Titlebook: ICT Innovations 2021. Digital Transformation; 13th International C Ljupcho Antovski,Goce Armenski Conference proceedings 2022 Springer Natu

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书目名称ICT Innovations 2021. Digital Transformation读者反馈学科排名

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Multi-criteria Evaluation of Students’ Performance Based on Hybrid AHP-Entropy Approach with TOPSIS,re objective macroscopic results. The Multiple Assessment integration (MAI) of the evaluation values in TOPSIS, MOORA and WPM allows to explore their behavior with different data sets and contributes to consolidate the final results for obtaining a better holistic and personalized view of the education process for each individual student.

虚情假意

Modeling the Association Between Prenatal Exposure to Mercury and Neurodevelopment of Childrene have used feature ranking methods to estimate the importance of individual lifestyle and mercury exposure attributes on the Bayley-III test scores. The learned models offer useful insights into the effect of prenatal mercury exposure on the neural development of children.

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1865-0929 vent in September 2021..The 15 full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on deep learning and AI; NLP and social network analysis; theoretical foundations and information security; e-services; sensor systems, IoT..978

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1865-0929 tions on deep learning and AI; NLP and social network analysis; theoretical foundations and information security; e-services; sensor systems, IoT..978-3-031-04205-8978-3-031-04206-5Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Automated Assessment of Lower and Higher-Order Thinking Skills Using Artificial Intelligence Methodsses an approach for automated complex assessment, using methods of artificial intelligence. Experiments have been conducted using Neural Networks, SVM and Linear Regression algorithms. The Orange application was used to conduct the study.

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Models for Detecting Frauds in Medical Insuranceen their cross-section is undertaken. The dataset is unbalanced concerning the records of both classes, therefore certain balancing techniques are applied. Several models are built using traditional Machine Learning models, classifiers with Deep Neural Networks and ensemble algorithms and their perf