An Innovative Data Mining Approach for Determine Earthquake Probability Based on Linear Regression Algorithm

Khan, Thaharim; Rabbani, Masud; Siddiquee, Shah Md. Tanvir; Majumder, Anup

doi:10.1109/icecct.2019.8869286

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Popular search engines like Youtube, Google, and social media sites, such as Instagram, Twitter, and Facebook own their specific learning tools [5]- [7]. Weather forecasting, earthquake predictions, rain expectations have also been explored in the metrology field [8]- [13]. Internet of things (IoT) is another widely used technology around the globe.…”

Section: Introductionmentioning

confidence: 99%

Distant temperature and humidity monitoring: prediction and measurement

Hafeez

Sheikh

Khidrani

et al. 2021

IJEECS

View full text Add to dashboard Cite

Sensing environmental measuring parameters has a pivotal role in our everyday lives. Most of our daily life activities depend upon environmental conditions. Accurate information about these parameters also helps in several industrial applications like ventilation rate calculation, energy prediction, stock maintenance in warehouses, and saving from harmful conditions. The emergence of machine learning can make it easy to predict such time series problems. This paper describes the design of a remotely controlled robotic car for measuring and predicting humidity and temperature. A customized app for accessing the robotic car is designed to indicate predicted and realtime measured values of humidity and temperature. A sensor installed builtin helps in the measurement. The recurrent neural network (RNN) model is used to predict humidity and temperature. For this purpose, experiments are carried out in both outdoor and indoor settings. Accuracy of 85% and 90% is achieved in an outdoor environment and indoor settings.

show abstract