Results 101 to 110 of about 17,798,065 (292)
Advanced Science, EarlyView.Schematic representation of ultrasound‐mediated ICG/siCD24@MSN‐LCD from nanostructure to synergistic sono‐gene therapy. This nanoplatform targets ASGPR via the LCD shell, which dissociates to release loaded ICG and siCD24. The core mechanism involves ultrasound‐guided sonodynamic therapy by ICG and CD24 knockdown by siCD24, both activating the p53 axis
Yading Zhao +11 more
wiley +1 more source
Soft Computing Optimizer For Intelligent Control Systems Design: The Structure And Applications [PDF]
Journal of Systemics, Cybernetics and Informatics, 2003 Soft Computing Optimizer (SCO) as a new software tool for design of robust intelligent control systems is described. It is based on the hybrid methodology of soft computing and stochastic simulation.
Sergey A. Panfilov +6 more
doaj
Advances in Fuzzy Systems, 2012 This paper presents a novel fuzzy deterministic noncontroller type (FDNCT) system and an FDNCT inference algorithm (FIA). The FDNCT uses fuzzy inputs and produces a deterministic non-fuzzy output.
Macam S. Dattathreya +2 more
doaj +1 more source
Multi-stage Inference Fuzzy Logic Control
, 2011 [[abstract]]This paper presents a methodology to the design of a multistage inference fuzzy controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth.
Chen, Hung-Pin, Yeh, Zong-Mu
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Advanced Science, EarlyView.Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley +1 more source
Fuzzy Inference Systems Optimization
CoRR, 2011 This paper compares various optimization methods for fuzzy inference system optimization. The optimization methods compared are genetic algorithm, particle swarm optimization and simulated annealing. When these techniques were implemented it was observed that the performance of each technique within the fuzzy inference system classification was context
Pretesh B. Patel, Tshilidzi Marwala
openaire +2 more sources
, 2020 Complex fuzzy theory has strong practical background in many important applications, especially in decision-making support systems. Recently, the Mamdani Complex Fuzzy Inference System (M-CFIS) has been introduced as an effective tool for handling events
Ngan, Tran Thi +13 more
core +1 more source
A comparison of fuzzy approaches to e-commerce review rating prediction [PDF]
, 2015 This paper presents a comparative analysis of the performance of fuzzy approaches on the task of predicting customer review ratings using a computational intelligence framework based on a genetic algorithm for data dimensionality reduction.
Cosma, G, Acampora, G
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Advanced Science, EarlyView.Single‐cell, spatial, molecular, and pathology analyses identify a CDH3‐associated malignant epithelial state in thymic epithelial tumors. This state links stem‐like and EMT programs to M2 macrophage–rich immunosuppressive niches, genomic instability, poor survival, and drug vulnerability.
Yuntao Feng +13 more
wiley +1 more source
Rainfall prediction in the northeast region of Thailand using Cooperative Neuro-Fuzzy Technique [PDF]
, 2012 Accurate rainfall forecasting is a crucial task for reservoir operation and flood prevention because it can provide an extension of lead-time for flow forecasting. This study proposes two rainfall time series prediction models, the Single Fuzzy Inference
Wong, K.W., Fung, C.C., Kajornrit, J.
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