Results 101 to 110 of about 10,818 (144)

A multi-objective grey wolf optimization algorithm for energy-efficient cluster-based routing in IoT-enabled WSNs. [PDF]

Sci Rep
Sennan S, S S, Somula R, Pandey D, Cho Y.   +4 more
europepmc   +1 more source

Transfer learning based osteoporosis prediction using enhanced medical imaging and fuzzy fusion. [PDF]

Sci Rep
Kaur N, Khan S, Alazman I, Bin-Asfour M, Alam MN, Balasubramaniam V, Whig P.   +6 more
europepmc   +1 more source

Towards Clinical Trial Readiness: Optimization of a Parallel Robot for Lower Limb Rehabilitation. [PDF]

Bioengineering (Basel)
Tucan P, Vanta OM, Horsia A, Zima I, Lupu DM, Vaida C, Jucan D, Machado J, Pisla D.   +8 more
europepmc   +1 more source

Hybrid adaptive PID control strategy for UAVs using combined neural networks and fuzzy logic. [PDF]

PLoS One
Madebo NW.
europepmc   +1 more source

A hybrid framework for notebook market analysis: Integrating social media sentiment mining with expert knowledge for feature prioritization. [PDF]

PLoS One
Maghsoudi M, Bakhtiari M, Bakhtiari H.
europepmc   +1 more source

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An aggregated higher order fuzzy logical relationships technique

AIP Conference Proceedings, 2019
From the beginning, forecasting of time series events like weather forecasting, accidents prediction, enrolments forecasting, stock prices etc has drawn attention of many people. A lot of work has been done in the forecasting field where data is in linguistic form. In current paper, an innovative method is proposed to forecast the time series of higher
Gunjan Goyal, Dinesh C. S. Bisht
openaire   +1 more source

Adaptive Higher-Order Sliding Mode Control Based Fuzzy Logic T-S for Lateral Dynamics of Autonomous Vehicles

2021 12th International Conference on Information and Communication Systems (ICICS), 2021
In this paper, we have used the super-twisting sliding mode control to control the lateral dynamics of the autonomous vehicle. We approximate the equivalent command used to control the autonomous vehicle by fuzzy logic type Takagi-Sugeno and also we optimize the parameters of this controller using the optimization of the particle swarm (PSO) to improve
Rachid Alika, El Mehdi Mellouli, El Houssaine TISSIR   +2 more
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Higher-order and Hard-nonlinear Control with Fuzzy Logic

Journal of Intelligent & Fuzzy Systems, 1993
With the advances in science and technology, modern systems become more and more complex and difficult to identify. This trend is bound to limit the usage of such control algorithms as model reference adaptive control, which needs to identify the order of the system first.
Sun, Kuo-Tung, Woo, Peng-Yung
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Design of Optimized PID Type Fuzzy Logic Controller for Higher Order System

2018 5th International Conference on Signal Processing and Integrated Networks (SPIN), 2018
In this paper, a new structure of PID type fuzzy logic controller is proposed in which Fuzzy PI controller and conventional PD controller are connected in parallel. The gains of the proposed controller are calculated by Gradient descent optimization method. Illustrative examples are considered to validate the performance of the proposed structure.
Roshan Bharti, Rishika Trivedi, Prabin k. Padhy   +2 more
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Higher-Order Fuzzy Logics and their Categorical Semantics: Higher-Order Linear Completeness and Baaz Translation via Substructural Tripos Theory

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021
There are, in general, two kinds of logical foundations of mathematics, namely set theory and higher-order logic (aka. type theory). Fuzzy set theory and class theory have been studied extensively for a long time. Studies on higher-order fuzzy logic, by contrast, just started more recently and there is much yet to be done.
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