl. Dyn. Syst. 8, 757–789] and improved and expanded afterward. Additionally, we introduce a new algorithm to analyze the return times...
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Thermogravimetric analysis (TGA ) and derivative thermogravimetry (DTG) results for potassium citrate
Dane BadawczeThese data contains thermogravimetric analysis (TGA ) and derivative thermogravimetry (DTG) results for thermal decomposition of potassium citrate.
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Analysis-by-synthesis paradigm evolved into a new concept
PublikacjaThis work aims at showing how the well-known analysis-by-synthesis paradigm has recently been evolved into a new concept. However, in contrast to the original idea stating that the created sound should not fail to pass the foolproof synthesis test, the recent development is a consequence of the need to create new data. Deep learning models are greedy algorithms requiring a vast amount of data that, in addition, should be correctly...
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Graph Representation Integrating Signals for Emotion Recognition and Analysis
PublikacjaData reusability is an important feature of current research, just in every field of science. Modern research in Affective Computing, often rely on datasets containing experiments-originated data such as biosignals, video clips, or images. Moreover, conducting experiments with a vast number of participants to build datasets for Affective Computing research is time-consuming and expensive. Therefore, it is extremely important to...
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The chemistry, properties and performance of flame-retardant rubber composites: Collecting, analyzing, categorizing, machine learning modeling, and visualizing
PublikacjaRubbers combine the flexibility with mechanical strength, supporting myriad applications, but suffer from inherent flammability. Formulation and production of flame-retardant rubber composites (FRRCs) have intensively been practiced over years, but not comprehensively reviewed. This necessity has outlined collecting, analyzing, screening, classifying, and interpreting the literature with the aim of classifying the FRRCs. We quantified...
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Phylogenetic analysis of Oncidieae subtribe - ITS1-5,8S-ITS2
Dane BadawczeThe dataset contains alignment and consensus matrix files, and results of phylogenetic analysis of ITS1- 5,8S-ITS2 region from 186 orchid species considered to belong Oncidieae subtribe. Sequences were assessed from NCBI GeneBank (list of all records with identifiers in the separate file)
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E-marketing and trend analysis 2024, ID, sem. 6
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Rediscovering Automatic Detection of Stuttering and Its Subclasses through Machine Learning—The Impact of Changing Deep Model Architecture and Amount of Data in the Training Set
PublikacjaThis work deals with automatically detecting stuttering and its subclasses. An effective classification of stuttering along with its subclasses could find wide application in determining the severity of stuttering by speech therapists, preliminary patient diagnosis, and enabling communication with the previously mentioned voice assistants. The first part of this work provides an overview of examples of classical and deep learning...
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Image Analysis and Stereology
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COMMUNICATIONS IN ANALYSIS AND GEOMETRY
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REAL ANALYSIS EXCHANGE
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Behavior Analysis in Practice
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Journal of Legal Analysis
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Drug Testing and Analysis
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Journal of Topology and Analysis
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International Journal of Analysis
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Economic Analysis and Policy
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Journal of Logic and Analysis
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Annals of Functional Analysis
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Nonlinear Analysis Forum
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Journal of Mathematical Analysis
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Foreign Policy Analysis
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SPECTROSCOPY AND SPECTRAL ANALYSIS
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Analysis of Verbal Behavior
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Analysis and Mathematical Physics
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Journal of Analysis and Testing
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Journal of Complex Analysis
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Intelligent Data Analysis
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Communications on Stochastic Analysis
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Critical Housing Analysis
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Metallography Microstructure and Analysis
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Review of Economic Analysis
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Communications in Mathematical Analysis
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Global and Stochastic Analysis
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Journal of Analysis and Applications
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GEOMETRIC AND FUNCTIONAL ANALYSIS
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Microbial Risk Analysis
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Transactional Analysis Journal
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Numerical Analysis and Applications
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Health Risk Analysis
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Methods and Applications of Analysis
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Risk and Decision Analysis
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JOURNAL OF MULTIVARIATE ANALYSIS
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JOURNAL OF CONVEX ANALYSIS
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JOURNAL OF GEOMETRIC ANALYSIS
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