OccupancySense: Context-based indoor occupancy detection & prediction using CatBoost model-Reference-Cited by-同舟云学术

OccupancySense: Context-based indoor occupancy detection & prediction using CatBoost model

Published:2022-04 Issue: Volume:119 Page:108536
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Dutta Joy^ORCID,Roy Sarbani^ORCID

Publisher

Elsevier BV

Subject

Software

Reference24 articles.

1. Indoor air pollution in India: Implications on health and its control;Kankaria;Indian J. Commun. Med. Off. Publ. Indian Assoc. Prevent. Soc. Med.,2014

2. IndoorSense: context based indoor pollutant prediction using SARIMAX model;Dutta;Multimedia Tools Appl.,2021

3. Indoor air pollutant prediction using time series forecasting models;Dutta,2021

4. Occupancy detection via environmental sensing;Jin;IEEE Trans. Autom. Sci. Eng.,2018

5. Estimating occupancy in heterogeneous sensor environment;Amayri;Energy Build.,2016

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