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 …

Ai for it operations (aiops) on cloud platforms: Reviews, opportunities and challenges

Q Cheng, D Sahoo, A Saha, W Yang, C Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …

Organizational business intelligence and decision making using big data analytics

Y Niu, L Ying, J Yang, M Bao… - Information Processing & …, 2021 - Elsevier
Business intelligence helps gather essential information from a wide variety of unstructured
data and convert them into actionable information that allows firms to make informed policy …

[PDF][PDF] 5G based Blockchain network for authentic and ethical keyword search engine

M Poongodi, M Malviya, M Hamdi… - IET …, 2022 - Wiley Online Library
The evolution of 4G telecommunication propagated various resource-crunched clients to
experience rate-effective resources at ease. However, it extends its underlying centralised …

Machine learning based workload prediction in cloud computing

J Gao, H Wang, H Shen - 2020 29th international conference …, 2020 - ieeexplore.ieee.org
As a widely used IT service, more and more companies shift their services to cloud
datacenters. It is important for cloud service providers (CSPs) to provide cloud service …

Big data-assisted social media analytics for business model for business decision making system competitive analysis

H Zhang, Z Zang, H Zhu, MI Uddin, MA Amin - Information Processing & …, 2022 - Elsevier
Business is based on manufacturing, purchasing, selling a product, and earning or making
profits. Social media analytics collect and analyze data from various social networks such as …

Smartly handling renewable energy instability in supporting a cloud datacenter

J Gao, H Wang, H Shen - 2020 IEEE international parallel and …, 2020 - ieeexplore.ieee.org
The size and energy consumption of datacenters have been increasing significantly over the
past years. As a result, datacenters' increasing electricity monetary cost, energy …

Social media data analytics for business decision making system to competitive analysis

J Yang, P Xiu, L Sun, L Ying, B Muthu - Information Processing & …, 2022 - Elsevier
For the past few years, business intelligence has been a major field that uses data analysis
to produce key information as part of business decision-making. Data collected from social …

LungNet22: a fine-tuned model for multiclass classification and prediction of lung disease using X-ray images

FMJM Shamrat, S Azam, A Karim, R Islam… - Journal of Personalized …, 2022 - mdpi.com
In recent years, lung disease has increased manyfold, causing millions of casualties
annually. To combat the crisis, an efficient, reliable, and affordable lung disease diagnosis …

Dilated semantic segmentation for breast ultrasonic lesion detection using parallel feature fusion

R Irfan, AA Almazroi, HT Rauf, R Damaševičius… - Diagnostics, 2021 - mdpi.com
Breast cancer is becoming more dangerous by the day. The death rate in developing
countries is rapidly increasing. As a result, early detection of breast cancer is critical, leading …