Titlebook: Artificial Intelligence Applications and Innovations; 16th IFIP WG 12.5 In Ilias Maglogiannis,Lazaros Iliadis,Elias Pimenidis Conference pr

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Using Multimodal Contextual Process Information for the Supervised Detection of Connector Lock Eventmost cases these sound detection models are trained on publicly available sound databases, up?to now, however, they do not include acoustic data from manufacturing environments. Within manufacturing industries, acoustic data can be exploited in order to evaluate the correct execution of assembling p

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A Machine Learning Model to Detect Speech and Reading Pathologiesose speech and reading disorders. Roughly speaking, they work as follows. During a session, some strings of letters, which may or not correspond to existing words, are displayed to the patient for an amount of time set by the therapist. Next, the patient is asked for typing the read string. From the

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Forecasting Hazard Level of Air Pollutants Using LSTM’st it had on economy and on health of humans and crops. PM 2.5 in particular has been linked to cardiovascular diseases, pulmonary diseases, increased risk of lung cancer and acute respiratory infections. Higher concentration of surface ozone has been observed to have negatively impacted agricultural

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Hypotheses Tests Using Non-asymptotic Fuzzy Estimators and Fuzzy Critical Valuesic fuzzy estimators in fuzzy hypothesis testing. These are triangular shaped fuzzy numbers that generalize the fuzzy estimators based on confidence intervals in such a way that eliminates discontinuities and ensures compact support. Our approach is particularly useful in critical situations, where s

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Preservation of the Exchange Principle via Lattice Operations on (S,N)– Implicationson the cases of (S,N)– implications and the preservation of the exchange principle via lattice operations. We present and prove some sufficient conditions such that the exchange principle is preserved under the join and meet operations if we use (S,N)– implications.

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Backward-Forward Sequence Generative Network for Multiple Lexical Constraints and word embedding substitution method that can cater multiple lexical constraints for generating quality sequences. Experiments shows that our proposed architecture outperforms previous methods in terms of intrinsic evaluation.

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Using Multimodal Contextual Process Information for the Supervised Detection of Connector Lock Events from each other respectively from background noise and sound events with similar acoustic properties. Therefore, different types of feature representations as well as neural network architectures are investigated for this specific task..The results from the proposed analysis show, that multimodal