scholarly journals Soil Moisture Investigation Utilizing Machine Learning Approach Based Experimental Data and Landsat5-TM Images: A Case Study in the Mega City Beijing

Water ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 423 ◽  
Author(s):  
Yue Qu ◽  
Xu Qian ◽  
Hongqing Song ◽  
Yi Xing ◽  
Zhengyi Li ◽  
...  
Keyword(s):  
Machine Learning ◽  
Experimental Data ◽  
Soil Moisture ◽  
Learning Approach ◽  
Machine Learning Approach

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 Machine learning approach to locate desert locust breeding areas based on ESA CCI soil moisture

2018 ◽  
Vol 12 (03) ◽  
pp. 1 ◽  
Author(s):  
Diego Gómez ◽  
Pablo Salvador ◽  
Julia Sanz ◽  
Carlos Casanova ◽  
Daniel Taratiel ◽  
...  
Keyword(s):  
Machine Learning ◽  
Soil Moisture ◽  
Learning Approach ◽  
Desert Locust ◽  
Machine Learning Approach

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
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