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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Prediction of the Future Success of Candidates Before Recruitment with Machine Learning: A Case Studinimizing the evaluation complexity of big data in the recruitment process. This study covers the data of 597 employees of a private bank serving in Turkey and considers the first two-year performance evaluations of the employees while creating output labels. We have conducted a three-stage methodol

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Effectiveness of Social Media in Stock Market Price Prediction Based on Machine Learning models, and analyzed it using 7 different classification algorithms such as Multi-Layer Perceptron, Random Forest, and deep learning algorithm. After all the models and analysis, we got a total of 1440 different results. According to our results, the accuracy rates vary according to the data groups

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Prospects for the Development of Transport Logistics and a Fuzzy Logic Model of the Strategic Goals ail. They have a relatively high volume of trade and economic transactions, and a relatively low volume of transit cargo. The share of transit cargo in the total volume of cargo transported by ZhT in our country was 25%. A fuzzy logic model has been developed to select the most suitable one for carg

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A Multi-channel Deep Learning Architecture for Understanding the Urban Scene Semantics generate the city insights. The task of semantic segmentation is to label every pixel including the background into a semantic class. The object detection locates the presence of objects and types or classes of the located objects in an image. The instance segmentation contains these two tasks. Thi

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The Computation Trend of Fuzzy Rules for Effective Decision Support Mechanism on Basis of SupervisedYear Dataset and 87.5% for 15 Year Dataset. Meanwhile, it is very uncertain to refrain from the findings of concurrent studies on real–world investing strategies due to the lack of predictable results. The author has concluded that the Decision tree algorithm has the highest prediction accuracy of 8