Titlebook: Intelligent and Fuzzy Systems; Digital Acceleration Cengiz Kahraman,A. Cagri Tolga,Irem Ucal Sari Conference proceedings 2022 The Editor(s)

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OCTO

A Multi-channel Deep Learning Architecture for Understanding the Urban Scene Semanticsemantic segmentation and the object detection subroutines are staged in a cascade framework through spatio-temporal datasets. Urban scene analysis has been coupled in several applications such as security, autonomous vehicles, and mass transport. The initial problem of an urban scene is characterize

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Forecasting Greenhouse Gas Emissions Based on Different Machine Learning Algorithmst a high rate, the greenhouse gas emissions are still high currently. Problems that seem to be very complex can be predicted with different algorithms without difficulty. Due to fact that artificial intelligence is often included in the studies to evaluate the solution performance and make compariso

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Real Time Big Data Analytics for Tool Wear Protection with Deep Learning in Manufacturing Industrying processes to gain operational advantages in the market. Considering how the manufacturing sector is adopting data-driven operations is challenging, given that there is not a straightforward definition of machine traceability, receiving and storing raw data from manufacturing lines, gives an oppo

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Miodrag Zivkovic,Ana Vesic,Nebojsa Bacanin,Ivana Strumberger,Milos Antonijevic,Luka Jovanovic,Marinaially in connection to decision making. The major problem seems to be the presence of epistemic uncertainty and its effects on cognition at any time point. Moreover, the stochasticity in the model arises due to the unknown path or trajectory (the definite state of mind at each point in time) a perso