Indoor intelligent fingerprint-based localization: Principles, approaches and challenges
With the rapid development of Internet of Things (IoT) technology, location-based services
have been widely applied in the construction of smart cities. Satellite-based location …
have been widely applied in the construction of smart cities. Satellite-based location …
Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation
Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute
an extensively-researched machine learning sub-field for the creation of synthetic data …
an extensively-researched machine learning sub-field for the creation of synthetic data …
Improved symmetric and nonnegative matrix factorization models for undirected, sparse and large-scaled networks: A triple factorization-based approach
Undirected, sparse and large-scaled networks existing ubiquitously in practical engineering
are vitally important since they usually contain rich information in various patterns. Matrix …
are vitally important since they usually contain rich information in various patterns. Matrix …
Home automation using IoT and a chatbot using natural language processing
Home automation-controlling the fans, lights and other electrical appliances in a house
using Internet of things is widely preferred in recent days. In this paper, we propose a web …
using Internet of things is widely preferred in recent days. In this paper, we propose a web …
Multisource selective transfer framework in multiobjective optimization problems
J Zhang, W Zhou, X Chen, W Yao… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
For complex system design [eg, satellite layout optimization design (SLOD)] in practical
engineering, when launching a new optimization instance with another parameter …
engineering, when launching a new optimization instance with another parameter …
Using synthetic data to enhance the accuracy of fingerprint-based localization: A deep learning approach
Human-centered data collection is typically costly and implicates issues of privacy. Various
solutions have been proposed in the literature to reduce this cost, such as crowd-sourced …
solutions have been proposed in the literature to reduce this cost, such as crowd-sourced …
Passive infrared sensor dataset and deep learning models for device-free indoor localization and tracking
Location estimation or localization is one of the key components in IoT applications such as
remote health monitoring and smart homes. Amongst device-free localization technologies …
remote health monitoring and smart homes. Amongst device-free localization technologies …
New trends in indoor positioning based on WiFi and machine learning: A systematic review
V Bellavista-Parent, J Torres-Sospedra… - 2021 International …, 2021 - ieeexplore.ieee.org
Currently there is no standard indoor positioning system, similar to outdoor GPS. However,
WiFi signals have been used in a large number of proposals to achieve the above …
WiFi signals have been used in a large number of proposals to achieve the above …
Chefs' random tables: Non-trigonometric random features
V Likhosherstov, KM Choromanski… - Advances in …, 2022 - proceedings.neurips.cc
We introduce chefs' random tables (CRTs), a new class of non-trigonometric random
features (RFs) to approximate Gaussian and softmax kernels. CRTs are an alternative to …
features (RFs) to approximate Gaussian and softmax kernels. CRTs are an alternative to …
Comprehensive analysis of applied machine learning in indoor positioning based on wi-fi: An extended systematic review
V Bellavista-Parent, J Torres-Sospedra… - Sensors, 2022 - mdpi.com
Nowadays, there are a multitude of solutions for indoor positioning, as opposed to standards
for outdoor positioning such as GPS. Among the different existing studies on indoor …
for outdoor positioning such as GPS. Among the different existing studies on indoor …