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Found 10 papers, 0 papers with code
On some Foundational Aspects of Human-Centered Artificial Intelligence
The burgeoning of AI has prompted recommendations that AI techniques should be "human-centered".
A First Attempt to Cloud-Based User Verification in Distributed System
In this paper, the idea of client verification in distributed systems is presented.
Is swarm intelligence able to create mazes?
In this paper, the idea of applying Computational Intelligence in the process of creation board games, in particular mazes, is presented.
Simplified firefly algorithm for 2D image key-points search
In order to identify an object, human eyes firstly search the field of view for points or areas which have particular properties.
An agent-driven semantical identifier using radial basis neural networks and reinforcement learning
Due to the huge availability of documents in digital form, and the deception possibility raise bound to the essence of digital documents and the way they are spread, the authorship attribution problem has constantly increased its relevance.
Improving files availability for BitTorrent using a diffusion model
The combination of the mathematical model and the neural network provides a solution for choosing file fragments that need to be copied first, in order to ensure their continuous availability, counteracting possible disconnections by some peers.
A Cascade Neural Network Architecture investigating Surface Plasmon Polaritons propagation for thin metals in OpenMP
Surface plasmon polaritons (SPPs) confined along metal-dielectric interface have attracted a relevant interest in the area of ultracompact photonic circuits, photovoltaic devices and other applications due to their strong field confinement and enhancement.
A hybrid neuro--wavelet predictor for QoS control and stability
For distributed systems to properly react to peaks of requests, their adaptation activities would benefit from the estimation of the amount of requests.
Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting
Solar radiation prediction is an important challenge for the electrical engineer because it is used to estimate the power developed by commercial photovoltaic modules.
A radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module
The design process of photovoltaic (PV) modules can be greatly enhanced by using advanced and accurate models in order to predict accurately their electrical output behavior.
