[HTML][HTML] Survey on exact kNN queries over high-dimensional data space

N Ukey, Z Yang, B Li, G Zhang, Y Hu, W Zhang - Sensors, 2023 - mdpi.com
k nearest neighbours (kNN) queries are fundamental in many applications, ranging from
data mining, recommendation system and Internet of Things, to Industry 4.0 framework …

[PDF][PDF] Supervised machine learning for RSSI based indoor localization in IoT applications

MWP Maduranga, R Abeysekara - International Journal of …, 2021 - researchgate.net
ABSTRACT The Internet of Things (IoT) technology has revolutionized every aspect of
everyday life by making everything smarter. IoT became more popular in recent years due to …

Design and implementation of a hybrid anomaly detection system for IoT

A Ayad, A Zamani, A Schmeink… - 2019 Sixth International …, 2019 - ieeexplore.ieee.org
In recent years, the dramatic increase in the number of devices has empowered the Internet
of Things (IoT). Unfortunately though, IoT networks are susceptible to cyberattacks, due to …

Node and block-based development tools for distributed systems with AI applications

M Hauck, R Machhamer, L Czenkusch… - IEEE …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) and Artificial Intelligence (AI) are one of the most promising and
disruptive areas of current research and development. However, these areas require deep …

Analysis of indoor localization algorithm for wifi using received signal strength

R Arthi, DS Rawat, A Pillai, Y Nair… - Advances in Power …, 2021 - Springer
With the broad establishment of WiFi passageways, the WiFi-based indoor localization
approach has become one of the most generally utilized area advances. The existing …

Online offline learning for sound-based indoor localization using low-cost hardware

R Machhamer, M Dziubany, L Czenkusch… - IEEE …, 2019 - ieeexplore.ieee.org
Online Learning algorithms and Indoor Positioning Systems are complex applications in the
environment of cyber-physical systems. These distributed systems are created by …

Artificial Intelligence and Machine Learning with IoT

SW Shende, JV Tembhurne, TK Jain - … in IoT and Machine Learning for …, 2023 - Springer
For decades, humans have been intrigued by the concept of an intelligent and independent
self-learning machine. The idea behind Machine Learning (ML) is to simplify the …

An Innovative Approach to Improve Point Location Detection System with ANFIS using RSSI Signals and Fingerprinting Method

E Yüksek, AG Yüksek - … Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 2024 - dergipark.org.tr
Localization systems have an important place in many areas. GPS (Global Positioning
Systems) using data from satellites gives successful results in localization systems …

Development of a cyber-physical system for an autonomous indoor transportation service

M Dziubany, L Creutz, S Kopp… - 2020 9th …, 2020 - ieeexplore.ieee.org
One of the key features of industry 4.0 is the automation and optimization of transportation
tasks. Especially autonomous guided vehicles meet the required high flexibility of future …

A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors

B Urschel, LB Fazlic, M Morgen… - 2022 Sensor Data …, 2022 - ieeexplore.ieee.org
Window ventilation is important in everyday life. The COVID-19 pandemic in particular has
shown that air exchange is necessary to minimize the spread of viruses. Efficient ventilation …