A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective
A Shakarami, M Ghobaei-Arani, A Shahidinejad - Computer Networks, 2020 - Elsevier
With the rapid developments in emerging mobile technologies, utilizing resource-hungry
mobile applications such as media processing, online Gaming, Augmented Reality (AR) …
mobile applications such as media processing, online Gaming, Augmented Reality (AR) …
[HTML][HTML] A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data
The use of machine learning techniques in medicine has increased in recent years due to a
rise in publicly available datasets. These techniques have been applied in high blood …
rise in publicly available datasets. These techniques have been applied in high blood …
Review of artificial intelligence applications in engineering design perspective
Having passed the primitive phases and starting to revolutionize many different fields in
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …
Suicidal behaviour prediction models using machine learning techniques: A systematic review
Background Early detection and prediction of suicidal behaviour are key factors in suicide
control. In conjunction with recent advances in the field of artificial intelligence, there is …
control. In conjunction with recent advances in the field of artificial intelligence, there is …
[HTML][HTML] Unsupervised machine learning detection of iceberg populations within sea ice from dual-polarisation SAR imagery
Accurate quantification of iceberg populations is essential to inform estimates of Southern
Ocean freshwater and heat balances as well as shipping hazards. The automated …
Ocean freshwater and heat balances as well as shipping hazards. The automated …
Effort and Cost Estimation Using Decision Tree Techniques and Story Points in Agile Software Development
E Rodríguez Sánchez, EF Vázquez Santacruz… - Mathematics, 2023 - mdpi.com
Early effort estimation is important for efficiently planning the use of resources in an
Information Technology (IT) project. However, limited research has been conducted on the …
Information Technology (IT) project. However, limited research has been conducted on the …
The role of machine learning in advancing precision medicine with feedback control
The capacity of machine-learning methods to handle large and complex datasets makes
them suitable for applications in precision medicine. Current methods automate data …
them suitable for applications in precision medicine. Current methods automate data …
Rapid and accurate classification of Aspergillus ochraceous contamination in Robusta green coffee bean through near-infrared spectral analysis using machine …
Abstract Near-infrared (NIR) spectral-based classification of Aspergillus ochraceous
contamination in the Robusta green coffee bean was investigated. Six different learning …
contamination in the Robusta green coffee bean was investigated. Six different learning …
A multi-class classification model for supporting the diagnosis of type II diabetes mellitus
KM Kuo, P Talley, YH Kao, CH Huang - PeerJ, 2020 - peerj.com
Background Numerous studies have utilized machine-learning techniques to predict the
early onset of type 2 diabetes mellitus. However, fewer studies have been conducted to …
early onset of type 2 diabetes mellitus. However, fewer studies have been conducted to …
A framework for pre-processing of social media feeds based on integrated local knowledge base
Most of the previous studies on the semantic analysis of social media feeds have not
considered the issue of ambiguity that is associated with slangs, abbreviations, and …
considered the issue of ambiguity that is associated with slangs, abbreviations, and …