Uncovering the Potential of Indoor Localization: Role of Deep and Transfer Learning
Oussama Kerdjidj,
Yassine Himeur,
Shahab Saquib Sohail
et al.
Abstract:Indoor localization (IL) is a significant topic of study with several practical applications, particularly in the context of the Internet of Things (IoT) and smart cities. The area of IL has evolved greatly in recent years due to the introduction of numerous technologies such as WiFi, Bluetooth, cameras, and other sensors. Despite the growing interest in this field, there are numerous challenges and drawbacks that must be addressed to develop more accurate and sustainable systems for IL. This review study give… Show more
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