Advanced learning technologies for intelligent transportation systems: Prospects and challenges

RA Khalil, Z Safelnasr, N Yemane… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic
environment characterized by complex spatial and temporal dynamics at various scales …

Big data application for urban transport solutions

J Růžička, T Tichý, E Hajčiarová - 2022 Smart City Symposium …, 2022 - ieeexplore.ieee.org
With the development of intelligent transport systems in cities, the efficient use of big data is
becoming increasingly important. The aim of this paper is to focus on specific sources of Big …

[PDF][PDF] A Systematic Review of Automated Classification for Simple and Complex Query SQL on NoSQL Database.

RA Kadir, ESM Surin, MR Sarker - Computer Systems Science & …, 2024 - researchgate.net
ABSTRACT A data lake (DL), abbreviated as DL, denotes a vast reservoir or repository of
data. It accumulates substantial volumes of data and employs advanced analytics to …

[PDF][PDF] Real-time passenger social distance monitoring with video analytics using deep learning in railway station

IA Dahlan, MBG Putra, SH Supangkat… - Indones. J. Electr. Eng …, 2022 - academia.edu
Recently, at the end of December, the world faced a severe problem which is a pandemic
that is caused by coronavirus disease. It also must be considered by the railway station's …

Viana safe: Smart safe and secure platform based on CCTV analytics in pandemic covid-19 situation use case railway station

IA Dahlan, F Hidayat, SH Supangkat… - 2021 International …, 2021 - ieeexplore.ieee.org
Nowadays, the railway industry has a public transport in a key position where it must be able
to face the challenge of ensuring the safety and quality of service regarding health's safety in …

IoT to Structured Data (IoT2SD): A Big Data Information Extraction Framework

R Farrell, X Yuan, K Roy - … 1st International Conference on AI in …, 2022 - ieeexplore.ieee.org
Devices characterized as Internet of Things (IoT) have proven to be very useful in a myriad
of business sectors. The current success in being able to have multiple small-footprint …

SwiftFrame: Developing Low-latency Near Real-time Response Framework

S Saipranith, AK Singh, N Agrawal… - 2024 15th …, 2024 - ieeexplore.ieee.org
In today's era, handling of big data poses significant challenges due to its massive volume
and diverse formats. A rapid processing of such diverse data formats, spanning vast …

Unstructured big data information extraction techniques survey: Privacy preservation perspective

PS Jadhav, SS Bodhe, GM Borkar… - 2021 International …, 2021 - ieeexplore.ieee.org
Big data analytics has given us the ability to analyze massive amounts of data, but it has
also put privacy at a risk. Personal information may be present in data processed by big data …

Cassandra vs. MongoDB: A Systematic Review of Two NoSQL Data Stores in Their Industry Uses

H Tu - 2024 IEEE 7th International Conference on Big Data …, 2024 - ieeexplore.ieee.org
This paper analyzes two NoSQL data stores: the column-family data store with Cassandra
as an example and the document-oriented data store using MongoDB as another example …

Sentiment analysis of computer-based national examination policy with data mining approach

ID Iskandar, AB Hikmah, D Supriadi… - AIP Conference …, 2023 - pubs.aip.org
The Coronavirus pandemic has resulted in the elimination of the implementation of the
Computer-Based National Examination throughout Indonesia, from this case it has …