This study presents a neuro-fuzzy approach to helicopter turboshaft engine control, improving fuel efficiency and performance ...

Implementing deep learning algorithms on edge devices has so far proved challenging, in part due to their power constraints and limited computational resources. Fuzzy logic systems, computational ...

On the other hand, proportional-integral (PI) controllers are computationally lightweight but struggle to achieve higher accuracy. Simulations using actual data in MATLAB show that the proposed ...

One of the innovations of this paper is the presentation of an adaptive input range fuzzy logic system (AFLS) with portability and adaptability, offering a novel approach for determining the input ...

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Enough about the background context...let’s get on with the actual information sharing. One of the tools that I find myself sharing with others across Northwestern most frequently is the logic model.

This repository contains the implementation of a fuzzy classifier following the formulation of a Takagi-Sugeno-Kang Fuzzy ... Based on the combination of these four features, it is possible to develop ...

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences ...

If you give Lego blocks, a kit to assemble an aero-model or simply use templates, you will stifle design and creativity ... Design is an evolution of vision and free thought, from chaos to order, from ...

We propose new evaluation metrics for world model recovery inspired by the classic Myhill-Nerode theorem from language theory. We illustrate their utility in three domains: game playing, logic puzzles ...