Real-time AI-driven trend analytics for smart city digital services using streaming data. [PDF]
Kalpeyeva Z +5 more
europepmc +1 more source
Twitter data emotion analysis using Hadoop and metaheuristic optimized Graphical Neural Network. [PDF]
Wang X, Li Y, Chen F.
europepmc +1 more source
Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach. [PDF]
Tan L +6 more
europepmc +1 more source
HeteroEdge: Latency-Aware Adaptive Protocol Parsing with Digital Twin Intelligence for Heterogeneous 5G IoT Edge Networks. [PDF]
Huang X, Dao TK, Nguyen TT.
europepmc +1 more source
HPTMT Parallel Operators for High Performance Data Science and Data Engineering. [PDF]
Abeykoon V +7 more
europepmc +1 more source
Real-Time Stream Data Anonymization via Dynamic Reconfiguration with <i>l</i>-Diversity-Enhanced SUHDSA. [PDF]
Lee J, Kim S.
europepmc +1 more source
Federated learning and Data Lakehouse for healthcare analytics: a knowledge transfer initiative between Germany and Tunisia. [PDF]
Taieb MAH +14 more
europepmc +1 more source
Design of a data processing method for the farmland environmental monitoring based on improved Spark components. [PDF]
Tang R, Aridas NK, Talip MSA.
europepmc +1 more source
Software implementation and integration with Apache Flink
This deliverable includes the implementation of the 3 layers of the proposed technical solution. Data Collector, and Incremental Analytics Engine layers will be implemented within the core of Apache Flink technology.
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Efficient Data Stream Sampling on Apache Flink
Sampling is considered to be a core component of data analysis making it possibleto provide a synopsis of possibly large amounts of data by maintainingonly subsets or multisubsets of it. In the context of data streaming, an emergingprocessing paradigm where data is assumed to be unbounded, samplingoffers great potential since it can establish a ...
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