Results 131 to 140 of about 52,378 (250)

Data-based neuro-fuzzy systems [PDF]

, 2019
Neuro-fuzzy systems are hybrid systems that possess the functionalities of the two individual systems, where a fuzzy IF-THEN model can be extracted from given numerical data using neural learning approaches. Depending on the numerical data presented, there are generally two approaches to the design of a neuro-fuzzy system; namely, design via batch ...
openaire   +2 more sources

From Low Field to High Value: Robust Cortical Mapping From Low‐Field MRI

Human Brain Mapping, Volume 47, Issue 7, May 2026.
Recon‐any processes a brain MRI acquired with arbitrary contrast, resolution, and field strength to generate morphometric measurements comparable to FreeSurfer's recon‐all, including cortical (parcellation, thickness, etc.) and volumetric (segmentation, regional volumes) outputs.
Karthik Gopinath, Annabel Sorby‐Adams, Jonathan Williams‐Ramirez, Dina Zemlyanker, Jennifer Guo, David Hunt, Christine L. Mac Donald, C. Dirk Keene, Timothy Coalson, Matthew F. Glasser, David Van Essen, Matthew S. Rosen, Oula Puonti, W. Taylor Kimberly, Juan Eugenio Iglesias, Alzheimer's Disease Neuroimaging Initiative   +15 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  

Technical Review of Magnetic Resonance Fingerprinting Applications in Cerebral Physiology

Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2898-2918, May 2026.
ABSTRACT Magnetic resonance fingerprinting (MRF) enables quantitative MRI by allowing the simultaneous mapping of multiple tissue properties through innovative acquisition and computational methods. This review focuses on the application of MRF techniques to cerebral physiology, emphasizing advancements in vascular imaging and the integration of ...
Chieh‐Te Lin, Hanzhang Lu, Audrey P. Fan   +2 more
wiley   +1 more source

High‐Resolution Diffusion‐Weighted Imaging With Self‐Gated Self‐Supervised Unrolled Reconstruction

Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2852-2862, May 2026.
ABSTRACT Purpose High‐resolution diffusion‐weighted imaging (DWI) is clinically demanding. The purpose of this work is to develop an efficient self‐supervised algorithm unrolling technique for submillimeter‐resolution DWI. Methods We developed submillimeter DWI acquisition utilizing multi‐band multi‐shot EPI with diffusion shift encoding.
Zhengguo Tan, Patrick A. Liebig, Annika Hofmann, Frederik B. Laun, Florian Knoll   +4 more
wiley   +1 more source

Supervised and dynamic neuro-fuzzy systems to classify physiological responses in robot-assisted neurorehabilitation. [PDF]

PLoS One, 2015
Lledó LD, Badesa FJ, Almonacid M, Cano-Izquierdo JM, Sabater-Navarro JM, Fernández E, Garcia-Aracil N.   +6 more
europepmc   +1 more source

A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention

Obesity Reviews, Volume 27, Issue 5, May 2026.
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini, Shuo‐yu Lin, Ge Song, Ruopeng An, Hong Xue   +4 more
wiley   +1 more source

Sistema computacional para auxílio ao diagnóstico em exames de tuberculose animal A computer software system to assist in the diagnosis of animal tuberculosis

Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 2013
The results obtained in evaluating the efficiency of a Neuro-Fuzzy System NEFCLASS (Neuro-Fuzzy Classification) in image classification of cattle tuberculosis, based on its texture features extracted using the wavelet transform are presented. For testing,
A.C.N.R. Gracioso, R.A.M. Souza Filho, A. Gonzaga, F.J.R. Fernandez   +3 more
doaj  

The Sociology of AI as an Emerging Field: Mapping Tensions and Boundaries

Sociology Compass, Volume 20, Issue 5, May 2026.
ABSTRACT The expanding role of artificial intelligence (AI) in social life compels a foundational reassessment of sociology's concepts, methods, and theoretical commitments. From generative language models to predictive policing, AI systems are no longer mere tools but increasingly agentic, opaque, and normative sociotechnical actors.
Canhui Liu
wiley   +1 more source

The Multifaceted Legacy of Thalidomide: Chemistry and Biology Driving Modern Drug Design

ChemMedChem, Volume 21, Issue 7, 14 April 2026.
Thalidomide serves as a molecular nexus linking chemistry and biology: advances in synthesis and structural understanding enable protein degradation technologies, while its immunomodulatory activity underpins anti‐inflammatory and anticancer therapies.
Konstantina Nikovia, Michael Kapsalis, Michael Georgoulakis, Athanasios Panousis, Constantinos G. Neochoritis   +4 more
wiley   +1 more source