Results 181 to 190 of about 6,176,379 (373)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Classification of angioedema types using decision tree modeling. [PDF]

Front Immunol
Aulenbacher F, Gutsche A, Farkas H, Kőhalmi KV, Kocatürk E, Aygören-Pürsün E, Martin L, Longhurst H, Staubach P, Zanichelli A, Aberer W, Bygum A, van den Elzen M, Buttgereit T, Magerl M.   +14 more
europepmc   +1 more source

Linguistic Decision Tree Induction [PDF]

, 2003
Lawry, J, Zengchang, Qin
core  

Implementasi Algoritma Decision Tree dengan Pruning pada Sistem Manajemen Data Jemaat: Studi Kasus GKS Umamapu

Pius Tae Here Ati, Rambu Yetti Kalaway, Erwiantah Gustial Radjah   +2 more
openalex   +2 more sources

Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

, 2020
Yanli Wu, Yutian Ke, Zhuo Chen, Shouyun Liang, Hongliang Zhao, H. Hong   +5 more
semanticscholar   +1 more source

Electrically Tunable On‐Chip Topological Photonics with Integrated Carbon Nanotubes

Advanced Functional Materials, EarlyView.
This work demonstrates electrically tunable on‐chip topological THz devices by integrating 2D carbon nanotube (CNT) sheets with valley‐Hall photonic crystals, enabling broadband transmission modulation (71% modulation depth) and tunable narrowband filtering (0.54 GHz shift) through electrically induced thermal tuning. This advancement paves the way for
Jifan Yin, Wenhao Wang, Thomas Caiwei Tan, Abhishek Kumar, Ridong Jia, Nikhil Navaratna, Ranjan Singh, Lijuan Xie   +7 more
wiley   +1 more source

Machine learning-based decision-tree model for patients with single-large hepatocellular carcinoma. [PDF]

J Chin Med Assoc
Lin YC, Ho CT, Lee PC, Liu CA, Chou SC, Huang YH, Luo JC, Hou MC, Wu JC, Su CW.   +9 more
europepmc   +1 more source

IDENTIFYING PATTERNS IN THE PSYCHOPHYSIOLOGICAL STATE OF SUBJECTS IN EXTREME CONDITIONS, BASED ON THE METHODS OF DECISION TREES AND NEURAL NETWORKS

, 2020
V.M. Uskov, N. I. Popov, В. Н. Попов   +2 more
openalex   +1 more source

The Realization of Multidirectional, Free‐Standing 3D Plasmonic Nanostructures via 3D Nanoprinting: A Case Study of Fractal Antennas

Advanced Functional Materials, EarlyView.
Free‐standing plasmonic gold‐based fractal antennas are fabricated by 3D nanoprinting, employing focused electron beam induced deposition and an optimized purification method to remove carbon while conserving structural fidelity. Simulation and experiment show broadband plasmonic activity, including customizable polarizability, thereby paving the way ...
Verena Reisecker, Robert Winkler, Ulrich Hohenester, Evelin Fisslthaler, Daniel Knez, Gerald Kothleitner, Georg Haberfehlner   +6 more
wiley   +1 more source

Resilience and loneliness among older adults: an analysis using decision tree techniques. [PDF]

Aging Clin Exp Res
Khatib A, Gazerani A, Fereidouni Sarijeh P, Pazhavand M, Ebrahimi MA, Ranjbari B.   +5 more
europepmc   +1 more source