Big Data in Earth system science and progress towards a digital twin

X Li, M Feng, Y Ran, Y Su, F Liu, C Huang… - Nature Reviews Earth & …, 2023 - nature.com
The concept of a digital twin of Earth envisages the convergence of Big Earth Data with
physics-based models in an interactive computational framework that enables monitoring …

Computational health informatics in the big data age: a survey

R Fang, S Pouyanfar, Y Yang, SC Chen… - ACM Computing …, 2016 - dl.acm.org
The explosive growth and widespread accessibility of digital health data have led to a surge
of research activity in the healthcare and data sciences fields. The conventional approaches …

Digital twin: Values, challenges and enablers from a modeling perspective

A Rasheed, O San, T Kvamsdal - IEEE access, 2020 - ieeexplore.ieee.org
Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

Wafer‐scale 2D hafnium diselenide based memristor crossbar array for energy‐efficient neural network hardware

S Li, ME Pam, Y Li, L Chen, YC Chien… - Advanced …, 2022 - Wiley Online Library
Memristor crossbar with programmable conductance could overcome the energy
consumption and speed limitations of neural networks when executing core computing tasks …

[HTML][HTML] Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies

IO Pappas, P Mikalef, MN Giannakos, J Krogstie… - Information systems and …, 2018 - Springer
The digitalization process and its outcomes in the 21st century accelerate transformation
and the creation of sustainable societies. Our decisions, actions and even existence in the …

Big data analytics and innovation in e-commerce: current insights and future directions

AA Alsmadi, A Shuhaiber, M Al-Okaily… - Journal of Financial …, 2023 - Springer
Big data analytics (BDA), as a new innovation tool, played an important role in helping
businesses to survive and thrive during great crises and mega disruptions like COVID-19 by …

A survey of data partitioning and sampling methods to support big data analysis

MS Mahmud, JZ Huang, S Salloum… - Big Data Mining and …, 2020 - ieeexplore.ieee.org
Computer clusters with the shared-nothing architecture are the major computing platforms
for big data processing and analysis. In cluster computing, data partitioning and sampling …

[HTML][HTML] Big Data sources and methods for social and economic analyses

D Blazquez, J Domenech - Technological Forecasting and Social Change, 2018 - Elsevier
Abstract The Data Big Bang that the development of the ICTs has raised is providing us with
a stream of fresh and digitized data related to how people, companies and other …

Graphene memristive synapses for high precision neuromorphic computing

TF Schranghamer, A Oberoi, S Das - Nature communications, 2020 - nature.com
Memristive crossbar architectures are evolving as powerful in-memory computing engines
for artificial neural networks. However, the limited number of non-volatile conductance states …

Understanding the factors affecting the organizational adoption of big data

S Sun, CG Cegielski, L Jia, DJ Hall - Journal of computer …, 2018 - Taylor & Francis
Big data is rapidly becoming a major driver for firms seeking to gain a competitive
advantage. Grounded in the Diffusion of Innovation theory (DOI), the institutional theory, and …