Who will benefit from big data? Farmers' perspective on willingness to share farm data

A Zhang, R Heath, K McRobert, R Llewellyn… - Journal of Rural …, 2021 - Elsevier
Agricultural industries are facing a dual challenge of increasing production to meet the
growing population with a disruptive changing climate and, at the same time, reducing its …

Digital twin improved via visual question answering for vision-language interactive mode in human–machine collaboration

T Wang, J Li, Z Kong, X Liu, H Snoussi, H Lv - Journal of Manufacturing …, 2021 - Elsevier
The human–machine collaboration system is a key means of manufacturing. Its surveillance,
prognostic, and health management are related to safety and manufacturing persistence …

Automated machine learning approaches for emergency response and coordination via social media in the aftermath of a disaster: A review

L Dwarakanath, A Kamsin, RA Rasheed… - Ieee …, 2021 - ieeexplore.ieee.org
Social media communication serves as an integral part of the crisis response following a
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …

Hybrid encryption framework for securing big data storage in multi-cloud environment

G Viswanath, PV Krishna - Evolutionary Intelligence, 2021 - Springer
In the present scenario, big data is facing many challenges regarding the data storage, data
theft and unauthorized access. Many researchers are concentrated on developing the …

Big data: Big data analysis, issues and challenges and technologies

R Rawat, R Yadav - IOP Conference Series: Materials Science …, 2021 - iopscience.iop.org
The data generated at an exponential rate has resulted in Big Data. This data has many
characteristics and consists of structured, unstructured, and semi-structured data formats. It …

Knowledge management for sustainable development in the era of continuously accelerating technological revolutions: A framework and models

M Russ - Sustainability, 2021 - mdpi.com
This conceptual, interdisciplinary paper will start by introducing the commencement of a new
era in which human society faces continuously accelerating technological revolutions …

Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions

AI Torre-Bastida, J Díaz-de-Arcaya, E Osaba… - Neural Computing and …, 2021 - Springer
This overview gravitates on research achievements that have recently emerged from the
confluence between Big Data technologies and bio-inspired computation. A manifold of …

Cost optimization for big data workloads based on dynamic scheduling and cluster-size tuning

M Grzegorowski, E Zdravevski, A Janusz, P Lameski… - Big Data Research, 2021 - Elsevier
Analytical data processing has become the cornerstone of today's businesses success, and
it is facilitated by Big Data platforms that offer virtually limitless scalability. However …

Exploring the paths to big data analytics implementation success in banking and financial service: an integrated approach

N Hajiheydari, MS Delgosha, Y Wang… - Industrial Management & …, 2021 - emerald.com
Purpose Big data analytics (BDA) is recognized as a recent breakthrough technology with
potential business impact, however, the roadmap for its successful implementation and the …

Big data and data analytics for an enhanced COVID-19 epidemic management

JB Awotunde, RG Jimoh, ID Oladipo… - Artificial Intelligence for …, 2021 - Springer
The transmission features of the COVID-19 epidemic have still not been properly recognized
in the sense of global environmental changes. Likewise, the pace of global development …