Results 151 to 160 of about 334,720 (282)

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

PanForest: predicting genes in genomes using random forests. [PDF]

Bioinformatics
Beavan AJS, Domingo-Sananes MR, McInerney JO.   +2 more
europepmc   +1 more source

Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications

Advanced Materials Technologies, EarlyView.
Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
wiley   +1 more source

Retraction Note: Optimizing credit card fraud detection with random forests and SMOTE. [PDF]

Sci Rep
Sundaravadivel P, Isaac RA, Elangovan D, KrishnaRaj D, Rahul VVL, Raja R.   +5 more
europepmc   +1 more source

In Situ Copper Electroplating Turns Material Extrusion 3D Printers Into Metal–Polymer Hybrid Fabricators

Advanced Materials Technologies, EarlyView.
An in situ electroplating approach for MEX 3D printing is proposed, enabling copper deposition during the fabrication of conductive polymers. The method combines a printer‐integrated plating head, ML‐based g‐code control, and stop‐and‐go printing, achieving near‐bulk copper conductivity and enabling fully embedded, assembly‐free electronic components ...
Gianluca Percoco, Nicola Larovere, Antonio Zagaria, Antonio Pavone, Rosanna Rifino, Gianni Stano   +5 more
wiley   +1 more source

Legendre polynomial transformation and energy-weighted random forests for sequential data classification. [PDF]

Sci Rep
Olaniran OR, Alghamdi FM, Alharbi NM, Abd-Elmougod GA, Alzubaidi S, Muse AH.   +5 more
europepmc   +1 more source

Correction: Analysis of epidemiological association patterns of serum thyrotropin by combining random forests and Bayesian networks. [PDF]

PLoS One, 2023
Becker AK, Ittermann T, Dörr M, Felix SB, Nauck M, Teumer A, Völker U, Völzke H, Kaderali L, Nath N.   +9 more
europepmc   +1 more source

Visible‐Light Photoprogrammable Transistors Enabled by an All‐Organic Triplet‐Sensitized Diarylethene Channel Layer

Advanced Optical Materials, EarlyView.
All‐organic channel‐layer OFETs are shown to enable visible‐light photoprogramming via triplet‐sensitized diarylethene switching. Preferential localization of the photoswitch and organic sensitizer in intercrystalline amorphous domains preserves polymer crystalline packing while ensuring short‐range Dexter‐type triplet–triplet energy transfer and solid‐
Jieun Kwon, Syed Zahid Hassan, Gayoung Ham, Seonghyeon Kang, Geoneop Choi, Sanghyeok An, Hye Ryun Sim, Suryeon Jang, Chang Yun Son, Hyojung Cha, Dae Sung Chung   +10 more
wiley   +1 more source

Inference of Genetic Networks from Pseudo Time Series of Single-cell Gene Expression Data using Modified Random Forests. [PDF]

Bull Math Biol
Kimura S, Misaki R, Tokuhisa M, Iida K, Okada M.   +4 more
europepmc   +1 more source

Utilising random forests in the modelling of Eragrostis curvula presence and absence in an Australian grassland system. [PDF]

Sci Rep, 2023
Brown J, Merchant A, Ingram L.
europepmc   +1 more source