Results 61 to 70 of about 1,760,771 (341)
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Examinatıon Of Theses Written In The Field Of Nursing Management In Turkey: The Retrospectıve Revıew
Sağlık ve Hemşirelik Yönetimi Dergisi, 2020 INTRODUCTION: The purpose of this study it is to analysis Department of Nursing Services Management in Turkey master and doctorate theses properties and subject topics trends.
Fatma Demirkaya
doaj +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Advanced Intelligent Discovery, EarlyView.Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems
Advanced Intelligent Discovery, EarlyView.This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley +1 more source
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
Advanced Intelligent Discovery, EarlyView.This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
A Network Analysis of the Teachers and Graduate Students' Research Topics in the Field of Mass Communication [PDF]
Journal of Library and Information Studies, 2013 The completion of a master's thesis requires the advisor's guidance on topic selection, data collection, analysis, interpretation and writing. The advisory committee's input also contributes to the work.
Yung-Nan Yu, Ming-Shu Yuan
doaj +1 more source
, 2022 R Scripts associated with the Master Thesis Soil Nitrogen Cycling and Microbial Response following Urea ...
openaire +1 more source
Review of Writing Your Master’s Thesis: From A to Zen
, 2017 This is a review of the book Writing Your Master’s Thesis: From A to Zen by Lynn P. Nygaard.
K. Solli
semanticscholar +1 more source
American Journal of Botany, EarlyView.Abstract Premise Humans have used fire to manage landscapes for millennia, but this use of fire is declining in many ecosystems. Understanding how plants respond to these changes is key to predicting ecosystem resilience and impacts on services such as biodiversity and carbon sequestration. However, many ecosystems lack data on plant fire responses.
Kimberley J. Simpson +2 more
wiley +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT Culturally and linguistically diverse (CALD) young people encounter unique circumstances, which can lead to high levels of distress. However, an up‐to‐date comprehensive literature review synthesising knowledge concerning mental health issues faced by CALD young people is lacking.
Abner Weng Cheong Poon +4 more
wiley +1 more source