Results 121 to 130 of about 1,671,237 (334)

Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network [PDF]

, 2000
The fuzzy ARTMAP neural network is used to classify data that is incomplete in one or more ways. These include a limited number of training cases, missing components, missing class labels, and missing classes.
Granger, Eric, Grossberg, Stephen, Lavoie, Pierre, Rubin, Mark   +3 more
core   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source

Multi-scale Multi-granularity Decoupled Distillation Fuzzy Classifier and Its Application inEpileptic EEG Signal Detection [PDF]

Jisuanji kexue
In the task of epileptic EEG signal detection,deep learning methods exhibit outstanding feature representation capabilities but suffer from poor interpretability.In contrast,the Takagi-Sugeno-Kang(TSK) fuzzy classifier is endowed with superior fuzzy-rule
JIANG Yunliang, JIN Senyang, ZHANG Xiongtao, LIU Kaining, SHEN Qing
doaj   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

Fusion ARTMAP: An Adaptive Fuzzy Network for Multi-Channel Classification [PDF]

, 1993
Fusion ARTMAP is a self-organizing neural network architecture for multi-channel, or multi-sensor, data fusion. Fusion ARTMAP generalizes the fuzzy ARTMAP architecture in order to adaptively classify multi-channel data.
Asfour, Yousif R., Carpenter, Gail A., Grossberg, Stephen, Lesher, Gregory W.   +3 more
core   +2 more sources

Strongly selfguessing fuzzy classifiers

Informatica, 1995
The problem of construction of the fuzzy classification models (fuzzy classifiers) with high generalization ability is discussed. The strong self guessing property of fuzzy classificational models is introduced and examined. It is proved that this characteristic doesn't form a full system of restrictions, i.e., for the unambiguous detection of the most
openaire   +2 more sources

Advanced Corneal Hydrogels: From Passive Replacement to Active Regeneration and Intelligent Interaction

Advanced Science, EarlyView.
This review charts the evolution of corneal hydrogels from passive replacements to active and intelligent systems, evaluating natural and synthetic materials while addressing design challenges such as transparency and strength. Advanced applications such as scarless wound healing, three‐dimensional bioprinting, and smart wearables are highlighted to ...
Xinwei Wang, Wen Zhou, Haotian Xue, Wenjun Xue, Guangping Gao, Bing Zhu, Hongyuan Song, Qingqiang Xu, Jing Zhao, Wei Shen   +9 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

A Familiartiy-Based Bound on the Expected Error Rate for Classification with the Fuzzy ARTMAP Neural Network [PDF]

, 1999
We obtain a bound on the expected error rate of the fuzzy ARTMAP neural network employed as a classifier. This bound is based on leave-one-out estimation of the classification error, and is analogous to a bound on the expected error rate for support ...
Rubin, Mark
core   +1 more source

PIK3CA Mutations Downregulate PPT1 to Promote Adipogenesis by Suppressing P300 Depalmitoylation and Phase Separation

Advanced Science, EarlyView.
This study demonstrates that somatic PIK3CA mutations suppress PPT1 expression via activation of the PI3K–AKT–c‐JUN axis. This reduction in PPT1 weakens its interaction with P300, thereby increasing palmitoylation at C1176 of P300 and protecting P300 from lysosomal degradation.
Hongrui Chen, Zening Huang, Rui Chang, Wei Gao, Yajing Qiu, Bin Sun, Chen Hua, Xiaoxi Lin   +7 more
wiley   +1 more source