Results 221 to 230 of about 63,273 (275)

Low density marker-based effectiveness and efficiency of early-generation genomic selection relative to phenotype-based selection in dolichos bean (Lablab purpureus L. Sweet). [PDF]

Plant Genome
Kalpana MP, Ramesh S, Siddu CB, Basanagouda G, Madhusudan K, Sathish H, Sindhu D, Kemparaju M, Anilkumar C.   +8 more
europepmc   +1 more source

Device‐Level Implementation of Reservoir Computing With Memristors

Advanced Intelligent Systems, EarlyView.
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley   +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

Harnessing genomic prediction in Brassica napus through a nested association mapping population. [PDF]

Plant Genome
Perumal S, Higgins EE, Sra S, Khedikar Y, Moore J, Chaudary R, Haile T, Koh CS, Vail S, Robinson SJ, Horner K, Hope B, Klein-Gebbinck H, Herrmann DT, Navabi K, Sharpe AG, Parkin IAP.   +16 more
europepmc   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Kernel-FastICA-Based Nonlinear Blind Source Separation for Anti-Jamming Satellite Communications. [PDF]

Sensors (Basel)
Sun X, Li C, Li J, Su Q.
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

EasyGeSe - a resource for benchmarking genomic prediction methods. [PDF]

BMC Genomics
Quesada-Traver C, Ariza-Suarez D, Studer B, Yates S.   +3 more
europepmc   +1 more source

MusicSwarm: Biologically Inspired Intelligence for Music Composition

Advanced Intelligent Systems, EarlyView.
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley   +1 more source

Berry Batesian mimicry enables bird dispersal of asexual bulbils in a yam. [PDF]

Proc Natl Acad Sci U S A
Chen Z, Chomicki G, Li Y, Peng X, Chen G.   +4 more
europepmc   +1 more source