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Autonomous Drug-Encapsulated Nanoparticles: Towards a Novel Non-Invasive Approach to Prevent Atherosclerosis
Introduction: This paper proposes the concept of autonomous drug-encapsulated nanoparticle (ADENP) as a novel noninvasive approach to prevent atherosclerosis. ADENP consists of three simple units of sensor, controller ...
Stigmergic cooperation of nanoparticles for swarm fuzzy control of low-density lipoprotein concentration in the arterial wall
This paper proposes the use of stigmergic cooperation between two swarms of Fuzzy Nanoparticles (FNPs) and Auxiliary Nanoparticles (ANPs) for intelligent control of Low-Density Lipoprotein (LDL) concentration in the arterial ...
A general insight into the effect of neuron structure on classification
This paper gives a general insight into how the neuron structure in a multilayer
perceptron (MLP) can affect the ability of neurons to deal with classification. Most of the
common neuron structures are based ...
A hybrid type-2 fuzzy clustering technique for input data preprocessing of classification algorithms
Recently, clustering has been used for preprocessing datasets before applying classification algorithms in order to enhance classification efficiency. A strong clustered dataset as input to classification algorithms can ...
Optimal Path Planning for Controllability of Switched Linear Systems Using Multi-level Constrained GA
Optimal Path Planning for Controllability of Switched Linear Systems Using Multi-level Constrained GA
Reducing the Search Space in Evolutionary Optimization Using Computing with Words and Perceptions
A general characterization of evolution-based optimization is its blindness towards the
optimization landscape. While this can be an asset for a better global search, it inhibits their
computational efficiency ...