Big Data Meet Green Challenges: Big Data Toward Green Applications

By Jinsong Wu, Song Guo, Jie Li, Deze Zeng. IEEE Systems Journal, 2016

339 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/9921cd9e5abf49659f72a1b95cf61368b4243332

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Lynn H. Kaack
2. Yoshua Bengio
3. Felix Creutzig
4. Yi Yang

In Global and Planetary Change

1. Yoshua Bengio
2. Felix Creutzig
3. Carl John Scarrott

In Management Information Systems

1. Song Guo
2. Yoshua Bengio
3. Dinh Thai Hoang
4. Valerio Persico
5. Antonio Pescapè
6. Priya Lekha Donti

Citations in the corpus

• Information and Communications Technologies for Sustainable Development Goals: State-of-the-Art, Needs and Perspectives (2018, background): “ the development of environmental sustainability, we need the support of the emerging powerful technological tools, such as edge computing [168], fog computing [169], and big data technologies [170], [171]. To this end, we present an ICT based orchestration architecture, which is shown in Fig. 5, fo”
• Tackling Climate Change with Machine Learning (2019, background): “ensemble learning [345]. Low-emissions infrastructure When smart city projects are properly integrated into urban planning, they can make cities more sustainable and foster low-carbon lifestyles (see [340, 346, 347] for extensive reviews on this topic). Different types of infrastructure interact, me”
• A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, background): “In fact, enterprises are forced to exploit green initiatives to deal with high energy consumption related to big data generation, collection, as well as transmission, storage which may also lead to energy and resource inefficiencies [125], [126].”
• Deep Learning in Mobile and Wireless Networking: A Survey (2018, background): “[53] Big data toward green cellular networks D D D”
• A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks (2018, background): “fields [221], [222], the question arises regarding whether it is also possible to provide on- or off-blockchain support for secure Multi-Party Computation (MPC).”