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 …
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
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 …
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 …
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 …
experience rate-effective resources at ease. However, it extends its underlying centralised …
Machine learning based workload prediction in cloud computing
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 …
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
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 …
profits. Social media analytics collect and analyze data from various social networks such as …
Smartly handling renewable energy instability in supporting a cloud datacenter
The size and energy consumption of datacenters have been increasing significantly over the
past years. As a result, datacenters' increasing electricity monetary cost, energy …
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 …
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
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 …
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
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 …
countries is rapidly increasing. As a result, early detection of breast cancer is critical, leading …