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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書(shū)目名稱(chēng)Intelligent and Fuzzy Systems影響因子(影響力)




書(shū)目名稱(chēng)Intelligent and Fuzzy Systems影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Intelligent and Fuzzy Systems網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Intelligent and Fuzzy Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Intelligent and Fuzzy Systems被引頻次




書(shū)目名稱(chēng)Intelligent and Fuzzy Systems被引頻次學(xué)科排名




書(shū)目名稱(chēng)Intelligent and Fuzzy Systems年度引用




書(shū)目名稱(chēng)Intelligent and Fuzzy Systems年度引用學(xué)科排名




書(shū)目名稱(chēng)Intelligent and Fuzzy Systems讀者反饋




書(shū)目名稱(chēng)Intelligent and Fuzzy Systems讀者反饋學(xué)科排名

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Prediction of the Future Success of Candidates Before Recruitment with Machine Learning: A Case Studo convert their recruitment processes to online platforms to face digital challenges and reach a massive number of candidates. In addition, the increase in job applications and the number of positions has raised the evaluation process complexity of candidate data. Wrong hiring decisions caused by th

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混合物

Improving Disease Diagnosis with Integrated Machine Learning Techniquestively also in the healthcare domain. In this study, we focus on the application of machine learning algorithms for disease diagnosis in order to support decision making of physicians. Different classification methods are used to predict the diameter narrowing in the heart using an anonymous dataset

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Explanation of Machine Learning Classification Models with Fuzzy Measures: An Approach to Individualg the value of a collection of them in several situations where different information sources (features) are available. To establish the value of the response feature, these techniques need to know the predictive ability of some features over others. We can distinguish two ways of performing this al

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A Machine Learning Based Method for Automatic Identification of Disaster Related Information Using Tuding Twitter and Facebook data can play a critical role in various phases of disaster management, in particular in the phases of disaster response and disaster preparedness. Geospatial data available by Twitter provide valuable real time information for search and rescue operations of emergency res

滑稽

Human Activity Recognition with?Smart Watches Using Federated Learningrivacy and saving communication costs. Wearable devices, such as smart watches, are personal devices and generate lots of personal sensor data. In this respect, FL can offer advantages; hence, their data requires more privacy, and saving communication costs is essential. In this paper, we investigat

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Prediction of Gross Movie Revenue in the Turkish Box Office Using Machine Learning Techniquesvarious movie attributes. The field lacks a gross movie revenue prediction model that specifically concerns the gross movie revenues in the Turkish box office. The aim of this study is to build a model to predict the gross movie revenue in the Turkish box office using machine learning techniques. Th