Results 141 to 150 of about 164,645 (346)
On the Use of Fuzzy Inference Systems for Assessment and Decision Making Problems
Kai Meng Tay, Chee Peng Lim
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Preliminary Test of Adaptive Neuro-Fuzzy Inference System Controller for Spacecraft Attitude Control [PDF]
Sung Woo Kim +2 more
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When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
An Adaptive Neuro-Fuzzy Inference System Based Approach to Real Estate Property Assessment [PDF]
This paper describes a first effort to design and implement an adaptive neuro-fuzzy inference system based approach to estimate prices for residential properties. The data set consists of historic sales of homes in a market in Midwest USA and it contains
Alan S. Levitan, Jian Guan, Jozef Zurada
core
Stock Price Index Prediction Using Adaptive Neural Fuzzy Inference System
Rina Nopianti +2 more
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Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source
Design and implementation of fuzzy logic controllers [PDF]
The main objectives of our research are to present a self-contained overview of fuzzy sets and fuzzy logic, develop a methodology for control system design using fuzzy logic controllers, and to design and implement a fuzzy logic controller for a real ...
Abihana, Osama A., Gonzalez, Oscar R.
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Application of fuzzy inference system by Sugeno method on estimating of salt production [PDF]
Tony Yulianto +2 more
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AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source

