Results 251 to 260 of about 7,468,732 (318)

A modeling framework for detecting and leveraging node-level information in Bayesian network inference. [PDF]

Biostatistics
Xi X, Ruffieux H.
europepmc   +1 more source

Resolving the Structural Duality of Graphene Grain Boundaries

Advanced Materials, EarlyView.
Cantilever ncAFM resolves the atomic structure of grain boundaries in graphene, revealing coexisting stable and metastable types. Both contain pentagon/heptagon defects, but metastable GBs show irregular geometries. Modeling shows metastable GBs form under compression, exhibiting vertical corrugation, while stable GBs are flat.
Haojie Guo, Emiliano Ventura‐Macías, Mariano D. Jiménez‐Sánchez, Nicoleta Nicoara, Pierre Mallet, Jean‐Yves Veuillen, Vincent T. Renard, Antonio J. Martínez‐Galera, Pablo Pou, Julio Gómez‐Herrero, Rubén Pérez, Iván Brihuega   +11 more
wiley   +1 more source

HGATLink: single-cell gene regulatory network inference via the fusion of heterogeneous graph attention networks and transformer. [PDF]

BMC Bioinformatics
Sun Y, Gao J.
europepmc   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Transcriptome data are insufficient to control false discoveries in regulatory network inference. [PDF]

Cell Syst
Kernfeld E, Keener R, Cahan P, Battle A.
europepmc   +1 more source

A dynamic authorizable ciphertext image retrieval algorithm based on security neural network inference. [PDF]

PLoS One
Zhang XY, Hong JW.
europepmc   +1 more source

MicroNet-MIMRF: a microbial network inference approach based on mutual information and Markov random fields. [PDF]

Bioinform Adv
Feng C, Jia H, Wang H, Wang J, Lin M, Hu X, Yu C, Song H, Wang L.   +8 more
europepmc   +1 more source

Smccnet 2.0: a comprehensive tool for multi-omics network inference with shiny visualization. [PDF]

BMC Bioinformatics
Liu W, Vu T, R Konigsberg I, A Pratte K, Zhuang Y, Kechris KJ.   +5 more
europepmc   +1 more source

Comment on 'Artificial Neural Network Inference Analysis Identified Novel Genes and Gene Interactions Associated With Skeletal Muscle Aging' by Tarum et al. [PDF]

J Cachexia Sarcopenia Muscle
Zheng JL, Chen XY, Li YK, Liu HW.
europepmc   +1 more source

Unified Ferroelectric/Memristive Memory for Neural Network Inference and Training

Vianello E, Martemucci M, Rummens F, Malot Y, Hirtzlin T, Guille O, Martin S, Carabasse C, Vincent A, Saighi S, Grenouillet L, Querlioz D.   +11 more
europepmc   +1 more source