A survey on optimal indoor objects localization in Internt of things based on deep learning
الباحث الأول:
hussein alaasam
الباحثين الآخرين:
Mehdi Hamidkhani
المجلة:
جامعة الكفيل
تاريخ النشر:
22 ديسمبر، 2023
مختصر البحث:
Internet of Things (IoT) has connected millions of devices. IoT has enabled the use of smart services in all parts of daily life. Determining the position of objects in their internal environments is a challenge. Locating indoor environments is one …
Internet of Things (IoT) has connected millions of devices. IoT has enabled the use of smart services in all parts of daily life. Determining the position of objects in their internal environments is a challenge. Locating indoor environments is one of the concerns in using IoT. Several methods have been provided for locating in indoor environments. Methods based on deep learning are among the successful methods in determining the location of objects on the internet in indoor locations. The methods based on deep learning with advantages such as the ability to generalize and make decisions and high accuracy in determining the location of the object are desired. The main goal of this paper is to introduce deep learning methods in determining the internal location of objects.
