Review of big data analytics, artificial intelligence and nature-inspired computing models towards accurate detection of COVID-19 pandemic cases and contact tracing

IE Agbehadji, BO Awuzie, AB Ngowi… - International journal of …, 2020 - mdpi.com
The emergence of the 2019 novel coronavirus (COVID-19) which was declared a pandemic
has spread to 210 countries worldwide. It has had a significant impact on health systems …

Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review

W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Directional correlation coefficient measures for Pythagorean fuzzy sets: their applications to medical diagnosis and cluster analysis

M Lin, C Huang, R Chen, H Fujita, X Wang - Complex & Intelligent Systems, 2021 - Springer
Compared to the intuitionistic fuzzy sets, the Pythagorean fuzzy sets (PFSs) can provide the
decision makers with more freedom to express their evaluation information. There exist …

Big data and business analytics: Trends, platforms, success factors and applications

IA Ajah, HF Nweke - Big data and cognitive computing, 2019 - mdpi.com
Big data and business analytics are trends that are positively impacting the business world.
Past researches show that data generated in the modern world is huge and growing …

Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions

AC Ikegwu, HF Nweke, CV Anikwe, UR Alo… - Cluster …, 2022 - Springer
The study of big data analytics (BDA) methods for the data-driven industries is gaining
research attention and implementation in today's industrial activities, business intelligence …

Three and a half decades of artificial intelligence in banking, financial services, and insurance: A systematic evolutionary review

H Herrmann, B Masawi - Strategic Change, 2022 - Wiley Online Library
The banking, financial services, and insurance (BFSI) sector is one of the earliest and most
prominent adopters of artificial intelligence (AI). However, academic research substantially …

[HTML][HTML] Towards defining industry 5.0 vision with intelligent and softwarized wireless network architectures and services: A survey

S Zeb, A Mahmood, SA Khowaja, K Dev… - Journal of Network and …, 2024 - Elsevier
Abstract Industry 5.0 vision, a step toward the next industrial revolution and enhancement to
Industry 4.0, conceives the new goals of resilient, sustainable, and human-centric …

Internet of Things (IoT) in smart tourism: a literature review

CN Novera, Z Ahmed, R Kushol, P Wanke… - Spanish Journal of …, 2022 - emerald.com
Purpose Although there has been a significant amount of research on Smart Tourism, the
articles have not yet been combined into a thorough literature review that can examine …

A brief survey on big data: technologies, terminologies and data-intensive applications

HB Abdalla - Journal of Big Data, 2022 - Springer
The technical advancements and the availability of massive amounts of data on the Internet
draw huge attention from researchers in the areas of decision-making, data sciences …

Hybrid meta-heuristic algorithms for a supply chain network considering different carbon emission regulations using big data characteristics

F Goodarzian, V Kumar, A Abraham - Soft Computing, 2021 - Springer
Big data (BD) approach has significantly impacted on the development and expansion of
supply chain network management and design. The available problems in the supply chain …