On-The-Fly Syntheziser Programming with Fuzzy Rule Learning. [PDF]
Entropy (Basel), 2020 Paz I, Nebot À, Mugica F, Romero E.
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A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients. [PDF]
Neural Comput Appl, 2022 Jena KK, Bhoi SK, Prasad M, Puthal D.
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Fuzzy rule-based system applied to risk estimation of cardiovascular patients [PDF]
, 2013 Cardiovascular decision support is one area of increasing research interest. On-going collaborations between clinicians and computer scientists are looking at the application of knowledge discovery in databases to the area of patient diagnosis, based on ...
Bohacik, Jan, Davis, Darryl N.
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International Journal of Approximate Reasoning, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Learnable Diffusion Framework for Mouse V1 Neural Decoding
Advanced Science, EarlyView.We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
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Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction. [PDF]
Appl Soft Comput, 2020 Fong SJ +4 more
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Linearity Testing Against a Fuzzy Rule-based Model [PDF]
In this paper, we introduce a linearity test for fuzzy rule-based models in the framework of time series modeling. To do so, we explore a family of statistical models, the regime switching autoregressive models, and the relations that link them to the ...
José Luis Aznarte +2 more
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Nanoscale Spatial Organization of ARC High‐ and Low‐Order Assemblies at Excitatory Synapses
Advanced Science, EarlyView.ARC (Activity‐Regulated Cytoskeleton‐Associated protein) mediates synaptic plasticity by forming nanoscale assemblies in neurons. Using super‐resolution microscopy and time‐resolved anisotropy with targeted tagging, the study reveals low‐order ARC assemblies at synapses colocalizing with AMPARs, semi‐circular structures at endocytic zones, and 60–80 nm
Martina Damenti +13 more
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Comparative Evaluation of Different Fuzzy Tuning Rules on Energy Management Systems Cost Savings
Results in EngineeringThis paper presents a comparative evaluation of two fuzzy logic tuning approaches applied to the energy management system (EMS) of a grid-connected hybrid solar photovoltaic (PV) and battery storage system. Unlike optimization-driven methods that require
Oladimeji Ibrahim +5 more
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