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 +8 more
wiley +1 more source
Responses of cotton jassid (<i>Amrasca biguttula</i>) to synthetic insecticides recommended in Tanzania. [PDF]
Nyesse JE, Rwegasira GM, Chilagane LA.
europepmc +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Genome-wide identification and expression analysis of C<sub>3</sub>HC<sub>4</sub>-type RING finger gene family in <i>Gossypium hirsutum</i>. [PDF]
Song X +10 more
europepmc +1 more source
Enhanced nitrogen dynamics and uptake in cotton via organic liquid fertilizer partial substitution. [PDF]
Jiang L +8 more
europepmc +1 more source
Cotton field population phenotyping analysis based on 3D Gaussian reconstruction and dynamic spatial constraints. [PDF]
Liu B +5 more
europepmc +1 more source
Genome-Wide Characterization and Expression Profiling of the <i>CCR</i> Gene Family Associated with Stem Strength in Upland Cotton (<i>Gossypium hirsutum</i> L.). [PDF]
Feng CH +13 more
europepmc +1 more source
Lightweight architecture optimization of YOLOv12n for improved cotton verticillium wilt detection. [PDF]
Ye Z, Yang M, Zhang Z, Hou Z, Zhao X.
europepmc +1 more source

