Titlebook: Intelligent Systems: Theory, Research and Innovation in Applications; Ricardo Jardim-Goncalves,Vassil Sgurev,Janusz Kacp Book 2020 Springe

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ETCH

Luís Barreto,António Amaral,Sara Baltazardigital transformation. Providing a (digital) infrastructure enables the value-creating exchange of information, goods, or services between several players, the basis for the emergence of a functioning two-sided market. It is often startups that appear as new players in the digital logistics market,

小淡水鱼

Jorge Sampaio Silveira Júnior,Edson Bruno Marques Costarisk environments. Companies can adjust to these challenging circumstances by constantly reinventing themselves. German industry is world-renowned for its engineering of technical products and services. Due to the success of US-American and Chinese consumer-oriented platform-based business models, t

Resection

Stanimir Stoyanov,Todorka Glushkova,Asya Stoyanova-Doycheva,Jordan Todorov,Asya Toskovad especially business models. Therefore, this study analyzes the impact of data on industrial business models and how newly emerging industrial data-driven business models (IDDBMs) can be systematically clustered. Given the novelty of the research topic, we choose an exploratory study design that co

Fabric

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Interpretable Convolutional Neural Networks Using a Rule-Based Framework for Classification,es. This is achieved by creating a classification layer based on a Neural Fuzzy classifier, and integrating it into the overall learning mechanism within the deep learning structure. Using this new structure, one can extract linguistic Fuzzy Logic-based rules from the deep learning structure directl

morale

Firefly

Smart Manufacturing Systems: A Game Theory based Approach,ts. The approach is inspired by recent encouraging results of game theory (GT) based learning in computer and control science. However, instead of representing the entire control behavior as a strategic game which might results in long training times and huge data set requirements, we restrict the l

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Ensembles of Cluster Validation Indices for Label Noise Filtering,e used for identifying mislabeled instances or class outliers prior to training in supervised learning problems. We introduce an ensemble technique, entitled CVI-based Outlier Filtering, which identifies and eliminates mislabeled instances from the training set, and then builds a classification hypo