Results 121 to 130 of about 9,565,619 (290)

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring

Advanced Science, EarlyView.
Tumor exposomics integrates continuous monitoring of environmental exposures, endogenous biological responses, and behavioral factors within a unified temporal framework. By combining multimodal sensing technologies with AI‐enabled causal modeling, this emerging paradigm reconstructs exposure‐damage trajectories and supports individualized dynamic risk
Kaicheng Shen, Weiyi Wang, Yang Wang, Yiqiang Wu, Xiaohong Liu, Wei Zhang, Juanjuan Ou   +6 more
wiley   +1 more source

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data

Advanced Science, EarlyView.
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge, Feifan Zhang, Yijiang Liu, Chao Jiang, Peng Gao, Nguan Soon Tan, Sai Zhang, Yuchen Shen, Qianyi Zhou, Xin Zhou, Xiao Wang, Fangqing Zhao, Chuchu Wang, Xiaotao Shen   +13 more
wiley   +1 more source

Adaptive fuzzy total sliding-mode control of unknown nonlinear systems

, 2013
This paper proposes the adaptive fuzzy total sliding-mode control systems with integral (I-AFTSMC) and proportional-integral (PI-AFTSMC) learning algorithms for the unknown nonlinear systems.
Lin, Chih-Min; Hsu, Chun-Fei; Chen, Te-Yu
core   +1 more source

Multi-stage Inference Fuzzy Logic Control

, 2011
[[abstract]]This paper presents a methodology to the design of a multistage inference fuzzy controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth.
Chen, Hung-Pin, Yeh, Zong-Mu
core  

Plant Metabolites Screening Identifies 7‐epi‐10‐Deacetyltaxol Inhibiting Cell Division by Interfering With the Cell Cycle and Microtubule Organization

Advanced Science, EarlyView.
In this study, an efficient screening system is developed for plant metabolites to find a compound, 7‐epi‐10‐deacetyltaxol, inhibits tissue elongation. It suppresses plant growth through brassinosteroid and microtubule pathways. It is later applied to animal cells and human tumor organoids, resulting in similar cell division suppression. These findings
Yan‐Jie Zhang, Yu‐Xuan Bai, Geng G. Tian, Bin Zhang, Ding‐Yi Lu, Qing‐Ping Yao, Wen‐Hao Tian, Xiao‐Na Wei, Jing‐Ting Yang, Ze‐Yu Xiong, Yi Lu, Yu‐Tong Jiang, Chun‐Hui Cai, Yu‐Ming Lu, Xian‐Qing Jia, Li‐Li Jing, Bao‐Jun Yang, Ying‐Xin Qi, Xin‐Xin Han, Ji Wu, Wen‐Hui Lin   +20 more
wiley   +1 more source

On Inference Mechanisms of Fuzzy-Probabilistic Inference Systems

Proceedings of The Eighteenth International Conference on Fuzzy Set Theory and Applications
This work studies the inference mechanism of fuzzy--probabilistic inference systems (FPIS), a class of rule-based models where antecedents encode fuzzy information and consequents represent conditional probability distributions of the output variable. A system of m rules is considered: if the input belongs to a fuzzy set $A_k$, then the output follows ...
Cao, Nhung, Holčapek, Michal, Radek, Valášek   +2 more
openaire   +2 more sources

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

A new approach to adaptive fuzzy control: the controller output error method [PDF]

, 1997
The controller output error method (COEM) is introduced and applied to the design of adaptive fuzzy control systems. The method employs a gradient descent algorithm to minimize a cost function which is based on the error at the controller output.
Lotfi, A, Andersen, HC, Tsoi, AC
core