Machine learning based indoor localization using Wi-Fi RSSI fingerprints: An overview

N Singh, S Choe, R Punmiya - IEEE access, 2021 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

A survey of recent indoor localization scenarios and methodologies

T Yang, A Cabani, H Chafouk - Sensors, 2021 - mdpi.com
Recently, various novel scenarios have been studied for indoor localization. The trilateration
is known as a classic theoretical model of geometric-based indoor localization, with uniform …

Indoor intelligent fingerprint-based localization: Principles, approaches and challenges

X Zhu, W Qu, T Qiu, L Zhao… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
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 …

A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms

RV Mendonca, JC Silva, RL Rosa, M Saadi… - Expert …, 2022 - Wiley Online Library
With the substantial industrial growth, the industrial internet of things (IIoT) and many IoT
avenues have emerged. However, the existing industrial architectures are still inefficient to …

Artificial intelligence in visible light positioning for indoor IoT: A methodological review

VP Rekkas, LA Iliadis, SP Sotiroudis… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Indoor communication and positioning are significant fields of applications for indoor Internet
of Things (IoT) given the rapid growth of IoT in smart cities, smart grids, and smart industries …

Improving the prediction of mechanical properties of aluminium alloy using data-driven class-based regression

N Bhat, AS Barnard, N Birbilis - Computational Materials Science, 2023 - Elsevier
The widespread use of aluminium alloys in the aerospace, transport and marine industries is
attributed to their desirable physical properties. The relationship between the alloy …

A new integrated approach for risk evaluation and classification with dynamic expert weights

HC Liu, XQ Chen, JX You, Z Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Failure mode and effect analysis (FMEA), as a proactive reliability management technique,
has been widely employed to reduce the risk of systems and assure the quality of products …

An analysis of image features extracted by CNNs to design classification models for COVID-19 and non-COVID-19

AAM Teodoro, DH Silva, M Saadi, OD Okey… - Journal of signal …, 2023 - Springer
The SARS-CoV-2 virus causes a respiratory disease in humans, known as COVID-19. The
confirmatory diagnostic of this disease occurs through the real-time reverse transcription and …

Multilabel classification of remote sensed satellite imagery

A Kumar, K Abhishek, A Kumar Singh… - Transactions on …, 2021 - Wiley Online Library
Multilabel scene classification has emerged as a critical research area in the domain of
remote sensing. Contemporary classification models primarily emphasis on a single object …

High accuracy indoor visible light positioning using a long short term memory-fully connected network based algorithm

H Chen, W Han, J Wang, H Lu, D Chen, J **… - Optics …, 2021 - opg.optica.org
In this work, a novel positioning algorithm based on a long short term memory-fully
connected network (LSTM-FCN) is proposed to improve the performance of an indoor visible …