Titlebook: Computer Information Systems and Industrial Management; 18th International C Khalid Saeed,Rituparna Chaki,Valentina Janev Conference procee

协奏曲

Diagnosing Parkinson’s Disease with the Use of a Reduced Set of Patients’ Voice Features Sampleson and Sequential Backward Selection methods were used to reduce features. The data reduced were classified separately with the use of over a dozen popular classifiers. The effectiveness of diagnosing Parkinson’s disease on a reduced set of data was determined for each classifier. Then it was compar

财主

Big Data and the Internet of Things in Edge Computing for Smart City city cloud via the Internet of Things. To improve the efficiency of the city clouds an edge computing has been introduced regarding Big Data mining. This intelligent and efficient distributed system can be developed for citizens that are supposed to be informed and educated by the smart agents. Bes

Modify

废墟

懒惰人民

nascent

Evaluation of the Existing Tools for Fake News Detectionuality control over the digital content being published and shared, has led information veracity to a continuous deterioration. Therefore, there is a growing need for reliable information assurance, called by both private and public users and authorities. Due to the popularity of the social media an

扩张

A Model-Driven Approach for Simplified Cluster Based Test Suite Optimization of Industrial Systems –f entire development cost. Testing requires the execution of all possible test cases in order to find defects in software. However, the selection and implementation of right test cases is always challenging for large scale industrial systems. In this context, clustering is a renowned approach for ac

他一致

Linking Open Drug Data: Lessons Learnede data in an open machine-readable format and to interlink it from diverse repositories to enable diverse usage scenarios for both humans and machines. The pharmaceutical/drug industry was among the first that validated the applicability of the approach for interlinking and publishing open linked da

越自我

热情的我