Results 191 to 200 of about 864,632 (271)
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang +8 more
wiley +1 more source
Energy‐Aware Perturbation Optimization for Memristor‐Array Convolutional Neural Networks
Memristor‐array inference becomes more energy efficient when layer inputs are reshaped before computation. Sinusoidal perturbation encoding with dual‐threshold screening reduces active voltage pulses and contracts ADC input‐current ranges, jointly lowering crossbar and peripheral energy while preserving accuracy across hardware MNIST validation, deep ...
Ao Xu +6 more
wiley +1 more source
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang +4 more
wiley +1 more source
Corrigendum: Bayesian reasoning with ifs and ands and ors. [PDF]
Cruz N, Baratgin J, Oaksford M, Over DE.
europepmc +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
Repeated exposure rivals lightweight training in Bayesian inference: accuracy, retention, and generalization. [PDF]
Pighin S, Ghin P, Tentori K.
europepmc +1 more source
Abstract Premise The inclusion of heterotrophic plants in broader systematic studies is challenging due to substantial morphological modification, gene loss, and accelerated substitution rates following photosynthesis loss. In particular, inclusion of very long branch (VLB) taxa with highly elevated rates may lead to phylogenomic misinference.
Marybel Soto Gomez +7 more
wiley +1 more source
Evolutionary relationship between organellar DNA inheritance patterns and traits of seed plants
Abstract Premise In plants, organellar DNA is predominantly maternally inherited, but biparental and paternal inheritance have also been observed. Specific mechanisms, such as plastid exclusion during pollen mitosis or genome degradation, ensure maternal inheritance.
Takuya Konuma, Takashi Makino
wiley +1 more source
Firearm carrying practices and motivations: A mixed methods study among adults and youth
Abstract The purpose of this participatory action, mixed methods research study was to identify motivations related to firearm carrying from a qualitative perspective, and then to use quantitative research to characterize the patterns of motivations around carrying.
Krista R. Mehari +5 more
wiley +1 more source

