A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam)

2018 ◽  
Vol 35 (3) ◽  
pp. 955-965 ◽  
Author(s):  
Dieu Tien Bui ◽  
Nhat-Duc Hoang ◽  
Viet-Ha Nhu
Keyword(s):  
Machine Learning ◽  
Shear Strength ◽  
Swarm Intelligence ◽  
Road Construction ◽  
Learning Approach ◽  
Machine Learning Approach ◽  
Soil Shear Strength

A Machine Learning Approach to Risk Factors: A Case Study Using the Fama–French–Carhart Model

2019 ◽  
Vol 1 (1) ◽  
pp. 32-44
Author(s):  
Joseph Simonian ◽  
Chenwei Wu ◽  
Daniel Itano ◽  
Vyshaal Narayanam
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Learning Approach ◽  
Machine Learning Approach

scholarly journals Framework for propagating stress control message using heartbeat based IoT remote monitoring analytics

2020 ◽  
Vol 10 (5) ◽  
pp. 4615
Author(s):  
Eisha Akanksha
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Cost Effective ◽  
Learning Approach ◽  
Contextual Data ◽  
Aggregated Data ◽  
Machine Learning Approach ◽  
Close Relationship ◽  
Control Message

Abnormal level of stress is the root indicator factor to have significant impact over the health of heart and there is a close relationship between the stress levels with heart rate. Review of the existing literature showcase that there has been various work that has been carried out towards investigation of considering heart rate with an internet-of-things (IoT) system. Apart from this, existing system doesnt offer any instantaneous solution where certain intimation is offered in real-time to the user with wearables as a solution to control the stress condition. Therefore, the current paper introduces a novel framework where the sampled heart rates of the patients are captured by IoT deivices. The aggregated data are further forwarded to the cloud analytic system that uses correlation to extract the appropriate message. The system after being applied with teh machine learning approach could further extract the elite outcome followed by forwarding the contextual data to teh user. Using an analytical modelliig, the proposed system shows that it offers better accuracy and reduced processing time when compared with other machine learning approach and thereby it proves to be cost effective solution in IoT system over medical case study.

scholarly journals A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 52713-52725 ◽  
Author(s):  
Annalisa Appice ◽  
Yulia R. Gel ◽  
Iliyan Iliev ◽  
Vyacheslav Lyubchich ◽  
Donato Malerba
Keyword(s):  
Machine Learning ◽  
Learning Approach ◽  
Multi Stage ◽  
Machine Learning Approach

A Machine Learning Approach to Estimate the Habitation on the Lakefront: A Case Study

2021 ◽  
Author(s):  
Harsha Halesh Patel ◽  
Hindu Shree C T ◽  
Jayanth S ◽  
Keerti D Kulkarni ◽  
Pushpa Mala S
Keyword(s):  
Machine Learning ◽  
Learning Approach ◽  
Machine Learning Approach
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