Results 201 to 210 of about 301,294 (309)

Phenotypic classification of opium poppy genotypes (Papaver somniferum L.) based on morpho-phenological traits. [PDF]

Sci Rep
Özgen Y, Bayraktar N, Ozkan U.
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Anthropogenic Disturbances and Invasion of <i>Mikania micrantha</i> Threaten <i>Rauvolfia serpentina</i> Populations in Nepal. [PDF]

Ecol Evol
Neupane A, Jnawali B, Ghimire SK.
europepmc   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

Population dynamics of seed and seedlings of Albizia procera (Roxb.) in Mizoram, India. [PDF]

Sci Rep
Musa FI, Sahoo UK, Mohamed AAA, Thangjam U, Chettri M.   +4 more
europepmc   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Geographic authentication of <i>Amomum tsaoko</i> seeds using fourier transform-near infrared spectroscopy combined with machine learning techniques and feature reduction analysis. [PDF]

Front Plant Sci
Zheng Y, Lan S, Hu H, Huang X, Wang H, Cao H, Liu X, Yang Y, Ji S, Xie H.   +9 more
europepmc   +1 more source

Seed Storage of Indian Forest Plants [PDF]

Nature, 1949
openaire   +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

Functional Traits Shape Seed-Rodent Interactions in a Subtropical Forest: Insights From Individual-Based Tracking With Double-Duplex PIT Tagging. [PDF]

Ecol Evol
Gu H, Yang X, Dirzo R, Zhang Z.
europepmc   +1 more source