[HTML][HTML] State of data platforms for connected vehicles and infrastructures
The continuing expansion of connected and electro-mobility products and services has led
to their ability to rapidly generate very large amounts of data, leading to a demand for …
to their ability to rapidly generate very large amounts of data, leading to a demand for …
A traffic data clustering framework based on fog computing for VANETs
Abstract Vehicular Ad-hoc Networks (VANETs) are based on vehicle to infrastructure
communications in which the vehicles periodically broadcast information to update a Road …
communications in which the vehicles periodically broadcast information to update a Road …
Songdriver: Real-time music accompaniment generation without logical latency nor exposure bias
Real-time music accompaniment generation has a wide range of applications in the music
industry, such as music education and live performances. However, automatic real-time …
industry, such as music education and live performances. However, automatic real-time …
Ananke: a streaming framework for live forward provenance
Data streaming enables online monitoring of large and continuous event streams in Cyber-
Physical Systems (CPSs). In such scenarios, fine-grained backward provenance tools can …
Physical Systems (CPSs). In such scenarios, fine-grained backward provenance tools can …
A new pattern representation method for time-series data
The rapid growth of Internet of Things (IoT) and sensing technologies has led to an
increasing interest in time-series data analysis. In many domains, detecting patterns of IoT …
increasing interest in time-series data analysis. In many domains, detecting patterns of IoT …
The role of event-time order in data streaming analysis
The data streaming paradigm was introduced around the year 2000 to overcome the
limitations of traditional store-then-process paradigms found in relational databases (DBs) …
limitations of traditional store-then-process paradigms found in relational databases (DBs) …
[HTML][HTML] Survey: time-series data preprocessing: a survey and an empirical analysis
Data are naturally collected in their raw state and must undergo a series of preprocessing
steps to obtain data in their input state for Artificial Intelligence (AI) and other applications …
steps to obtain data in their input state for Artificial Intelligence (AI) and other applications …
Building a government-owned open data platform for connected and autonomous vehicles
The growing recognition of the societal implications stemming from technological
advancements highlights the need for innovative governance approaches, particularly in …
advancements highlights the need for innovative governance approaches, particularly in …
DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks
The growing interest in data analysis applications for Cyber–Physical Systems stems from
the large amounts of data such large distributed systems sense in a continuous fashion. A …
the large amounts of data such large distributed systems sense in a continuous fashion. A …
Mad-c: Multi-stage approximate distributed cluster-combining for obstacle detection and localization
The upcoming digitalization in the context of Cyber–physical Systems (CPS), enabled
through Internet-of-Things (IoT) infrastructures, require efficient methods for distributed …
through Internet-of-Things (IoT) infrastructures, require efficient methods for distributed …