Titlebook: Big Data Technologies and Applications; 10th EAI Internation Zeng Deze,Huan Huang,Naveen Chilamkurti Conference proceedings 2021 ICST Insti

拋射物

Hybrid Deep-Readout Echo State Network and Support Vector Machine with Feature Selection for Human A systems are based on recognizing Activities of Daily Living (ADLs) for providing a suitable decision. Activity recognition systems are currently employed in developing many smart technologies (e.g., smart mobile phone) and their uses have been increased dramatically with availability of Internet of

赤字

Research on User Privacy Security of China’s Top Ten Online Game Platformsto users’ private information by setting various mandatory clauses. This paper takes the ten most popular online game platforms in China in recent years as examples, using documentary analysis and quantitative analysis to analyze their privacy clauses. The research results show that there are loopho

一個(gè)姐姐

Spectrum Sensing and Prediction for 5G Radiotrum band at a given moment. This approach enables a secondary user (SU) to dynamically access the spectrum without interfering primary user’s (PU) transmission. The known methods of signal detection or spectrum sensing (SS) enable making decision on spectrum occupancy by SU. The machine learning (M

Grandstand

Towards Preventing Neighborhood Attacks: Proposal of a New Anonymization’s Approach for Social Netwooaches for databases have been adopted to anonymize social network data and prevent the various possible attacks on these networks. In this paper, we will identify an important type of attack on privacy in social networks: “neighborhood attacks”. But it is observed that the existing anonymization me

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https://doi.org/10.1007/978-3-319-53103-8f learning results, to identify students at risk in time and accurately. We select nine online learning behaviors from one course in Moodle, take one week as the basic unit and 5?weeks as the time node of learning behavior, and the aggregate data and sequence data of the first 5?weeks, the first 10?

Enteropathic

樂(lè)章

https://doi.org/10.1007/978-1-349-08039-7ident in the aviation industry that is disrupted also by the latest advances in sensor technologies, IoT devices and cyber-physical systems and their adoption in aircrafts and other aviation-related products or services. The unprecedented volume, diversity and richness of aviation data that can be a