A systematic review of big data in energy analytics using energy computing techniques

2021 ◽  
Author(s):  
J. Dhanalakshmi ◽  
N. Ayyanathan
Keyword(s):  
Systematic Review ◽  
Big Data ◽  
Energy Analytics

Managing supply chain resources with Big Data Analytics: a systematic review

2017 ◽  
Vol 21 (3) ◽  
pp. 177-200 ◽  
Author(s):  
Marcelo Werneck Barbosa ◽  
Alberto de la Calle Vicente ◽  
Marcelo Bronzo Ladeira ◽  
Marcos Paulo Valadares de Oliveira
Keyword(s):  
Systematic Review ◽  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
Big Data Analytics

Disrupting Agriculture

2021 ◽  
pp. 771-812
Author(s):  
Omar F. El-Gayar ◽  
Martinson Q. Ofori
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Big Data ◽  
New Paradigm ◽  
Agricultural Industry ◽  
Decision Systems ◽  
Food And Agriculture ◽  
Key Stakeholders ◽  
Smart Agriculture ◽  
Key Aspects

The United Nations (UN) Food and Agriculture (FAO) estimates that farmers will need to produce about 70% more food by 2050. To accommodate the growing demand, the agricultural industry has grown from labor-intensive to smart agriculture, or Agriculture 4.0, which includes farm equipment that are enhanced using autonomous unmanned decision systems (robotics), big data, and artificial intelligence. In this chapter, the authors conduct a systematic review focusing on big data and artificial intelligence in agriculture. To further guide the literature review process and organize the findings, they devise a framework based on extant literature. The framework is aimed to capture key aspects of agricultural processes, supporting supply chain, key stakeholders with a particular emphasis on the potential, drivers, and challenges of big data and artificial intelligence. They discuss how this new paradigm may be shaped differently depending on context, namely developed and developing countries.

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

2020 ◽  
Vol 164 ◽  
pp. 152-170 ◽  
Author(s):  
Haifa Tamiminia ◽  
Bahram Salehi ◽  
Masoud Mahdianpari ◽  
Lindi Quackenbush ◽  
Sarina Adeli ◽  
...  
Keyword(s):  
Systematic Review ◽  
Big Data ◽  
Meta Analysis ◽  
Google Earth ◽  
Big Data Applications ◽  
Google Earth Engine

scholarly journals Big data and IoT-based applications in smart environments: A systematic review

2021 ◽  
Vol 39 ◽  
pp. 100318 ◽  
Author(s):  
Yosra Hajjaji ◽  
Wadii Boulila ◽  
Imed Riadh Farah ◽  
Imed Romdhani ◽  
Amir Hussain
Keyword(s):  
Systematic Review ◽  
Big Data ◽  
Smart Environments

scholarly journals THEORIES AND ANTECEDENTS OF KNOWLEDGE SHARING BEHAVIOUR IN VIRTUAL COMMUNITY: A SYSTEMATIC REVIEW

2020 ◽  
Vol 11 (10) ◽  
pp. 32-51
Keyword(s):  
Systematic Review ◽  
Big Data ◽  
Web 2.0 ◽  
Knowledge Sharing ◽  
Industry 4.0 ◽  
Virtual Community ◽  
The Internet ◽  
Knowledge Based ◽  
Comprehensive Study

Virtual Community (VC) is regarded as the best platform for professionals in various fields to share their expertise and knowledge. Since the escalation of web 2.0 and the internet within the last decade and the booming interest in big data and expansion of industry 4.0, VC is deemed as an ideal proxy for practitioners to share and earned instant knowledge that can be implemented within business activities and day to day application. Despite this emerging interest, there has been no comprehensive study on the overall antecedents of KS in VC. Applying for a systematic review, a total of 68 relevant articles that discusses knowledge sharing (KS) via VC are evaluated. Several central themes of theories applied in this field within the literature are discussed on its importance and relevance. Important antecedents are also reviewed on its practicality and implementation in understanding the role of KS in VC. The implication of this review would benefit stakeholders in maintaining the sustainability of VC as the platform for a knowledge-based society.

scholarly journals A review on performance analysis of data mining methods in IoT

2020 ◽  
Vol 7 (73) ◽  
pp. 193-200
Author(s):  
Ashutosh Kumar Dubey ◽  
Dimple Kapoor ◽  
Vijaita Kashyap
Keyword(s):  
Systematic Review ◽  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Performance Analysis ◽  
System Component ◽  
Different Types ◽  
Communication Capability ◽  
Mining Methods ◽  
And Performance

IoT is capable and helpful in interdisciplinary areas along with the convergence of multiple technologies and platforms. This study adheres the adaptation of data mining technologies along with big data and cloud computing with the IoT system with detailed discussion. This paper supports and provide systematic review and analysis based on the computational parameters and performance analysis. The analysis and discussion are based on the communication capability, system component communication, aspects of data mining, big data and cloud computing in IoT. Different types of transmission and communication barriers have also been discussed and analyze. Finally, based on the study and analysis a framework has been suggested for the smooth functioning of the IoT protocols.

Sign in / Sign up

Export Citation Format

Share Document