Organization agility: a literature review and research agenda

J Motwani, A Katatria - International Journal of Productivity and …, 2024 - emerald.com
Purpose The purpose of this literature review paper is to explore the concept of organization
agility and its relevance in today's dynamic business environment. By conducting an in …

[HTML][HTML] Ten deep learning techniques to address small data problems with remote sensing

A Safonova, G Ghazaryan, S Stiller… - International Journal of …, 2023 - Elsevier
Researchers and engineers have increasingly used Deep Learning (DL) for a variety of
Remote Sensing (RS) tasks. However, data from local observations or via ground truth is …

[HTML][HTML] Accuracy of artificial intelligence-designed single-molar dental prostheses: A feasibility study

RCW Chau, RTC Hsung, C McGrath, EHN Pow… - The Journal of Prosthetic …, 2024 - Elsevier
Statement of problem Computer-aided design and computer-aided manufacturing (CAD-
CAM) technology has greatly improved the efficiency of the fabrication of dental prostheses …

'Small Data'for big insights in ecology

LC Todman, A Bush, ASC Hood - Trends in Ecology & Evolution, 2023 - cell.com
Big Data science has significantly furthered our understanding of complex systems by
harnessing large volumes of data, generated at high velocity and in great variety. However …

Systematic review: fluid biomarkers and machine learning methods to improve the diagnosis from mild cognitive impairment to Alzheimer's disease

K Blanco, S Salcidua, P Orellana… - Alzheimer's Research & …, 2023 - Springer
Mild cognitive impairment (MCI) is often considered an early stage of dementia, with
estimated rates of progression to dementia up to 80–90% after approximately 6 years from …

Mobile learning in nursing education: A bibliometric analysis and visualization

T Yalcinkaya, SC Yucel - Nurse Education in Practice, 2023 - Elsevier
Aim This study performed a bibliometric analysis of studies related to mobile learning in the
field of nursing education. Methods The Scopus database was used to determine the most …

[HTML][HTML] Agile software development in healthcare: a synthetic sco** review

P Kokol - Applied Sciences, 2022 - mdpi.com
Even though software can be found everywhere, software development has encountered
many problems, resulting in the emergence of new alternative development paradigms …

Machine learning approaches for the prediction of hepatitis B and C seropositivity

V Harabor, R Mogos, A Nechita, AM Adam… - International journal of …, 2023 - mdpi.com
(1) Background: The identification of patients at risk for hepatitis B and C viral infection is a
challenge for the clinicians and public health specialists. The aim of this study was to …

An in-depth analysis of digital marketing trends and prospects in small and medium-sized enterprises: utilizing bibliometric map**

N Laila, P Sucia Sukmaningrum… - Cogent Business & …, 2024 - Taylor & Francis
This study presents a bibliometric analysis of digital marketing research within small and
medium-sized enterprises (SMEs) spanning from 1985 to 2024. By analyzing 699 …

Utilization of synthetic minority oversampling technique for improving potato yield prediction using remote sensing data and machine learning algorithms with small …

H Ebrahimy, Y Wang, Z Zhang - ISPRS Journal of Photogrammetry and …, 2023 - Elsevier
In recent years, the integration of machine learning (ML) algorithms and remote sensing
data has been the commonly deployed practice for potato yield prediction in different scales …