Results 161 to 170 of about 118,631 (311)

Improving Semantic Information Retrieval Using Multinomial Naive Bayes Classifier and Bayesian Networks [PDF]

, 2023
Wiem Chebil, Mohammad Wedyan, Moutaz Alazab, Ryan Alturki, Omar Elshaweesh   +4 more
openalex   +1 more source

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

Advanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang, Yuqi Zhang, Xuzhe Zhao, Yansong Tang, Kaichen Dong   +4 more
wiley   +1 more source

Systematic Multi‐Level Analyses Decode the Arthritis‐Neurodegeneration Axis With In Vivo Validation

Advanced Science, EarlyView.
Arthritis and neurodegeneration are usually studied as separate disorders, but this study connects them through population evidence, genetic inference, transcriptomic mapping, and mouse models. It highlights RNF40 as a context‐dependent joint‐brain candidate, induced in inflammatory joints yet functionally linked to dopamine‐neuron vulnerability ...
Jinwen Wang, Wenhui Xie, Lei Yang, Zhengrong Wang, Yi Huang, Peng Huang, Yuan Liu, Jun Hu   +7 more
wiley   +1 more source

Bayesian Networks and Causal Discovery. [PDF]

Entropy (Basel)
Gao X, Wang Z.
europepmc   +1 more source

Diagnostic Bayesian network in building energy systems: Current insights, practical challenges, and future trends

Chujie Lu, Ziao Wang, Martín Mosteiro-Romero, Laure Itard   +3 more
openalex   +1 more source

Joint Radar-Communication-Based Bayesian Predictive Beamforming for Vehicular Networks [PDF]

, 2020
Weijie Yuan, Fan Liu, Christos Masouros, Jinhong Yuan, Derrick Wing Kwan Ng   +4 more
openalex   +1 more source

Livestock Multi‐Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation

Advanced Science, EarlyView.
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen, Zhongyu Wang, Jieping Huang, Fen Li, Ningbo Chen, Yun Ma   +5 more
wiley   +1 more source

Bayesian networks as prognostic models in oncology: a systematic review and recommendations for clinical practice. [PDF]

BMJ Oncol
Reijnen C, Pijnenborg JMA, Hoskin P, Mcwilliam A, Lucas PJF, Hommersom A, Kwisthout J, Choudhury A.   +7 more
europepmc   +1 more source

Unveiling the Uncharted Potential of 2D Materials in Li/Na–S Batteries: A Paradigm Shift From Graphene

Advanced Science, EarlyView.
This review explores emerging 2D materials beyond graphene, including graphdiyne, phosphorene, borophene, siloxene, MBene, antimonene, and germanene for Li/Na–S batteries. It analyzes their roles as sulfur hosts, metallic anode protectors, separators, and electrolyte fillers, emphasizing polysulfide suppression, dendrite inhibition, and interfacial ...
Naveen Kumar T. R, Xuebing Zhu, Yao‐Jie Lei, Lei Zhang, Hua Kun Liu, Weihong Lai, Guoxiu Wang, Yun‐Xiao Wang   +7 more
wiley   +1 more source

A Treatment Decision Model for Cutaneous Squamous Cell Carcinoma Based on Bayesian Networks. [PDF]

Cancers (Basel)
Ghura E, Gaebel J, Neumuth T, Dietz A, Wichmann G, Stoehr M.   +5 more
europepmc   +1 more source