Results 241 to 250 of about 954,754 (291)

An FPTAS for Connectivity Interdiction. [PDF]

Math Program
Huang CC, Obscura Acosta N, Yingchareonthawornchai S.   +2 more
europepmc   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Hybrid CNN BiLSTM architecture for smart grid cyberattack detection using smart meter data. [PDF]

Sci Rep
Alamgir FM, Das S, Akand AR, Fariha A, Islam MR, Sarker MZI, Zuberi N, Arman M.   +7 more
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Phylogenetic and Population Genetic Analyses Reveal Patterns of Divergence Among Isolates of <i>Ceratocystis manginecans</i>. [PDF]

Ecol Evol
Lynn KMT, Wingfield MJ, Oliveira LSS, Alfenas AC, Alfenas RF, Marincowitz S, Barnes I.   +6 more
europepmc   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Genomic Sampling and Population Structure of Farmer-Maintained Varieties Reveal Previously Uncharacterized Diversity of Theobroma cacao L. in Costa Rica. [PDF]

Mol Ecol
Herrighty EM, Specht CD, Gore MA, Solano L, Estrada-Gamboa J, Hernandez CE, Tufan HA, Landis JB.   +7 more
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Environmental phylogenetics supports a steady diversification of crown eukaryotes starting from the mid-Proterozoic. [PDF]

Proc Natl Acad Sci U S A
Sandin MM, Cohen PA, Morlon H, Burki F.
europepmc   +1 more source

Genetic diversity of Dermacentor nitens (Acari: Ixodidae) collected on horses from western Cuba. [PDF]

J Med Entomol
Roblejo-Arias L, Diaz-Sánchez AA, Marrero-Perera R, Lobo-Rivero E, Corona-González B, Chilton NB.   +5 more
europepmc   +1 more source