Artificial intelligence-based sensors for next generation IoT applications: A review
SC Mukhopadhyay, SKS Tyagi… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Sensors play a vital role in our daily lives and are an essential component for Internet of
Things (IoT) based systems as they enable the IoT to collect data to take smart and …
Things (IoT) based systems as they enable the IoT to collect data to take smart and …
Distributed multisensor data fusion under unknown correlation and data inconsistency
M Abu Bakr, S Lee - Sensors, 2017 - mdpi.com
The paradigm of multisensor data fusion has been evolved from a centralized architecture to
a decentralized or distributed architecture along with the advancement in sensor and …
a decentralized or distributed architecture along with the advancement in sensor and …
Tensor product‐based model transformation approach to tower crane systems modeling
This paper presents the application of the tensor product (TP)‐based model transformation
approach to produce Tower CRrane (TCR) systems models. The modeling approach starts …
approach to produce Tower CRrane (TCR) systems models. The modeling approach starts …
An innovative fault direction estimation technique for AC microgrid
Determination of fault direction in a microgrid (MG) is challenging for protection engineers.
The conventional fault detection schemes fail to detect the accurate direction and the small …
The conventional fault detection schemes fail to detect the accurate direction and the small …
Performance improvement of low-cost iterative learning-based fuzzy control systems for tower crane systems
This paper is dedicated to the memory of Prof. Ioan Dzitac, one of the fathers of this journal
and its founding Editor-in-Chief till 2021. The paper addresses the performance …
and its founding Editor-in-Chief till 2021. The paper addresses the performance …
NARX ANN-based instrument fault detection in motorcycle
In the context of motorcycle, we can assist to an increasing interest toward semi-active
suspension control systems able to improve both the comfort and the passenger's safety in …
suspension control systems able to improve both the comfort and the passenger's safety in …
Tensor product‐based model transformation approach to cart position modeling and control in pendulum‐cart systems
The paper presents the application of the tensor product (TP)‐based model transformation
technique to model and control the cart position of single‐input multi‐output pendulum‐cart …
technique to model and control the cart position of single‐input multi‐output pendulum‐cart …
Contemporary challenges and AI solutions in port operations: applying Gale–Shapley algorithm to find best matches
Artificial intelligence (AI) developments enable human capability to deliver the same
outcome at a lower cost. This research performs a high-level matching between AI solutions …
outcome at a lower cost. This research performs a high-level matching between AI solutions …
Automated student classroom behaviors' perception and identification using motion sensors
With the rapid development of artificial intelligence technology, the exploration and
application in the field of intelligent education has become a research hotspot of increasing …
application in the field of intelligent education has become a research hotspot of increasing …
Grey wolf optimizer-based approaches to path planning and fuzzy logic-based tracking control for mobile robots
This paper proposes two applications of Grey Wolf Optimizer (GWO) algorithms to a path
planning (PaPl) problem and a Proportional-Integral (PI)-fuzzy controller tuning problem …
planning (PaPl) problem and a Proportional-Integral (PI)-fuzzy controller tuning problem …