Results 251 to 260 of about 1,276,641 (352)

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Enhancing genomic predictive ability of yield and yield-related traits in spring wheat by integrating major plant adaptation genes as a fixed effect. [PDF]

Theor Appl Genet
Gao Y, Dhillon GS, Joshi P, Wheeler J, Kaur A, Chen J.   +5 more
europepmc   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source

Multi-omics data integration for enhanced cancer subtyping via interactive multi-kernel learning. [PDF]

Brief Bioinform
Cao H, Wang T, Xu Z, Zhao X, Liu G, Yang X, Fang R, Luo Y, Zeng P, Yu H, Zhang Y, Cui Y.   +11 more
europepmc   +1 more source

Reproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits. [PDF]

Genetics, 2008
Gianola D, van Kaam JB.
europepmc   +1 more source

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

Advanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov, Hanzhi Ma, Junbo Peng, Huifeng Dong, Jiangshan Zhuo, Mengke Shi, Lvting Wang, Shengchao Jiang, Ye Shi   +8 more
wiley   +1 more source

Leveraging historical trials to predict Fusarium head blight resistance in spring wheat breeding programs. [PDF]

Plant Genome
Brault C, Conley EJ, Green AJ, Glover KD, Cook JP, Gill HS, Read AC, Fiedler JD, Anderson JA.   +8 more
europepmc   +1 more source

Interpolation-based reproducing kernel particle method

Jennifer E. Fromm, John A. Evans, Jiun‐Shyan Chen   +2 more
openalex   +1 more source

RanBALL: An Ensemble Machine Learning Framework for Accurate Subtype Identification of Pediatric B‐Cell Acute Lymphoblastic Leukemia

Advanced Intelligent Systems, EarlyView.
Here, we present RanBALL, an ensemble random projection‐based model for accurate and cost‐effective identification of B‐cell acute lymphoblastic leukemia subtypes is presented. By preserving patient‐to‐patient distance after dimension reduction by random projection and ensemble learning, RanBALL can facilitate the discovery of B‐ALL subtype‐specific ...
Lusheng Li, Hanyu Xiao, Xinchao Wu, Zhenya Tang, Joseph D. Khoury, Jieqiong Wang, Shibiao Wan   +6 more
wiley   +1 more source

$$ \alpha $$ -KIDS: A Novel Feature Evaluation in the Ultrahigh-Dimensional Right-Censored Setting, With Application to Head and Neck Cancer. [PDF]

Stat Med
Urmi AF, Ke C, Bandyopadhyay D.
europepmc   +1 more source