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IoT-ASE-Demo
Agentic Search Engine For Internet of Things
world-wide-web-for-IoT
WaitTime-CoffeeStores-Toronto
This dataset gives information about the wait time in Tim Hortons stores in downtown Toronto during working hours. It contains 72 records for Tim Hortons stores in down two Toronto areas. The data is scraped from google maps using the selenium python package. The dataset size is 72 X 10. The raws' names are as follows: GoogleMaps Entity unique ID Store Name address Sunday Monday Tuesday Wednesday Thursday Friday Saturday The type stored in weekday columns is a JSON object. Its keys are hours in 12-hour clock formats, and its values are the scraped popular times values from google maps.
Doc
demo
Academic-project-page-template
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
SensorsConnect.github.io
Google-Maps-Popular-Times
SensorsConnect's Repositories
SensorsConnect/SensorsConnect.github.io
SensorsConnect/IoT-ASE-Demo
Agentic Search Engine For Internet of Things
SensorsConnect/world-wide-web-for-IoT
SensorsConnect/demo
SensorsConnect/Academic-project-page-template
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
SensorsConnect/Doc
SensorsConnect/Google-Maps-Popular-Times
SensorsConnect/WaitTime-CoffeeStores-Toronto
This dataset gives information about the wait time in Tim Hortons stores in downtown Toronto during working hours. It contains 72 records for Tim Hortons stores in down two Toronto areas. The data is scraped from google maps using the selenium python package. The dataset size is 72 X 10. The raws' names are as follows: GoogleMaps Entity unique ID Store Name address Sunday Monday Tuesday Wednesday Thursday Friday Saturday The type stored in weekday columns is a JSON object. Its keys are hours in 12-hour clock formats, and its values are the scraped popular times values from google maps.