Results 231 to 240 of about 360,197 (329)

Nanomaterial‐Based Muscle Cell/Neural Tissue Biohybrid Robots: From Actuation to Biomedical Applications

Advanced Robotics Research, EarlyView.
Muscle cell‐based biohybrid robot using nanomaterials for function enhancement and neural function for biomedical applications. Biohybrid robotics, an emerging field combining biological tissues with artificial systems, has made significant progress in developing various biohybrid constructs, including muscle‐cell‐driven biorobots and microbots.
Minkyu Shin, Sangeun Lee, Su Ryon Shin, Jin‐Ha Choi, Jeong‐Woo Choi   +4 more
wiley   +1 more source

Image-based yield prediction for tall fescue using random forests and convolutional neural networks. [PDF]

Front Plant Sci
Ghysels S, De Baets B, Reheul D, Maenhout S.   +3 more
europepmc   +1 more source

Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering

X. Fang
openalex   +2 more sources

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

Explaining Person-by-Item Responses using Person- and Item-Level Predictors via Random Forests and Interpretable Machine Learning in Explanatory Item Response Models. [PDF]

Psychometrika
Cho SJ, Amanda G, Salas J, Mueller S.
europepmc   +1 more source

High-Dimensional Dynamic Covariance Models with Random Forests

Hongtu Zhu, Shuguang Yu, Fan Zhou, Yingjie Zhang, Ziqi Chen   +4 more
openalex   +1 more source

Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays

Advanced Sensor Research, EarlyView.
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley   +1 more source

pyRforest: a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in R. [PDF]

Brief Funct Genomics
Kolisnik T, Keshavarz-Rahaghi F, Purcell RV, Smith ANH, Silander OK.   +4 more
europepmc   +1 more source

Random Forest (RF).

Ahood Alazwari (12160802), Laleh Tafakori (12160805), Alice Johnstone (12160808), Mali Abdollahian (5940038)   +3 more
openalex   +1 more source

Electronic Nose for Indoor Mold Detection and Identification

Advanced Sensor Research, EarlyView.
This study explores the potential of a SnO2 nanowire‐based chemiresistive electronic nose not only to detect but also to identify two common indoor mold species, Stachybotrys chartarum and Chaetomium globosum on two different growth substrates. In a laboratory setup, the electronic nose displays high classification performance using optimized linear ...
Hankun Yang, Martin Sommer, Stephanie Bauer, Uli Lemmer   +3 more
wiley   +1 more source