Home »
Academic Articles & Research Papers
Showing 20 of 1,051 academic articles
Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu et al. • Digital Health
(2022)
Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. Method The transfer learning method w...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/20552076221120317
Ye Kuang, Yan Yu, Jing Li, Chuanmei Peng et al. • BMC Medical Informatics and Decision Making
(2026)
Abstract Background Diabetes mellitus (DM) combined with coronary heart disease (CHD) significantly increases the risk of cardiovascular events with a greater mortality rate. Therefore, establishing a predictive model can help DM patients r...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12911-026-03461-w
Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications
(2024)
Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/s00521-023-09366-3
Robinson Spencer, Fadi Thabtah, Neda Abdelhamid, Michael Thompson • Digital Health
(2020)
Machine learning has been used successfully to improve the accuracy of computer-aided diagnosis systems. This paper experimentally assesses the performance of models derived by machine learning techniques by using relevant features chosen b...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/2055207620914777
Chunyu Pan, Ying Ma, Lifei Wang, Yan Zhang et al. • Brain Sciences
(2024)
Major Depressive Disorder (MDD) is a significant neurological condition associated with aberrations in brain functional networks. Traditional studies have predominantly analyzed these from a network topology perspective. However, given the ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/brainsci14050509
Alireza Kasaie, Suchithra Rajendran • Healthcare Analytics
(2023)
This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care. We develop and compare four machine learning models, including multinomial logistic regression, decision ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.health.2023.100242
Muhammet Damar, Tuncay Küme, İbrahim Yüksel, Ali Emre Çetinkol et al. • Düzce Tıp Fakültesi Dergisi
(2024)
Aim: This study aimed to evaluate the position of Turkey in the field of Medical Informatics and assess the general structure of research by analyzing Medical Informatics research with bibliometric methods. Material and Methods: In this stu...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.18678/dtfd.1410276
Zhadyra Alimbayeva, Chingiz Alimbayev, Kassymbek Ozhikenov, Nurlan Bayanbay et al. • Sensors
(2024)
With cardiovascular diseases (CVD) remaining a leading cause of mortality, wearable devices for monitoring cardiac activity have gained significant, renewed interest among the medical community. This paper introduces an innovative ECG monit...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24134201
M. Vinod, B. S. Nithyananda, Shrishail B. Sollapur, Satish Gajbhiv et al. • Scientific Reports
(2026)
Abstract This work examined the role of alkaline and epoxy-based surface chemical treatments on the mechanical and thermal properties of flax fiber reinforced Aluminum Alloy 6082 hybrid Fiber Metal Laminates (FMLs), integrated with machine ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-58852-w
Hans-Christoph Burmeister, Manfred Constapel • Frontiers in Robotics and AI
(2021)
In this survey, results from an investigation on collision avoidance and path planning methods developed in recent research are provided. In particular, existing methods based on Artificial Intelligence, data-driven methods based on Machine...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frobt.2021.739013
Wojciech Giernacki • Applied Sciences
(2019)
With an increasing number of multirotor unmanned aerial vehicles (UAVs), solutions supporting the improvement in their precision of operation and safety of autonomous flights are gaining importance. They are particularly crucial in transpor...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app9040648
Jinping Zhao, Ali Arefi, Alberto Borghetti, Gerard Ledwich • Journal of Modern Power Systems and Clean Energy
(2024)
There is a general concern that the increasing penetration of electric vehicles (EVs) will result in higher aging failure probability of equipment and reduced network reliability. The electricity costs may also increase, due to the exacerba...
DOAJ
Open Access (DOAJ)
DOI: 10.35833/MPCE.2022.000837
David J. Gunkel • The MIT Press eBooks
(2018)
A provocative attempt to think about what was previously considered unthinkable: a serious philosophical case for the rights of robots. We are in the midst of a robot invasion, as devices of different configurations and capabilities slowly ...
OPENALEX
DOI: https://doi.org/10.7551/mitpress/11444.001.0001
Paolo Bonato, David Reinkensmeyer, Mario Manto • Journal of NeuroEngineering and Rehabilitation
(2025)
Abstract The Journal of NeuroEngineering and Rehabilitation (JNER) has become a major actor for the dissemination of knowledge in the scientific community, bridging the gaps between innovative neuroengineering and rehabilitation. Major fiel...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12984-025-01580-5
Ross M. McKenzie, Jamie O. Roberts, Mohammed E. Sayed, Adam A. Stokes • Advanced Intelligent Systems
(2019)
Peristaltic conveyance can be used for the sorting and transport of delicate and nonrigid objects such as meat or soft fruit. The non‐linearity and stochastic behavior of peristaltic systems make them difficult to control. Optimizing contro...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/aisy.201900070
Gustavo A. Mesías-Ruiz, Gustavo A. Mesías-Ruiz, María Pérez-Ortiz, José Dorado et al. • Frontiers in Plant Science
(2023)
Crop protection is a key activity for the sustainability and feasibility of agriculture in a current context of climate change, which is causing the destabilization of agricultural practices and an increase in the incidence of current or in...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpls.2023.1143326
Tawseef Ayoub Shaikh, Rashid Ali • IEEE International Conference on Computer and Information Technology (CIT)
(2016)
Big Data is a term which denotes data that is beyond storage capacity and processing capabilities of classical computer and getting some insight from large amount of data is a very big challenge at hand. Quantum Computing comes to rescue by...
OPENALEX
DOI: https://doi.org/10.1109/cit.2016.79
• Wiley eBooks
(2023)
Machine learning, deep learning, probabilistic neural networks, blockchain, and other new technologies all demand extremely high processing speeds. A quantum computer is an example of such a system. Quantum computers may be accessed over th...
OPENALEX
DOI: https://doi.org/10.1002/9781394167401
Kali Charan Rath, Emmanuel Philip Ododo, Mudligiriyappa Niranjanamurthy, Chitta Ranjan Deo et al. • Auerbach Publications eBooks
(2025)
We explore the transformative realm of quantum computing, promising exponential speed in problem-solving across various domains, in this chapter. Beginning with a comprehensive overview of quantum computing principles and architectures, the...
OPENALEX
DOI: https://doi.org/10.1201/9781003499459-5
Mr. M. Rajeshkumar Dr. R. Mariappan Mr. E.Janakiraman • Zenodo (CERN European Organization for Nuclear Research)
(2026)
Quantum Computing The twenty-first century has witnessed remarkable advancements in computing technologies, transforming every aspect of modern society. As conventional computing systems approach their physical and computational limits, the...
OPENALEX
cc-by
DOI: https://doi.org/10.5281/zenodo.20696699