Results 151 to 160 of about 686,580 (270)

Learning Decision Trees from Time-changing Uncertain Data Streams

, 2013
Chunquan Liang, Yang Zhang, Shaojun Hu
openalex   +1 more source

Accurate and Efficient Behavioral Modeling of GaN HEMTs Using An Optimized Light Gradient Boosting Machine

Advanced Theory and Simulations, EarlyView.
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain, Mohammad Hashmi, Fadhel M. Ghannouchi   +2 more
wiley   +1 more source

Predicting Fiber Length Characteristics of Recycled Cotton and Cellulose Fiber Blends Using Machine Learning Models

Advanced Theory and Simulations, EarlyView.
This study explores machine learning‐driven prediction of fiber length characteristics in sustainable yarn blends made from recycled cotton and Lyocell. By analyzing empirical data through models like Random Forest and Gradient Boosting, and interpreting results with SHAP, key fiber length features from the Staple Diagram and Fibrogram are identified ...
Tuser Tirtha Biswas, Michael Will, Nawar Kadi   +2 more
wiley   +1 more source

A Reinforcement Learning Approach to Online Learning of Decision Trees

, 2015
Abhinav Garlapati, Aditi Raghunathan, Vaishnavh Nagarajan, Balaraman Ravindran   +3 more
openalex   +2 more sources

Cost-Sensitive Decision Tree Learning [PDF]

, 2019

openalex   +1 more source

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth

Advanced Theory and Simulations, EarlyView.
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic, Natasha Dropka, Xia Tang, Janina Zittel   +3 more
wiley   +1 more source

Automated classification of skeletal malocclusion in German orthodontic patients. [PDF]

Clin Oral Investig
Paddenberg-Schubert E, Midlej K, Krohn S, Kuchler E, Watted N, Proff P, Iraqi FA.   +6 more
europepmc   +1 more source

Structural Monitoring with Distributed-Regional and Event-based NN-Decision Tree Learning Using Mobile Multi-Agent Systems and Common Java Script Platforms

, 2016
Stefan Bosse
openalex   +1 more source

Lecithin Alleviates Memory Deficits and Muscle Attenuation in Chinese Older Adults and SAMP8 Mice

Advanced Science, EarlyView.
This study opens a new avenue for safeguarding cognition and muscle health, averting disability in older age, and treating age‐related pathologies through lecithin supplementation. It serves as a promising nonpharmacological intervention for the crosstalk of muscle and cognition.
Xianyun Wang, Dajun Li, Xiao Ying Li, Weizhao Lu, Huini Ding, Chengyan Qi, Xuan Wang, Jing Shen, Yafei Chi, Tiantian Li, Michelle M. Dunk, Yu An, Hongmei Huang, Kang Yu, Weili Xu, Rong Xiao, Yuandi Xi   +16 more
wiley   +1 more source

A lightweight framework to secure IoT devices with limited resources in cloud environments. [PDF]

Sci Rep
Pandey VK, Sahu D, Prakash S, Rathore RS, Dixit P, Hunko I.   +5 more
europepmc   +1 more source