From classical interpretive structural modeling to total interpretive structural modeling and beyond: A half-century of business research
S Sorooshian, M Tavana… - Journal of Business …, 2023 - Elsevier
Despite the widespread use of interpretive structural modeling (ISM) in business research,
little is known about its overall scientific productivity and impact on business research. This …
little is known about its overall scientific productivity and impact on business research. This …
Transfer learning with time series data: a systematic mapping study
Transfer Learning is a well-studied concept in machine learning, that relaxes the assumption
that training and testing data need to be drawn from the same distribution. Recent success in …
that training and testing data need to be drawn from the same distribution. Recent success in …
Doing qualitative research online
J Salmons - 2021 - torrossa.com
New to online research? This book will give you the foundation you need to confidently
design and conduct a project using internet methods. First providing an overview of online …
design and conduct a project using internet methods. First providing an overview of online …
The role of STEM Education in improving the quality of education: a bibliometric study
SM Jamali, N Ale Ebrahim, F Jamali - International Journal of Technology …, 2023 - Springer
Abstract The United Nations (UN) has launched several initiatives to promote the role of
education in Sustainable Development Goals (SDGs) and set Goal 4 for quality education …
education in Sustainable Development Goals (SDGs) and set Goal 4 for quality education …
[HTML][HTML] Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system
Recently, time series image (TSI) has been reported to be an effective resource to mapping
fine land use/land cover (LULC), and deep learning, in particular, has been gaining growing …
fine land use/land cover (LULC), and deep learning, in particular, has been gaining growing …
Two decades of financial statement fraud detection literature review; combination of bibliometric analysis and topic modeling approach
M Soltani, A Kythreotis, A Roshanpoor - Journal of Financial Crime, 2023 - emerald.com
Purpose The emergence of machine learning has opened a new way for researchers. It
allows them to supplement the traditional manual methods for conducting a literature review …
allows them to supplement the traditional manual methods for conducting a literature review …
A bibliometric study of medical tourism
This bibliometric study analyzes 1535 publications from 1952 to 2020 on medical tourism.
The aim of the study is to portray medical tourism publication trends from different …
The aim of the study is to portray medical tourism publication trends from different …
A multimodal deep learning-based fault detection model for a plastic injection molding process
The authors of this work propose a deep learning-based fault detection model that can be
implemented in the field of plastic injection molding. Compared to conventional approaches …
implemented in the field of plastic injection molding. Compared to conventional approaches …
[HTML][HTML] Graph Neural Networks: a bibliometrics overview
Recently, graph neural networks (GNNs) have become a hot topic in machine learning
community. This paper presents a Scopus-based bibliometric overview of the GNNs' …
community. This paper presents a Scopus-based bibliometric overview of the GNNs' …
Deep learning approach for damage classification based on acoustic emission data in composite materials
F Guo, W Li, P Jiang, F Chen, Y Liu - Materials, 2022 - mdpi.com
Damage detection and the classification of carbon fiber-reinforced composites using non-
destructive testing (NDT) techniques are of great importance. This paper applies an acoustic …
destructive testing (NDT) techniques are of great importance. This paper applies an acoustic …