Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers

L Wratten, A Wilm, J Göke - Nature methods, 2021 - nature.com
The rapid growth of high-throughput technologies has transformed biomedical research.
With the increasing amount and complexity of data, scalability and reproducibility have …

Futuristic biosensors for cardiac health care: an artificial intelligence approach

R Vashistha, AK Dangi, A Kumar, D Chhabra, P Shukla - 3 Biotech, 2018 - Springer
Biosensor-based devices are pioneering in the modern biomedical applications and will be
the future of cardiac health care. The coupling of artificial intelligence (AI) for cardiac …

Learning political polarization on social media using neural networks

L Belcastro, R Cantini, F Marozzo, D Talia… - IEEE …, 2020 - ieeexplore.ieee.org
Social media analysis is a fast growing research area aimed at extracting useful information
from social media platforms. This paper presents a methodology, called IOM-NN (Iterative …

Programming big data analysis: principles and solutions

L Belcastro, R Cantini, F Marozzo, A Orsino, D Talia… - Journal of Big Data, 2022 - Springer
In the age of the Internet of Things and social media platforms, huge amounts of digital data
are generated by and collected from many sources, including sensors, mobile devices …

Review of social media analytics process and big data pipeline

H Sebei, MA Hadj Taieb, M Ben Aouicha - Social Network Analysis and …, 2018 - Springer
Social media analytics is a research axis focused on extracting useful insights from social
media data, with the aim of helping individuals and organizations take the most optimum …

Analyzing political polarization on social media by deleting bot spamming

R Cantini, F Marozzo, D Talia, P Trunfio - Big data and cognitive …, 2022 - mdpi.com
Social media platforms are part of everyday life, allowing the interconnection of people
around the world in large discussion groups relating to every topic, including important …

Big Data Analytics, Processing Models, Taxonomy of Tools, V's, and Challenges: State‐of‐Art Review and Future Implications

S Dasari, R Kaluri - Wireless Communications and Mobile …, 2023 - Wiley Online Library
In the current digital era, data is budding tremendously from various sources like banks,
businesses, education, entertainment, etc. Due to its significant consequence, it became a …

Ticket sales prediction and dynamic pricing strategies in public transport

F Branda, F Marozzo, D Talia - Big data and cognitive computing, 2020 - mdpi.com
In recent years, the demand for collective mobility services registered significant growth. In
particular, the long-distance coach market underwent an important change in Europe, since …

A New Big Data Processing Framework for the Online Roadshow

KR Leow, MC Leow, LY Ong - Big Data and Cognitive Computing, 2023 - mdpi.com
The Online Roadshow, a new type of web application, is a digital marketing approach that
aims to maximize contactless business engagement. It leverages web computing to conduct …

A utilization model for optimization of checkpoint intervals in distributed stream processing systems

S Jayasekara, A Harwood, S Karunasekera - Future Generation Computer …, 2020 - Elsevier
State-of-the-art distributed stream processing systems such as Apache Flink and Storm have
recently included checkpointing to provide fault-tolerance for stateful applications. This is a …