A novel adaptive neuro-fuzzy and adaptive proportional resonant control scheme for PMSM based electric vehicle applications. [PDF]
Sci RepSangeetha E, Ramachandran VP.
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Artificial neural network modeling and optimization of an electrochemical biosensor for plasma miR-155-based breast cancer detection. [PDF]
Sci RepImani A +3 more
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Multiple antenna performance parameters estimation of folded dipole antenna using Adaptive Neuro-Fuzzy Inference System trained with Particle Swarm Optimization. [PDF]
Sci RepHaznedar B, Gençoğlan DN, Haznedar H.
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Mitigating Neural Habituation in Insect Bio-Bots: A Dual-Timescale Adaptive Control Approach. [PDF]
Biomimetics (Basel)Triet LM, Truong Thinh N.
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A Neuro-Fuzzy Approach in the Prediction of Financial Stability and Distress Periods
The purpose of this paper is to present a neuro-fuzzy approach of financial distress pre-warning model appropriate for risk supervisors, investors and policy makers.
Giovanis, eleftheios
core
Pulse Wave Velocity Estimation in a Controlled In Vitro Vascular Model: Benchmarking Machine Learning Approaches. [PDF]
Sensors (Basel)Barvik D +3 more
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Smart wastewater management in hydro-technical systems using digital twin technology. [PDF]
Sci RepAhanger TA +4 more
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Neuro-Fuzzy approach for the predictions of economic crisis
In this paper we present the neuro-fuzzy technology for the prediction of economic crisis of USA economy. Our findings support ANFIS models to traditional discrete choice models of Probit and Logit, indicating that the last models are not very useful for
Giovanis, Eleftherios
core
Prediction of thaw settling coefficient of frozen soil using machine learning techniques. [PDF]
Sci RepWang K +6 more
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A hybrid ensemble approach: fusing ANFIS, LSTM, and LSSVM with PSO for enhanced influenza a forecasting. [PDF]
BMC Infect DisZhu L +11 more
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