Results 161 to 170 of about 360,197 (329)

Novel Functional Materials via 3D Printing by Vat Photopolymerization

Advanced Functional Materials, EarlyView.
This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov, Patrick Fesser, Boris A. Bulgakov, Ulrich S. Schubert   +3 more
wiley   +1 more source

Global soil respiration and its components dataset derived from the Random Forest method

, 2021
Haibo Lü
openalex   +1 more source

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

Advanced Healthcare Materials, EarlyView.
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin, Wenbing Jiang, Kai Xin Thong, Zeynep Ulker, Brihitejas Patel, Cynthia Yu‐Wai‐Man   +5 more
wiley   +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

Carbonate reservoir rock type classification using comparison of Naïve Bayes and Random Forest method in field “S” East Java [PDF]

, 2019
Mohammad Syamsu Rosid, S. Haikel, M. Wahdanadi Haidar   +2 more
openalex   +1 more source

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

Advanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
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

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

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 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